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I'm a highly experienced, proficient and resourceful (embedded) software and electronics engineer with full cycle product development experience, from initial PCB design with component selection to embedded software programming. I have nearly thirty years of programming experience for the Windows PC in Assembler, C, and C++ using Visual Studio and nearly twenty years of programming experience for embedded micro-controllers (MCUs) using dedicated development platforms such as Atmel Studio, Qt Creator, Keil Development Tools and IAR Embedded Workbench. I have worked with many different controllers from TI, Atmel, Microchip, Cypress and with many different architectures (8-bit, 16-bit, 32-bit, RISC etc).
Senior Machine Learning Engineer with 10+ years of experience building and deploying scalable AI systems across computer vision, NLP, generative AI, and MLOps. I've led end-to-end ML projects from real-time edge inference to LLM-powered applications, with a focus on performance, reliability, and impact. My work spans startups and enterprises, including Mashgin, Gensyn, Voyage, and Amazon. Skilled in Python, Go, Kubernetes, TensorRT, DeepSpeed, and cloud infrastructure, I specialize in shipping production-grade AI that solves real-world problems.
I am an interdisciplinary researcher with over 15 years of experience in biomedical informatics, AI, and health data science. My work spans machine learning, natural language processing, and multi-omics integration for clinical and translational research. I have led international teams, published extensively in peer-reviewed journals, and served as an associate editor in top scientific publications. I specialize in developing scalable, data-driven solutions for complex biomedical challenges.
I’m an AI/ML Consultant with 10+ years of experience delivering end-to-end machine learning solutions across sectors like pharma, energy, insurance, and manufacturing. I specialize in building scalable AI systems including GenAI, computer vision, and edge AI using tools like PyTorch, TensorFlow, Azure, and AWS. As Founder of MLGlow, I’ve led diverse AI projects from R&D to production, helping clients solve real-world problems with cutting-edge technologies. I thrive in fast-paced, collaborative environments focused on innovation and impact.
Experienced XR developer and engineering lead with a strong background in building immersive, cross-platform applications using Unity and C#. Proven track record delivering real-time 3D experiences, spatial computing solutions, and point cloud-based systems. Adept at leading multidisciplinary teams, rapidly prototyping and refining production-ready features, and bridging technical and non-technical stakeholders. Passionate about creating intuitive, high-impact XR solutions that blend innovation with usability.
I'm a seasoned software engineer with 5+ years of experience developing data-driven applications and machine learning systems. My background spans both research and production environments, where I've designed and implemented solutions for natural language processing, recommendation systems, and data analysis pipelines. I excel at translating complex requirements into elegant solutions, optimizing performance, and ensuring production reliability. My experience includes working with Python, TensorFlow, PyTorch, and deploying models at scale using cloud services. I'm particularly skilled at fine-tuning models for specific domains and building robust data processing pipelines.
I am a master's student in Computer Science at University Malaysia Pahang, specializing in AI/ML with a focus on computer vision and natural language processing. I have 5 years of experience developing innovative solutions in these areas. I am passionate about research, building real-world AI applications, and continuously learning new technologies. I thrive in collaborative environments that value creativity, growth, and impactful work.
I'm a Data Scientist and ML Engineer with over 5 years of experience, mostly in the financial domain. I’ve worked on everything from building predictive models and NLP pipelines to scaling ML systems and deploying solutions in production. I hold a BTech in Computer Science and an MSc in AI from USC. I'm skilled in Python, SQL, cloud platforms (AWS, Azure, Databricks), and have hands-on experience with LLMs, generative AI, and deep learning. I enjoy solving tough problems, collaborating with diverse teams, and driving real business impact through data.
To be one of the best engineers in the field I'm interested in; to provide people with ecological solutions through original projects; and to contribute to the economy of my country through the defence industry and the energy sector. Also, to implement the projects and develop new technologies that I have noticed throughout my life.
Data Analyst/Data Scientist with hands-on experience in data preprocessing, visualization, and machine learning. Skilled in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, and Seaborn. Experienced in regression, classification, clustering, recommendation systems, and deep learning. Applied data science across domains including healthcare, fraud detection, and mobile apps. Strong analytical skills, scientific approach, and a background in chemical engineering.
At Techamana, we maintain the highest standards in developer selection. Our Computer Vision experts undergo a comprehensive 4-step vetting process that evaluates technical skills, problem-solving abilities, communication skills, and team and culture fit. Only the top 5% of applicants pass our rigorous screening, ensuring you work with exceptional talent who can deliver outstanding results for your projects.
Rigorous coding challenges and problem-solving tests to evaluate Computer Vision proficiency and best practices.
Thorough examination of past projects and contributions to open-source Computer Vision repositories to assess real- world experience.
Video responses for open-ended questions to assess problem-solving ability, communication skills, and team and culture fitment.
When hiring a Computer Vision engineer, seek OpenCV and deep learning framework experience (TensorFlow/Pytorch).
Candidates should implement detection (YOLO, Mask R-CNN), segmentation, tracking, optimize inference for edge/cloud, and handle camera calibration.
Industry insights and best practices
Computer vision enables computers to 'see' and interpret images and videos. Modern computer vision utilizes deep learning for advanced tasks like object recognition and image segmentation.
Computer vision is used to detect objects in images and videos.
Computer vision is used to classify images into different categories.
Computer vision is used to segment images into different regions.
Computer vision is used for facial recognition tasks, such as identifying individuals in images and videos.
Majority of our clients choose to continue working with our talent after their initial project
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