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The 'Core Techies'

4.7

205

8.5

94%

BIKANER, India

$15 USD per hour

Core Techies is a software development and AI engineering company helping startups and enterprises build scalable digital products, automation systems, AI-powered solutions, and SaaS platforms. Since 2013, we have successfully delivered 200+ projects across web applications, mobile apps, backend systems, enterprise software, workflow automation, and AI-powered products. Our expertise includes: 🚀 AI Agents & AI Applications Custom AI agents, conversational AI systems, RAG applications, LLM integrations, document intelligence, and business process automation. ⚡ Workflow Automation n8n, Make.com, Zapier, CRM automation, sales workflows, operational automation, lead management, customer support automation, and system integrations. 📱 Mobile App Development Flutter, Android, iOS, React Native, Firebase-powered applications, MVP development, and enterprise mobile solutions. 💻 Web & SaaS Development React, Next.js, Node.js, Python, Java, Spring Boot, custom SaaS platforms, admin dashboards, multi-tenant systems, and enterprise applications. 🔌 API & System Integrations CRM, ERP, payment gateways, third-party APIs, cloud services, communication platforms, and business system integrations. ☁️ Cloud & DevOps AWS, Google Cloud, Docker, Kubernetes, CI/CD, deployment automation, and scalable cloud infrastructure. Our team focuses on building practical solutions that improve operations, automate workflows, reduce manual effort, and help businesses scale efficiently. Whether you need an AI-powered product, SaaS platform, mobile application, automation workflow, or enterprise software solution, we can help transform your idea into a production-ready system.

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Codesigma Technologies

4.8

6.7

99%

Howrah, India

$75 USD per hour

We are Codesigma Technology Services, a full-stack development agency based in India with 10+ years of delivering complex, production-ready applications. Our founder and top developers have experience working with Inc. 5000 companies and professional teams across the world, bringing a strong understanding of diverse, multicultural work environments to every project. We are a tight team of experienced developers - small enough to move fast, experienced enough to build right. You always work with the most senior person, not a project manager who delegates to juniors. What we've built: -> Cross-platform POS system - React, Firebase, Flutter, Electron - running on Web, Android, iOS, macOS, and Windows with full offline-first functionality and real-time sync -> Multi-channel e-commerce aggregator - unified management of Amazon, Flipkart, Shopify, Meesho, Nykaa orders, inventory, warehouse, and payment reconciliation -> Real-time audio/video interpretation SaaS - Twilio Voice/Video, Task Router, BoostLingo integration, serving a global user base -> Booking systems, media streaming platforms, headless CMS websites, Shopify applications, and WordPress plugins across industries Our technical stack: Frontend: React, Next.js, Angular, JavaScript, TypeScript Backend: Node.js, PHP (Laravel, CodeIgniter), Python Mobile & desktop: Flutter, React Native, Electron.js Real-time: Twilio, Firebase, WebSockets Data: MySQL, MongoDB, PostgreSQL, Firestore Integrations: Stripe, PayPal, Razorpay, Shopify API, Amazon SP-API, GraphQL Infrastructure: AWS, Linux server management, deployment We are the right fit if you need: - A long-term development partner, not a one-off freelancer - End-to-end ownership from architecture to deployment - Cross-platform delivery (web + mobile + desktop from one team) - Complex integrations with third-party APIs and platforms - Clean, documented, maintainable code that your team can take over We work on fixed-price and hourly engagements. For ongoing projects, we offer monthly retainer arrangements. Let's discuss your project.

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Marco Leonardo S.

5.0

5.8

100%

Cuenca, Ecuador

$25 USD per hour

I am a Computer Engineer with over 18 years of experience creating web solutions that generate real results. I help companies and entrepreneurs transform their digital presence into a tool for growth, efficiency, and online positioning. 💡 What I do I design and develop customized, fast, and cost-effective websites focused on user experience, technical SEO, and conversion optimization. My approach combines strategy, technology, and design so that every project has a measurable impact from day one. ⚙️ Specialties PHP | WordPress | HTML5/CSS3 | JavaScript (ES6+) | Shopify | eCommerce | Technical SEO | Azure / AWS | Linux Servers | Embedded Firmware | RS485/Modbus RTU | Python for Data Acquisition (Streamlit, Dash) | Node-RED | STM32/ESP32/Arduino 🌟 Why work with me I offer tailor-made solutions, not generic templates. I deliver measurable results focused on your business goals. I have a comprehensive vision: development, performance, security, and digital marketing. Clear communication, meeting deadlines, and total commitment to quality. Additionally, I bring proven experience in industrial instrumentation, firmware for multi-sensor UART reading, and robust SCADA/PC visualization with real-time logging. 💬 Ready to take your project to the next level? Let's talk and design a digital strategy together that converts visitors into customers.

