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Anas Khalid A.

@EngrAnasAwan5

monthly-level-three.svgverified-v2.svg
5.0
10

5.3

5.3

100%

✅IBM Certified AI-ML Engineer ✅Top 3% ✅PhD

$50 USD / Hour

・

Flag of

Pakistan (12:56 PM)

・

Joined on November 9, 2024

・

1 Recommendation

$50 USD / Hour

・

I'm Engr. Anas Awan, an IBM Certified AI Developer, Machine Learning Engineer, Data Scientist, and Automation Expert with over 5 years of proven experience delivering AI-powered applications, intelligent automation, and data-driven solutions across industries. Holding a Master's in Electrical Engineering with specialization in Machine Learning, Data Science and AI, multiple certifications from IBM, Microsoft, and Google, I specialize in transforming ideas into production-grade AI systems through creativity, precision, and scalable design. I've successfully completed 180+ AI, Machine Learning and data science projects, helping global clients automate workflows, improve analytics, and integrate AI into their business platforms. My experience spans custom model development, LLM fine-tuning, chatbot creation, and end-to-end automation pipelines. Core Expertise AI & Machine Learning: Deep learning, NLP, computer vision, LLM integration, and predictive analytics. Data Science: Data cleaning, transformation, visualization, and statistical modeling for business intelligence. AI Chatbot Development: Conversational AI, RAG pipelines, and OpenAI/LangChain-powered assistants. Automation & Integration: Zapier, n8n, FastAPI, and Python-based workflow automation with APIs and webhooks. Web & App Development: Scalable, responsive, and AI-integrated web and mobile applications. Cybersecurity: Secure AI deployment, vulnerability assessment, and threat mitigation. With experience across 260+ datasets and 160+ deployed models, I bring strong problem-solving skills, research-driven methodology, and clean, maintainable code to every project. My focus is simple, build smart, secure, and efficient AI solutions that deliver measurable impact. Whether you need a custom AI model, automation system, chatbot, or data-driven web app, I'll help you design and deploy it with speed and precision. Let's collaborate to transform your vision into an intelligent, high-performance solution. Explore my portfolio @ (Removed by Freelancer Admin)

Verifications

On time

100%

On budget

100%

Accept rate

100%

Repeat hire rate

16%

Freelancer Python Developers Pakistan
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Portfolio

Portfolio

13653665
I developed a high-performance IMAP email processing system capable of efficiently handling extremely large mailboxes up to one million emails to extract structured purchase and order information automatically. The solution integrates optimized IMAP fetching with parallel connections, batch retrieval, and intelligent snippet pre-filtering to significantly reduce processing time and resource usage. Using a hybrid AI parsing approach powered by both self-hosted Mistral models (via Ollama) and OpenAI GPT APIs, the system accurately extracts key data including order IDs, totals, product details, and evidence strings. Advanced regex-based pre-classification, multi-stage filtering, and automated retry logic were implemented to ensure robustness and high accuracy across Gmail, Outlook, and iCloud accounts. Results are streamed directly into CSV/JSON formats to prevent RAM overflow, supporting real-time scalability. The fully deployed solution running on a production server with monitoring and

AI-Powered IMAP Email Intelligence

13653638
Leading a project to enhance a hierarchical deep learning architecture for clinical analysis of multi-modal medical data, combining Transformers and CNNs for global–local feature extraction with attention and residual learning. The system improves diagnostic reliability via confusion-based ensemble strategies and extensive cross-validation across two datasets. Integrated multiple XAI modalities (SHAP, LIME, Grad-CAM, Integrated Gradients) to provide physician-interpretible insights. Deliverables include full codebase improvements and a 35+ page academic paper meeting Q1 publication standards with comparative studies and plagiarism-controlled integrity.

XAI-Driven Blood Cancer Detection

13653584
Developed and deployed OCR pipeline leveraging Google Vision API for reliable recognition of mechanical and digital meter digits. Implemented preprocessing techniques (denoising, perspective correction, dust removal, contrast enhancement) to handle glare, shadows, and image distortions common in field captures. Integrated rule-based post-processing to ensure accurate 6-digit readings, significantly reducing manual meter entry efforts.

