AI & Computer Vision Experts for Confidential Project

@Mahihassi

With a solid background in AI-enabled edge systems and a keen understanding of computer vision, my expertise aligns seamlessly with your project's requirements. My firm grasp on Python, substantial experience in object detection/visual recognition, and ML model training/tuning will enable me to navigate the complexities that often accompany real-world data to deliver pinpointed, pragmatic outcomes. Moreover, my proficiency in applying machine learning and deep learning algorithms to edge devices for control and data analysis is an asset that can be utilized effectively in this venture. By leveraging my skills for optimized embedded coding and drivers, I can streamline your process for latency, stability, and resource constraint considerations. These capabilities paired with my command over Linux environment, Python, C++, and camera/video pipelines make me an advantageous fit for the role of an Edge/Embedded AI Engineer on your team. In addition to relevant technical expertise, I possess strong practical execution experience that your project emphasizes. I've built numerous successful IoT products from concept to market-ready state- just the kind of hands-on experience needed fora real production deployment like yours. My commitment towards confidentiality is unwavering. I am more than comfortable with NDA signings ensuring sound IP protection throughout our engagement. Let's talk further about how we can translate your vision into an exceptional intelligent System!

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@quan9824

https://www.freelancer.com/projects/raspberry-pi/Powered-Monitoring-Prototype-Development/reviews ## EXPERT ##(Python and Computer Vision, Edge device) Hello, How are you? I’ve completed several computer vision projects before successfully. Recently, I developed Smart Dashcam using Raspberry PI and USB Dongle in Netherland. You can check this in my portfolio. 1. Computer Vision / Machine Learning Engineer 2. Edge / Embedded AI Engineer I am available more 40hrs/week. Awarding me will be the fastest way to complete your task with the best rates possible. THANK YOU.

@edulov

Good day, I would like to make a short statement regarding my proposal. My background and experience have been in the development and optimization of complex algorithms and pipelines. Therefore, my focus is on quality and efficiency. If a cloud platform is not compatible with my requirements or is too restrictive, it would not be a suitable fit for my work. If your platform has strict platform-specific limitations, please disregard my proposal. Additionally, despite your deposit, this project requires immediate attention and therefore, an advance payment of 20% is necessary. Unfortunately, I have had negative experiences with clients from certain countries. If this is not acceptable to you, please do not consider my proposal. Thank you for your understanding. Best regards,

@Ussama91

I can handle computer vision, machine learning, edge AI, and backend development, with experience in Python, JavaScript, and cloud platforms, available for immediate start, with a strong focus on delivery and execution, I can work full-time remotely. Waiting for your response in chat! Best Regards.

@MQamar123

With over 7 years in software development and a wide-ranging skillset that includes Python, I believe I'm the ideal candidate for your Computer Vision/Machine Learning Engineer role. My practical experience in object detection and visual recognition combined with my ability to train ML models using real-world data makes me well-suited for your project's production deployment needs. Moreover, I possess strong Python skills and am comfortable working with noisy datasets – perfect for a hands-on project like this. Skills: AWS DynamoDB, Cloud Computing Pitch: As you seek an embedded/AI engineer with a focus on latency and resource constraints, my existing knowledge of AWS DynamoDB and Cloud Computing could be particularly beneficial. Coupled with my experience in deploying AI models on edge systems and working with camera/video pipelines – this makes me an optimal fit for your project's requirements. In addition to offering solution-oriented servces like designing simple reliable backend systems or developing API- a detailed understanding of cloud storage for images and metadata further strengthen my candidature for the Backend/Cloud Engineer position you have available as well! To summarize, my deep understanding of AI technology coupled with my broad language proficiencies adaptability make me an ideal fit for any these roles . I look forward to the possibility of a long-term engagement and can't wait to discuss the project details under NDA.

@chiragardeshna

Hi there, I am a strong fit for this scope because I have shipped computer vision and edge AI systems that run reliably in real production environments under tight constraints. I have hands-on experience training and tuning vision models on noisy real-world data, deploying them to edge devices, and supporting backend pipelines for image and metadata handling. I work primarily in Python with OpenCV, PyTorch or TensorFlow, Linux-based camera pipelines, and cloud APIs on AWS or GCP, with attention to latency and stability. I reduce risk by designing for observability, validating models against field data early, and keeping interfaces clean so vision, edge, and backend components stay decoupled. I am available to start immediately, can commit full-time if needed, and am comfortable proceeding under NDA from the first discussion. Regards Chirag

