Summary
Azmath Moosa is a Principal Data Scientist with a decade of experience building production-grade AI systems, specializing in computer vision, deep learning, generative AI, and embedded platforms. He has repeatedly led 0→1 product development—owning architecture through deployment—and is equally comfortable writing low-level GStreamer/DeepStream plugins as he is orchestrating agentic LLM and RAG workflows. Known for pragmatic model optimization (pruning, quantization, ONNX/TensorRT) and designing dockerized mono-repos, he enables lean teams to iterate fast and ship robust, resource-constrained deployments. His background in embedded Linux and custom SBC images complements large-scale cloud ops, giving him rare end-to-end fluency across hardware and cloud. Beyond leadership, he stays hands-on across Python, C++, and JavaScript and builds reusable internal libraries that codify scalable event-driven AI architectures. Based in Chennai, he blends engineering craftsmanship with a maker’s curiosity—exploring embedded C, hobby electronics, and 3D printing to bridge real-world hardware and software.
10 years of coding experience
8 years of employment as a software developer
Master's Degree Electrical Electronics and Communications Engineering, Master's Degree Electrical Electronics and Communications Engineering at Pondicherry University
Bachelor of Engineering Electronics and Communication Engineering, Bachelor of Engineering Electronics and Communication Engineering at Dhaanish Ahmad College Of Engineering
High School, High School at Cairo American College
English, Hindi, Tamil