Smart OCR System for Energy meters

Developed and deployed OCR pipeline leveraging Google Vision API for reliable recognition of mechanical and digital meter digits. Implemented preprocessing techniques (denoising, perspective correction, dust removal, contrast enhancement) to handle glare, shadows, and image distortions common in field captures. Integrated rule-based post-processing to ensure accurate 6-digit readings, significantly reducing manual meter entry efforts.

Smart OCR System for Energy meters

13653564
Developed a deep learning model for automated detection of major rice leaf diseases using transfer learning (ResNet/EfficientNet). Achieved high-accuracy classification by applying augmentation, optimized training pipelines, and evaluation on real-field images.

Rice leaf disease classification

13653533
Designed a predictive system to detect lysine acetylation sites using state-of-the-art protein foundation models (ESM-2 650M, ESM-2 3B, ESM-3). Extracted biologically meaningful sequence embeddings and trained optimized deep classifiers for improved sensitivity and precision. Implemented full preprocessing pipeline including sequence filtering, sliding-window residue mapping, and class-imbalance handling. Benchmarked performance against traditional machine learning methods and recent sequence-based predictors.

Protein Acetylation Site Prediction

Designed a predictive system to detect lysine acetylation sites using state-of-the-art protein foundation models (ESM-2 650M, ESM-2 3B, ESM-3). Extracted biologically meaningful sequence embeddings and trained optimized deep classifiers for improved sensitivity and precision. Implemented full preprocessing pipeline including sequence filtering, sliding-window residue mapping, and class-imbalance handling. Benchmarked performance against traditional machine learning methods and recent sequence-based predictors.

Protein Acetylation Site Prediction

12349915
I will provide end-to-end machine learning model development tailored to your specific industry needs. This includes data preprocessing, feature engineering, model selection and tuning, and deployment-ready solutions. My approach leverages advanced algorithms and frameworks like TensorFlow, Keras, and PyTorch to ensure high-performance, scalable models that deliver actionable insights for real-world applications.

Custom Machine Learning Solutions

13653665
I developed a high-performance IMAP email processing system capable of efficiently handling extremely large mailboxes up to one million emails to extract structured purchase and order information automatically. The solution integrates optimized IMAP fetching with parallel connections, batch retrieval, and intelligent snippet pre-filtering to significantly reduce processing time and resource usage. Using a hybrid AI parsing approach powered by both self-hosted Mistral models (via Ollama) and OpenAI GPT APIs, the system accurately extracts key data including order IDs, totals, product details, and evidence strings. Advanced regex-based pre-classification, multi-stage filtering, and automated retry logic were implemented to ensure robustness and high accuracy across Gmail, Outlook, and iCloud accounts. Results are streamed directly into CSV/JSON formats to prevent RAM overflow, supporting real-time scalability. The fully deployed solution running on a production server with monitoring and

AI-Powered IMAP Email Intelligence

13653638
Leading a project to enhance a hierarchical deep learning architecture for clinical analysis of multi-modal medical data, combining Transformers and CNNs for global–local feature extraction with attention and residual learning. The system improves diagnostic reliability via confusion-based ensemble strategies and extensive cross-validation across two datasets. Integrated multiple XAI modalities (SHAP, LIME, Grad-CAM, Integrated Gradients) to provide physician-interpretible insights. Deliverables include full codebase improvements and a 35+ page academic paper meeting Q1 publication standards with comparative studies and plagiarism-controlled integrity.

XAI-Driven Blood Cancer Detection

13653584
Developed and deployed OCR pipeline leveraging Google Vision API for reliable recognition of mechanical and digital meter digits. Implemented preprocessing techniques (denoising, perspective correction, dust removal, contrast enhancement) to handle glare, shadows, and image distortions common in field captures. Integrated rule-based post-processing to ensure accurate 6-digit readings, significantly reducing manual meter entry efforts.