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Juan C.

4.8

6.2

100%

Barranquilla, Colombia

$35 USD per hour

Hello! I'm Juan Jose C, a full-stack developer experience in building modern web app, game and integrating AI features. I specialize in creating dynamic, scalable solutions with a focus on AI-driven functionality, using technologies like C#, .Net, Core, WebGL, Three.js, Angular, React, Next.js, Node.js, Vue.js and Tailwind CSS. I also leverage the latest and most popular AI code tools to write fast, efficient, and scalable code, ensuring top-tier performance and innovation in every project. My Main Skills: Frontend: React, Next.js, Vue.js, TailwindCSS, Shadcn Backend: Node.js, Express, Laravel, Python, Django, REST APIs, FastAPI, GraphQL, WebSocket, Socket.io AI & LLMs: OpenAI (GPT-4, ChatGPT), Chatbot, LangChain, Cohere, Pinecone Cloud & Deployment: Vercel, AWS, Firebase Database: MySQL, MongoDB, PostgreSQL, Supabase, Adrant, ChromeDB Tools: Cursor, Lovable, Bolt.new, V0.dev, Zed, Warp, Figma

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Sayan K.

5.0

3.3

95%

Kolkata, India

$25 USD per hour

Hello, my name is Sayan Karmakar. Pursuing B.Tech in CSE from Indian Institute of Information Technology, Kalyani (2021-25). I am skilled in a wide range of Python-based technologies and techniques, covering core programming, web development, machine learning, and data analysis. My expertise includes: Portfolio: https://sayan.zodar.in/ Core Programming: -> Python Programming -> C Programming -> Object-Oriented Programming (OOP) ->Java Programming -> Data Structures and Algorithms (DSA) Web Development: -> React.js ->Node.js -> Machine Learning & Data Analysis: -> Scikit-Learn, Tensorflow, Pandas, Numpy -> OpenCV, Streamlit, Matplotlib, Plotly Web Scraping: -> Requests, BeautifulSoup, Playwright These technologies are my core tools, and I am dedicated to delivering high-quality solutions across these areas.

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Marediasoft

5.0

6.1

100%

Karachi, Pakistan

$110 USD per hour

ABOUT MAREDIASOFT A Team of Creative & Innovative Thinkers Marediasoft has the best-qualified digital marketers who strive to build measurable and enduring business-customer relationships. We are committed to assisting companies in building their online brand strength. The professionals at Marediasoft are diverse in their backgrounds and skill sets. Making our strategy for digital marketing flexible and novel. Website Development Digital Marketing • Digital Experience Development • Content Marketing • Shopify Ecommerce Development • Creative Content Campaign • Wordpress Development • Google Business Page • Web Infrastructure Development • Social Media Marketing • Content Management System • Email Blast SEO Brand Development • SEO Consultancy • Branding Kit • E-commerce SEO • UI/UX Designs • Technical SEO • Printing Materials • International SEO • Signages • Paid Search / PPC • Social Media Banners

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Anas Khalid A.