@Web1devloper

Having worked in the tech industry for over 8 years, I have gained valuable proficiency and execution experience making me well-suited for your company's computer vision and edge AI project. My specialized skills include API development, Data Mining, and most notably, Machine Learning (ML) using Python; all of which are integral to your project requirements. Notably, I am comfortable dealing with noisy data and have a deep understanding of object detection/visual recognition. Moreover, I possess the practical experience of working on systems deployed outside the lab; a necessity pointed out in your project description. My time-honed utilization of AWS (EC2, Amplify, S3, Route53, RDS) coupled with my familiarity with Linux makes me uniquely skilled for the task. Alongside my technological capabilities, I value confidentiality and Intellectual Property greatly - qualities crucial to this confidential project. Finally, I'm experienced in maintaining simple yet efficient backend systems which includes cloud storage-a key requirement for your project. My past work includes projects of varying scales- from startup projects to those at enterprise scale giving me the capacity to handle projects of any magnitude skillfully. With a mindset that values practical execution over mere words, I believe I can contribute greatly to your project and hopefully establish a longer-term engagement with your esteemed company.

@hassideeha

Hi I am good in Embedded AI or EdgeAI. I have worked extensively on different SOCs like TI, Qualcomm and Nvidia. I am good fit for Embedded AI or EdgeAI role. Please consider me.

@amaank66

Hello, I’d love to be considered for this confidential, production-grade Edge AI / Computer Vision engagement. I have hands-on experience building real-world CV systems that run outside the lab—focused on reliability, latency, and noisy field data. Relevant experience includes: • Object detection + recognition pipelines (YOLO/Detectron-style workflows) • Training, fine-tuning, and evaluation on imperfect datasets • Edge deployment with model optimization (quantization, TensorRT/TFLite) • Camera/video stream handling and Linux-based inference stability • Supporting backend APIs for image/metadata storage and secure workflows I’m comfortable working under strict NDA/IP constraints with milestone-based delivery and clean documentation. Role fit: Computer Vision / ML Engineer + Edge Inference Support Availability: Full-time (immediate start) If shortlisted, I can share comparable production deployments and approach once NDA is in place. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@robertw0802

Hi there, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, specializing in AI and computer vision technologies. I have hands-on experience in developing and deploying AI models on edge systems, having built scalable solutions that optimize resource constraints and ensure performance in production environments. My deep technical background in full-stack development and machine learning aligns with the demands of your enterprise-grade project. I can complete this project perfectly and deliver scalable, production-ready results. I am also committed to clean architecture, structured documentation, CI/CD automation, and OWASP-based security practices. All AI models and pipelines I work on adhere to strict data-privacy standards and performance validation metrics. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. Could you provide more details on the specific technologies and tools to be used in the project? Thanks,

@murtuza90

Hello, I’m interested in this confidential, production-grade AI / computer vision project and am fully comfortable signing an NDA before any technical discussion. Brief intro I’m a hands-on engineer with experience building and deploying real-world computer vision systems that run reliably outside the lab, with a strong focus on performance, stability, and clean execution. Relevant experience • Object detection and visual recognition using Python (YOLO-based and custom pipelines) • Training and tuning models on noisy, real-world datasets • Designing low-latency inference pipelines with stability and monitoring in mind • Working with camera and video processing pipelines end to end • Exposure to edge / embedded AI and resource-constrained environments • Basic backend support for image storage, metadata, and APIs Role fit Best suited for: Computer Vision / Machine Learning Engineer Comfortable collaborating closely with edge and backend engineers. Work approach • Production-first mindset • Clear documentation and reproducible workflows • Strong focus on robustness, error handling, and long-term maintainability • Strict respect for confidentiality and IP protection Availability • Immediate start • Full-time availability (40+ hours/week), remote I value practical execution over theory and have worked on systems deployed in real operational environments. Happy to share further details after shortlisting and NDA signing. Regards, Murtuza

@mo7e76533lion

Hi Team, I am applying for the Edge / Embedded AI Engineer role. I am a Mechatronics Engineer with 3+ years of experience building and deploying production-grade computer vision systems that run on the edge, not just in notebooks. Relevant Hands-on Experience: Edge AI Deployment: Architected a Driver Monitoring System deployed on constrained hardware. I optimized CNN models for low-latency inference using TensorRT and C++/Python bindings to ensure real-time performance. Handling Noisy Data: Developed a Hygiene Violation Detection System (YOLOv12 + DeepSORT) for commercial kitchens. This required tuning models to handle occlusion, poor lighting, and "noisy" real-world environments. Hardware Integration: Extensive experience with Linux environments, Docker containerization on edge devices (Jetson/RPi), and integrating camera pipelines with backend logic. I am ready to sign the NDA and discuss how I can help ship your enterprise solution. Best regards