Smart OCR System for Energy meters

Developed and deployed OCR pipeline leveraging Google Vision API for reliable recognition of mechanical and digital meter digits. Implemented preprocessing techniques (denoising, perspective correction, dust removal, contrast enhancement) to handle glare, shadows, and image distortions common in field captures. Integrated rule-based post-processing to ensure accurate 6-digit readings, significantly reducing manual meter entry efforts.

Smart OCR System for Energy meters

13653564
Developed a deep learning model for automated detection of major rice leaf diseases using transfer learning (ResNet/EfficientNet). Achieved high-accuracy classification by applying augmentation, optimized training pipelines, and evaluation on real-field images.

Rice leaf disease classification

13653533
Designed a predictive system to detect lysine acetylation sites using state-of-the-art protein foundation models (ESM-2 650M, ESM-2 3B, ESM-3). Extracted biologically meaningful sequence embeddings and trained optimized deep classifiers for improved sensitivity and precision. Implemented full preprocessing pipeline including sequence filtering, sliding-window residue mapping, and class-imbalance handling. Benchmarked performance against traditional machine learning methods and recent sequence-based predictors.

Protein Acetylation Site Prediction

Designed a predictive system to detect lysine acetylation sites using state-of-the-art protein foundation models (ESM-2 650M, ESM-2 3B, ESM-3). Extracted biologically meaningful sequence embeddings and trained optimized deep classifiers for improved sensitivity and precision. Implemented full preprocessing pipeline including sequence filtering, sliding-window residue mapping, and class-imbalance handling. Benchmarked performance against traditional machine learning methods and recent sequence-based predictors.

Protein Acetylation Site Prediction

12349915
I will provide end-to-end machine learning model development tailored to your specific industry needs. This includes data preprocessing, feature engineering, model selection and tuning, and deployment-ready solutions. My approach leverages advanced algorithms and frameworks like TensorFlow, Keras, and PyTorch to ensure high-performance, scalable models that deliver actionable insights for real-world applications.

Custom Machine Learning Solutions

5.0 · 10 Reviews
Reviews
A

Proofreading a ML/AI manuscript • $100 USD

Ok, still need finish our work , still waiting response some third party response

Abdulaziz A.

@Azoz6868

•

Flag of

Riyadh, Saudi Arabia

•

7 days ago

Share

J

Python AI NLP Developer • $500 USD

Anas thoroughly developed and dubbed our AI parsing code and is invaluable with his knowledge on NLP, AI and python.

Jason J.

@jason2681

•

Flag of

Woodmere, United States

•

1 month ago

Share

J

Peer Reviewers for UK AI Journal(s) • $20 USD

Thank you! The person is very qualified!

Jonathan K.

@jonathank55

•

Flag of

Springfield, United States

•

3 months ago

Share

F

Causal-Former-HMC: AI for Leukemia Diagnosis • $150 USD

I would like to express my deep gratitude and appreciation for the outstanding effort you put into this project. Your commitment and attention to detail were evident at every stage of the work, and the final result was exceptional by all standards. Not only did you complete the project ahead of schedule, but you also delivered it with a high level of professionalism and quality that exceeded all expectations.

Fares J.

@faresJ88

•

Flag of

Jeddah, Saudi Arabia

•

3 months ago

Share

R

Agentic AI MVP with NVIDIA Stack • $150 USD

Good work done with the task

Raghavendra P.

@r1g8u

•

Flag of

Bangalore, India

•

3 months ago

Share

Experience

AI Consultant

Feb, 2025 - Present

•

9 months, 1 day

MiniAiLive

Feb, 2025 - Present

•

9 months, 1 day

-Solely developed an AI-powered hand vascular authentication app, leveraging advanced preprocessing, CNN-based feature extraction, and Siamese networks to achieve secure, real-time biometric authentication with high accuracy. -Designed and implemented MiniAiLive’s biometric solutions, including facial recognition and liveness detection, achieving up to 99.99% verification accuracy for KYC compliance across finance, healthcare, and retail sectors.