5.0

6.2

100%

Rawalpindi, Pakistan

$85 USD per hour

I help startups and enterprises design, build, and deploy production-grade AI systems; not demos or experiments. My work focuses on LLM-powered applications, intelligent automation, and scalable machine learning solutions that deliver measurable business impact. I am an IBM Certified AI & Machine Learning Engineer with 6+ years of professional experience, an ongoing PhD and a proven record of delivering reliable AI systems for global clients across healthcare, fintech, research, and enterprise automation. What I Specialize In AI & Machine Learning Custom ML & deep learning models (NLP, computer vision, predictive analytics) Model optimization, evaluation, and deployment at scale LLM & Conversational AI ChatGPT / OpenAI-powered systems RAG pipelines, vector databases, and knowledge assistants LangChain, custom agents, and fine-tuned LLM workflows Automation & Backend Engineering Python-based automation, APIs, and microservices FastAPI, Flask, webhooks, Zapier, n8n integrations End-to-end AI pipelines from data → model → production Applied AI Research Research-driven model design Medical, scientific, and data-intensive AI systems Bridging academic research with real-world deployment Experience & Impact 180+ AI / ML projects delivered across freelance and enterprise engagements 160+ deployed models and 260+ datasets processed 100% on-time & on-budget delivery with a 5.0 client rating Trusted by clients in the US, UK, Europe, Middle East, and Asia Why Clients Work With Me ✔ Preferred Freelancer (Top 3%) ✔ Clear communication & structured delivery ✔ Clean, maintainable, production-ready code ✔ Strong problem-solving and system design mindset ✔ Long-term support and scalable architecture I don’t just build models - I build AI systems that work in production. Let’s Work Together If you need: A custom AI or LLM solution An intelligent chatbot or RAG system AI-driven automation or backend services Research-backed, production-ready ML models Let’s discuss your requirements and turn your idea into a high-performance AI solution.

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Umais K.

4.9

3.8

92%

Suwon-si, Korea, Republic of

$20 USD per hour

I am a highly skilled Engineer with experience in cutting-edge technologies, using Python, Computer Vision, Deep Learning, and Machine Learning. My expertise includes cloud computing, MATLAB, C/C++, TinyML, and edge device inferencing.. I am proficient in designing and implementing robust AI solutions, optimizing models for resource-constrained environments, and developing systems for real-time performance. Whether it's creating innovative machine learning pipelines, deploying AI on the cloud, or programming in low-level languages, I bring a versatile skill set to meet your project needs. I have obtained multiple certifications in my domain. Along with 2 Publications. If you're looking for an expert to complete your projects, let’s collaborate!

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Deepanshu G.

4.9

4.6

91%

Cheeka, India

$30 USD per hour

I'm a Verified Data Scientist and Analytics Engineer who builds decision-ready data systems — not just dashboards or models. I help businesses move from fragmented, slow, or unreliable data to clean pipelines, trusted metrics, and predictive insights that leaders can actually act on. My work sits at the intersection of Data Science, Business Intelligence, and Analytics Engineering — with a strong focus on structure, reproducibility, and real business impact. If your dashboards are slow, numbers don't reconcile, or insights arrive too late to matter — I fix the underlying data model, logic, and pipeline so decisions are based on facts, not guesswork. What I Deliver → BI & Analytics Engineering: KPI frameworks, semantic layers, executive dashboards, DAX optimization, and data validation systems → Applied Data Science: Forecasting, churn prediction, segmentation, anomaly detection, and explainable ML tied to business outcomes → Data Pipelines & Automation: Python + SQL pipelines for ingestion, transformation, cleansing, and QA — built for scale and reproducibility → Business & Financial Analytics: Cash-flow forecasting, ROI analysis, scenario planning, costing models, and operational KPIs → Data Integration: Excel, Google Sheets, databases, APIs, and external systems unified into a single analytics layer How I Work Every engagement starts with clear problem framing and success metrics. My delivery is scope-driven, milestone-based, and fully documented — built for clean handover and long-term usability. I focus on analytics people can trust, understand, and act on. GitHub: github.com/deepanshu0110

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Clients rate our Streamlit Specialists

4.92 out of 5

from 471 reviews

How to hire a great freelance Streamlit Specialist

A Streamlit specialist is a Python developer who builds interactive data applications, dashboards, and machine learning interfaces using the Streamlit open-source framework. Hiring a Streamlit specialist gives you a fast path from raw data and trained models to a shareable web app, without the overhead of building a full-stack frontend from scratch.

What a Streamlit specialist actually delivers

Streamlit developers turn Python scripts, notebooks, and machine learning models into browser-based applications that stakeholders can use without installing anything. The output is typically a live web app with widgets, charts, file uploads, and authenticated access, deployed on Streamlit Community Cloud, AWS, GCP, Azure, or Docker-based infrastructure.

