AI and ML Engineer

I am an AI/ML Engineer with a strong focus on Computer Vision, Deep Learning, Edge AI, and production machine learning systems, with 3+ years of hands-on experience developing and deploying AI solutions for real-world industrial applications.

My experience has involved taking AI projects from requirements and data preparation through model development, optimization, software integration, deployment, and production support. In my current role, I lead the deployment of an AI-driven Machine Vision Inspection System for railway infrastructure that processes 10,000+ images per day. I work extensively with YOLO, CNNs, OCR, PyTorch, TensorFlow, OpenCV, CUDA, NVIDIA DeepStream, and GStreamer, with reported results including 98% OCR precision and 95%+ validation accuracy across inspection models.

I have also developed real-time edge-AI video analytics on NVIDIA Jetson Nano, working on object detection, age/gender classification, video processing, inference optimization, and database integration. This experience has given me practical exposure to building AI systems that need to operate under real-world constraints such as latency, computational resources, reliability, and continuous production monitoring.

Beyond model development, I have experience across the broader ML engineering lifecycle, including Python development, data and model preparation, GPU inference optimization, REST APIs, SQL/NoSQL databases, Docker, Git, Linux, CI/CD fundamentals, testing, logging, monitoring, and deployment troubleshooting. I have also worked with NLP and Generative AI technologies, including LLMs, RAG, LangChain, embeddings, prompt engineering, and OpenAI APIs.

What I bring is not only knowledge of AI/ML algorithms, but also the ability to translate business and field requirements into working AI systems and take those systems toward production. I enjoy solving challenging problems involving computer vision, automation, real-time inference, and intelligent systems, while collaborating with software, hardware, and cross-functional teams.

I am looking for an opportunity where I can apply and further develop my expertise in AI/ML engineering, computer vision, edge AI, and intelligent automation, while contributing to meaningful and technically challenging products.

I believe my combination of hands-on AI development, production deployment experience, computer vision expertise, and end-to-end engineering ownership would allow me to make a strong contribution to the team.