@mahads31

As an accomplished Chief Executive Officer, I have proficiently led my team at Prime Code Tech to deliver intelligent and scalable digital solutions, which aligns seamlessly with your enterprise project's goals. My experience in strategic product development encompasses computer vision, machine learning, and robotics, areas vital for this venture. Our innovative approach to building modern technologies combined with extensive Python skills makes us highly suitable for training and tuning machine learning models effectively on real-world data. Furthermore, our understanding of edge systems and their resource constraints is showcased through our work in the deployment of AI models on edge or embedded systems. This acumen combined with our proficiency in Linux environment familiarity positions us as valuable assets for your edge/embedded AI engineering role. My track record of building systems that actually run outside the lab resonates with your project's need which further adds weightage to my candidacy. As a committed technology partner, I am eager to leverage my strategic thinking and efficient execution abilities to ensure your projects are executed flawlessly to drive measurable business value.

@aruns423

As an experienced Full-Stack Developer and UI Designer, my work ethos aligns perfectly with what you require for your enterprise-grade computer vision and edge AI project. I am well-versed in AI/ML technologies and have hands-on experience with object detection and visual recognition. My strong Python skills make me perfectly capable of training and fine-tuning ML models on real-world data, even in imperfect datasets as you specified. In fact, I've built and deployed systems that are currently functional outside the lab environment, which makes me a natural fit for your project's non-research focus. One of my specializations is in backend development, including building simple, reliable backend systems for cloud storage and API development. My familiarity with AWS, GCP, and Azure will ensure seamless integration into your existing infrastructure. I understand that confidentiality will be a crucial aspect of this project, and my commitment to strong IP protection means you can trust your project details and code with me. Last but not least, I value practical execution experience over fancy titles or long resumes—just like you. Let's bring our visions together to breathe life into your confidential enterprise project while maintaining end-to-end confidentiality as mandated by the NDA process. With me, you're getting not just a skilled professional but also an invested partner who wants nothing less than exceptional performance from every aspect of your system.

@jonhw5

Hello, thanks for posting this project. I've read the explanation of your project carefully and thought it's a great fit for me. Because: I'm a full stack engineer with robust experience designing and deploying production-ready AI systems, including computer vision and edge inference, as well as developing secure cloud backends and APIs. My experience includes hands-on object detection and training ML models with real-world, imperfect data, and implementing solutions on edge devices with tight performance requirements using Python and C++. I'm highly comfortable with end-to-end pipelines, from data ingestion to deployment, and have engineered reliable cloud services for image storage and metadata management on AWS and GCP. I've successfully shipped projects in fast-paced, high-stakes environments with strict confidentiality, always prioritizing IP protection, code integrity, and long-term maintainability. I am open to a full-time commitment and can start immediately. Which deployment platforms or hardware targets are prioritized for the edge AI components? Looking forward to hearing from you. Warm regards, Vitalii.

@InWebTechno

Hi Sreeharsha P., I have read the details and I am confident I can do this work. I am an expert with 10+ years of experience in Python, API Development. View my profile to see work and reviews. Please connect in chat so we can discuss. Talk soon, Inweb Technologies

@KrishnaKrGaur16

Hello, I’m an engineer with hands-on experience in computer vision, machine learning, and edge-based AI systems, focused on building solutions that work reliably in real-world deployments—not just demos. I have practical experience with object detection, model training and tuning on noisy datasets, and Python-based ML pipelines. I’m comfortable iterating on imperfect data, optimizing models for performance, and ensuring stability in production environments. I’ve also worked with camera/video data pipelines and Linux-based systems, with exposure to edge inference and hardware-aware optimization. I value clean execution, confidentiality, and IP protection, and I’m fully comfortable working under NDA on enterprise-grade projects. I focus on delivering clearly defined milestones, reliable code, and production-ready systems. Role applied for: Computer Vision / Machine Learning Engineer (open to Edge AI collaboration if needed) Availability: Full-time (30+ hours/week), immediate start Work mode: Remote (India) I’d be happy to discuss how I can contribute once shortlisted and after NDA signing. Looking forward to collaborating. — Krishna Kumar Gaur

@danishkhan51572

Hello, I am an experienced AI and Computer Vision engineer with hands-on experience in object detection, visual recognition, and deploying ML models on real-world data. I have worked extensively with Python and handled noisy, imperfect datasets to deliver production-ready solutions. I am comfortable working in Linux environments and have experience with edge AI deployment, optimizing models for latency and resource constraints. I am available full-time and can start immediately. I am keen to work on this enterprise-grade project under NDA and contribute effectively to building robust, field-deployed AI systems. I can provide practical execution experience rather than just theoretical knowledge. Looking forward to the opportunity to collaborate and deliver high-quality results.