Lean AI Engineer - LLMs & Agents

LLMs & AI Agents Designed and deployed production-grade LLM agents (NL2SQL, RAG-based assistants) over large-scale financial and medical datasets, enabling natural-language analytics and decision support

Recommendation Systems Built personalized recommendation pipelines for educational content using user signals, difficulty constraints, and model-driven segmentation to improve learning outcomes

Computer Vision Built multi-task deep learning systems for eye tracking, driver monitoring, object detection, video classification, and human body segmentation in automotive and conferencing domains

Deep Learning Research Developed custom neural architectures including attention mechanisms, temporal models, and self-supervised learning components to improve robustness and feature representation

Production ML & Deployment Optimized inference pipelines using ONNX and model quantization; deployed scalable ML services using AWS (SageMaker, ECS, Lambda), Docker, and CI workflows