Hire Top Freelance Computer Vision Developers

Kafil Ahmed

Senior BI/Data Analytics Consultant, a committed software engineer who seeks to develop elegant solutions to business challenges. My driving force is the passion that pushes me to seek new heights and keep learning the latest ideas, platforms, frameworks, tools, and best practices. I believe in a world of personal and professional growth for all of us and in this spirit, I am always ready to learn and offer to share my expertise as a mentor and a Codementor.

Kazi Sohan

I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.

Abhilash Raj

**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.

Max Epstein

Machine Learning Engineer & Data Scientist. Advanced user of the Python libraries for data processing, predictive models, and visualization. AWS ML Specialty Certified. Passionate about elegant code, automation, and model explainability. And recently (past year), most interested and active in NLP and LLM applications, especially: \* custom document parsing/informatoin extraction, \* neural/hybrid search and \* Retrieval Augmented Generation (RAG) systems (e.g. chatbots informed by neural/hybrid search to reduce hallucination) on custom/private document sets. Highly adept at optimizing speed/performance of python data science workloads via just-in-time compilation strategies (numba, pypy, or even sometimes a rewrite in Julia), or horizontal scaling to distributed compute on cloud infrastructure. Though honestly that step is needed less frequently than most clients seem to expect; usually optimizing for code clarity, safety, and development iteration speed proves more valuable in my experience. Look forward to hearing from you if you have something that I'd find interesting and fun to work on.

vasu gupta

I am an AI engineer with over 5 years of experience in Deep Learning, NLP, and Computer Vision. At Parspec, a Silicon Valley–headquartered construction tech startup, I built and led the AI team, developing advanced models and end-to-end pipelines that achieved high accuracy while optimizing costs. As an independent consultant, I successfully delivered 30+ deep learning and computer vision projects with a 100% job success rate. With a strong foundation from Stanford (M.S. Electrical Engineering), I bring technical expertise, leadership experience, and a commitment to building impactful AI solutions.

Parth Waidya

Built and managed robust and dynamic teams in software engineering, research and development in AI and ML. With a 7-year track record of spearheading technological innovation and driving digital transformation across diverse industries, I demonstrate a unique blend of strategic vision and technical acumen. Adept at aligning technology initiatives with business objectives to foster growth and competitive advantage, I have expertise in leading cross-functional teams, optimizing technology infrastructure, and implementing cutting-edge solutions that enhance operational efficiency and customer satisfaction. Proven ability to manage large-scale projects from ideation to execution, ensuring seamless integration and maximum ROI. Exceptional communicator and leader, committed to cultivating a culture of continuous improvement and excellence.

Iyamu Idahosa

I have a strong background in machine learning, deep learning, and AI, with hands-on experience using transformers and LangChain to build intelligent systems. My work spans across computer vision, NLP, and AI-powered automation, including projects in document processing, instance segmentation, and chatbot development. I’ve also explored applications in real estate analytics, network intrusion detection, and RF energy harvesting optimization. My goal is to become a Blockchain AI Engineer, focusing on backend blockchain development with Golang and integrating LLM-based AI applications into real-world systems. I’m passionate about building scalable AI-driven products, mastering transformers, and competing in ML/AI challenges to push my skills further.

Tolga Varol

I'm currently a full-time startup managing director with main focus in technology, where provide two solutions: 1) driving behavior evaluation based commercial fleet management 2) rolling stock based digitalized railway infrastructure inspection based on our dual edge-AI camera and enterprise cloud platform. I spend most of my time on managing developers or developing myself for the industrial design, AI engine, computer vision application, hardware (10 layer PCB with 3 subsystems), imaging system and camera, cloud application and a custom Linux kernel where I develop some of the basic kernel drivers as well business development and some communications. Last year I had 5 masters thesis students in - AI, embedded systems and cloud - where I was their industrial advisor and indeed that was great fun for me. Now that I lack that opportunity, I joined Codementor to have similar engagements. I hold a double masters in Embedded Systems with Innovation and Entrepreneurship from KTH Royal Institute of Technology and Technische Universität Berlin where I held an excellence scholarship. I'm bilingual in English and Turkish. Also can communicate in German, Spanish and French in a basic level. You can check my Codementor profile here: https://www.codementor.io/@tolgavarol

Rajeev Kumar

Data Scientist having 5 years of experience skilled in Machine Learning , Deep Learning , Statistics , problem-solving and programming . I have deep knowledge of several languages and Library such as Python(Keras , Scikit-Learn, pandas, Numpy etc) . I have worked on Classification , Regression , Deep Learning and CNN projects. Mentoring to the new joiner in my project and taking cross-skilling session after every quarter. During my journey , I successfully combined my studies with work and other commitments showing myself to be self-motivated , organised and capable of working under pressure . I have a clear , logical mind with a practical approach to problem-solving and drive to see things through to completion .

Akila Thalgahagoda

8+ years of experience in Machine Learning R&D with hands-on work ranging from prototyping code in academic publications to integrating solutions into production. Proficient in the entire lifecycle of a Machine Learning project, with a focus on Deep Learning applications in Computer Vision. Additional experience extends to speech, NLP, and tabular data domains. Skilled in writing clean, efficient, and scalable Python code, with a commitment of adhering to good MLOps practices.