This matters commercially because internal tools, prototypes, and ML demos that would otherwise take a frontend team weeks can ship in days. Data teams use Streamlit apps to expose model predictions to business users, run what-if simulations, and replace fragile spreadsheets with auditable interfaces.

Common deliverables and project types

Interactive data dashboards with filters, KPIs, and drill-down charts

Machine learning model demos for classification, regression, forecasting, and computer vision

Large language model interfaces, RAG chat apps, and prompt engineering playgrounds

Internal tools for data labeling, annotation review, and quality assurance

Geospatial apps using Folium, PyDeck, and Mapbox layers

Financial modeling apps with scenario analysis and downloadable reports

ETL monitoring panels and data quality dashboards

Multi-page apps with role-based authentication and Snowflake, BigQuery, or PostgreSQL backends

Custom Streamlit components built with React for specialised UI requirements

Deployment, containerisation, and CI/CD pipelines for production Streamlit apps

Tools, libraries, and frameworks Streamlit experts use

A capable Streamlit developer works fluently across the Python data stack and modern deployment tooling. Core competencies include:

Streamlit core APIs, session state, caching, fragments, and multi-page routing

Pandas, Polars, NumPy, and PyArrow for data manipulation

Plotly, Altair, Matplotlib, Bokeh, and ECharts for visualisation

scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face Transformers for ML integration

LangChain, LlamaIndex, OpenAI, and Anthropic SDKs for LLM-powered apps

SQLAlchemy, DuckDB, Snowflake, BigQuery, and Postgres connectors

Streamlit Community Cloud, Docker, Kubernetes, AWS ECS, and Hugging Face Spaces for deployment

streamlit-authenticator, OAuth, and SSO integrations for secure internal apps

streamlit-aggrid, streamlit-extras, and custom component development with React and TypeScript

Industries and use cases

Streamlit is widely adopted across data-driven industries. Common engagements include:

Fintech firms building portfolio analytics, risk dashboards, and pricing tools

Healthcare and biotech teams visualising clinical trial data and genomics pipelines

E-commerce and retail businesses running demand forecasting and pricing simulators

SaaS companies prototyping AI features before committing to production frontends

Logistics and supply chain operators monitoring routes, inventory, and KPIs

Research labs and academic groups sharing reproducible analyses with non-technical collaborators

Marketing analytics teams exposing attribution models and campaign performance

How to evaluate a Streamlit specialist

Strong candidates combine Python engineering with product sensibility. Look for these signals on a profile:

Public Streamlit apps deployed on Community Cloud, Hugging Face Spaces, or a portfolio site

GitHub repositories showing clean project structure, requirements pinning, and modular code

Demonstrated experience with caching strategies, session state, and performance optimisation

Evidence of integrating databases, APIs, and authentication into Streamlit apps

Familiarity with at least one cloud deployment path beyond Community Cloud

UI judgement: layouts that are readable, responsive, and free of widget clutter

Useful interview questions to ask shortlisted candidates:

How do you decide between st.cache_data and st.cache_resource, and what are the pitfalls of each?

Can you walk me through how you would structure a multi-page Streamlit app with shared session state and authentication?

What is your approach to handling long-running computations or LLM streaming responses without freezing the UI?

Have you built custom Streamlit components, and when would you reach for one instead of using the built-in widgets?

How do you deploy a Streamlit app to production, and what do you monitor once it is live?

Adjacent skills worth considering

Depending on scope, you may want a freelancer who also covers Python development, data engineering, machine learning engineering, FastAPI, Plotly Dash, data visualisation, or DevOps. For LLM-heavy projects, look for experience with vector databases like Pinecone, Weaviate, or pgvector, plus prompt engineering and retrieval-augmented generation patterns.

Why hire Streamlit specialists on Freelancer.com

Freelancer.com gives you access to a global pool of Python developers and data professionals with deep, demonstrable Streamlit experience. You can review portfolios, ratings, completion rates, and verified reviews before you commit, and you set your own budget while receiving competitive bids from freelancers on Freelancer.com.

Whether you need a one-week ML demo or an ongoing internal tools partner, you can post a project on Freelancer.com and shortlist candidates within hours. Milestone Payments hold funds securely until agreed deliverables are met, giving both sides confidence throughout the engagement.

