Paul Ngouchet is an AI software engineer and IBM GEM Fellow with 10 years of experience building production-grade ML systems, from LLM-powered search and RAG pipelines to quantized generative models optimized for low-RAM GPUs. He founded BytePal AI and holds an MS in Artificial Intelligence from Johns Hopkins, combining entrepreneurial curiosity with deep hands-on expertise in model fine-tuning (LoRA), PyTorch, LangChain, and deployment stacks like FastAPI, Ray Serve, Docker and Kubernetes. At IBM and Oracle he delivered practical solutions—LLM copilot generators, medical imaging classifiers with high F1 scores, and data pipelines that turn Excel into ElasticSearch-backed queryable knowledge—prioritizing cost-efficient performance on GPUs like NVIDIA L4. Known for squeezing large models into constrained hardware and engineering smooth user experiences (token streaming, Gradio UIs), he bridges research-level model work and scalable cloud deployment. Based in San Jose, he brings a pragmatic focus on customer value: accelerate inference, reduce cloud spend, and make advanced AI tooling accessible to developers.
10 years of coding experience
5 years of employment as a software developer
Johns Hopkins University
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at UMass Boston
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Boston University
Smart Wheelchair - Lead programmer / software architect who helped design with a team the software architecture of a smart wheelchair equipped with a robotic arm that can open doors and operate elevators.
Contributions:1 PR, 7 pushes, 1 branch in 2 years 11 months
Contributions:8 pushes, 1 branch in 6 years 6 months
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