Flag of

Dartford, United Kingdom

Feb, 2025 - Present

•

9 months, 1 day

Machine Learning Engineer | Data Scientist

Sep, 2019 - Present

•

6 years, 1 month

Upwork

Sep, 2019 - Present

•

6 years, 1 month

Freelance Machine Learning Engineer and Data Scientist

Flag of

Islamabad, Pakistan

User Avatar

Jan Sons E.

@jansons4907002

 ·

Director Operations

It is my pleasure to recommend Anas Awan, who worked as a Full Stack Machine Learning and AI Engineer under my supervision at JanSons'. Anas consistently displayed exceptional technical skills, a strong work ethic, and a drive for innovation. He played a key role in delivering end-to-end AI solutions, from building scalable ML models to deploying them using frameworks like FastAPI, Flask, React, and cloud platforms such as AWS and GCP. Notably, Anas led the development of an NLP pipeline for intelligent document processing, leveraging deep learning, Dockerized microservices, and CI/CD practices. His work was marked by clean coding, thoughtful design, and high-performance results. In addition to his technical contributions, Anas was a collaborative team member and mentor, effectively communicating complex ideas and supporting junior team members. Anas brings a rare combination of deep ML expertise and full-stack development capabilities. I highly recommend him to any organization seeking a talented and reliable engineer.

Sep, 2019 - Present

•

6 years, 1 month

Machine Learning Engineer

Sep, 2022 - Nov, 2024

•

2 years, 2 months

Predictive Intelligence and System Modelling (PRISM) Islamabad

Sep, 2022 - Nov, 2024

•

2 years, 2 months

-Developed and optimized CNN-based image classification models, leveraging transfer learning and enhanced data preprocessing and training efficiency. -Managed ETL processes for large datasets, ensuring high-quality data for image classification and NLP models. -Contributed to high-impact research publications, showcasing innovative model development and performance analysis, driving advancements in machine learning applications.

Sep, 2022 - Nov, 2024

•

2 years, 2 months

References

User Avatar

Jan Sons E.

@jansons4907002

 ·

Director Operations

It is my pleasure to recommend Anas Awan, who worked as a Full Stack Machine Learning and AI Engineer under my supervision at JanSons. Anas consistently displayed exceptional technical skills, a strong work ethic, and a drive for innovation. He played a key role in delivering end-to-end AI solutions, from building scalable ML models to deploying them using frameworks like FastAPI, Flask, React, and cloud platforms such as AWS and GCP. Notably, Anas led the development of an NLP pipeline for intelligent document processing, leveraging deep learning, Dockerized microservices, and CI/CD practices. His work was marked by clean coding, thoughtful design, and high-performance results. In addition to his technical contributions, Anas was a collaborative team member and mentor, effectively communicating complex ideas and supporting junior team members. Anas brings a rare combination of deep ML expertise and full-stack development capabilities. I highly recommend him to any organization seeking a talented and reliable engineer.

Education

PhD Artificial Intelligence

2025 - 2025

Flag of

Korea, Republic of

2025 - 2025

International Islamic University

2022 - 2024

•

2 years

MS Electrical Engineering | Spec: Machine Learning and Data Science

Flag of

Pakistan

2022 - 2024

•

2 years

International Islamic University

2015 - 2019

•

4 years

BS Electronics Engineering

Flag of

Pakistan

2015 - 2019

•

4 years

Qualifications

IBM Data Science Professional Certificate

2023

IBM

In this Professional Certificate, learners developed and honed hands-on skills in Data Science and Machine Learning. Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models.

2023

IBM AI Engineering Professional Certificate

2024

IBM

Learners who have completed this 6 course Professional Certificate have a practical understanding of Machine Learning (ML) & Deep Learning (DL). They have technical skills to start a career in AI Engineering, and can: • Implement ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction using scipy & scikitlearn • Perform ML on Big Data and deploy ML Algorithms and Pipelines on Apache Spark

2024

Certifications

AI Training - Freelancer Global Fleet

AI Training - Freelancer Global Fleet

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