Ready to turn your data, models, or internal workflow into a working web app? Post a project on Freelancer.com today and connect with skilled Streamlit specialists ready to design, build, and deploy your application.

What are the steps to hiring a freelance Streamlit specialist?

Hiring a Streamlit specialist is straightforward when you treat the brief as a filter for technical fit. The process below helps you attract candidates who understand Python, data, and app design, and lets you compare proposals against the actual work you need delivered.

Step 1: Post your project on Freelancer.com

Your project post is the single biggest determinant of bid quality. A clear brief filters for Streamlit developers whose Python, data, and UI experience genuinely match your needs, and saves you hours of back-and-forth. Head to the post project page , where you fill in the brief, scope, timeline, and budget before publishing the project for freelancers to bid on.

Describe the data sources involved (CSV, Snowflake, BigQuery, REST APIs, Postgres) and approximate data volume

List the deliverables: dashboard, ML demo, internal tool, LLM chat interface, or multi-page app

Specify required integrations such as authentication, role-based access, or third-party APIs

Note deployment target: Streamlit Community Cloud, Hugging Face Spaces, AWS, GCP, Azure, or on-premise

State timeline expectations, whether you need source code handover, and any documentation requirements

Step 2: Review bids from freelancers

Bids are short proposals, not just price quotes. They reveal how each Streamlit specialist interprets your brief, what architecture they propose, and whether their timeline is realistic. Read carefully and shortlist candidates whose understanding of the work matches the project.

Check whether the proposal references specific Streamlit features relevant to your project, such as caching, fragments, or session state

Look for clarifying questions about data structure, user volume, or authentication, indicating real engagement with the brief

Assess whether the proposed approach names concrete libraries (Plotly, Pandas, LangChain) appropriate to the use case

Review attached sample apps, GitHub links, or Community Cloud demos to verify hands-on experience

Use Freelancer.com's chat to ask follow-up questions on architecture, deployment, and post-launch support before shortlisting

Step 3: Evaluate freelancers and award the project

The final decision combines proposal quality with profile evidence. Weigh consistency across past Streamlit work rather than a single impressive demo, and pay close attention to written client reviews that describe how the freelancer handled changes, debugging, and deployment.

Review portfolio depth: multiple deployed Streamlit apps across different domains is a stronger signal than one polished example

Check star ratings alongside the volume of completed projects to confirm consistent performance

Read written client reviews for mentions of code quality, communication, and on-time delivery

Confirm verified payment method, completion rate, and on-time delivery rate on the profile

Award the project to your chosen candidate and use Freelancer.com's Milestone Payments to release funds as agreed deliverables are met

How long does a typical Streamlit project take?

A focused dashboard or model demo can be delivered in a few days to two weeks, depending on data complexity and integrations. Production-grade multi-page apps with authentication, custom components, and cloud deployment usually run four to eight weeks. Scope, data readiness, and review cycles are the biggest drivers of timeline.

What is the difference between a Streamlit specialist and a general Python developer?

Any Python developer can write a Streamlit script, but a specialist understands the framework's execution model, caching, session state, and performance constraints in depth. They also bring opinions on layout, widget design, and deployment patterns that prevent the common pitfalls of slow, brittle apps.

Should I choose Streamlit or another framework like Dash or Gradio?

Streamlit is ideal for fast iteration on data apps, internal tools, and ML demos where Python-only development matters. Dash suits highly customised analytics dashboards with complex callbacks, while Gradio is geared toward ML model demos with minimal UI. A good Streamlit specialist can advise honestly on which fits your use case.

Can a Streamlit specialist deploy and host the app for me?

Yes. Most Streamlit freelancers handle deployment to Streamlit Community Cloud, Hugging Face Spaces, AWS, GCP, Azure, or your own Docker and Kubernetes infrastructure. They can also configure custom domains, SSL, authentication, and CI/CD pipelines as part of the engagement.

Do I need an agency or is a freelance Streamlit specialist enough?

For most dashboards, prototypes, and internal tools, a single experienced freelancer is sufficient and faster to engage. Agencies make more sense when you need a coordinated team across data engineering, ML, and frontend work. You can always start with a freelancer and scale the team as the project grows.