I build practical AI systems that move from research to production. I developed a YOLO-based object detection pipeline for construction-site safety, integrated it into an inspection robot, and enabled real-time visualization of results to improve on-site monitoring.
I design scalable backends and efficient APIs—implemented a Django backend for robot/user management that boosted data retrieval speed by 20% and FastAPI endpoints that reduced latency by 25%. I containerized frontend and backend with Docker, cutting deployment time by 40%.
My research work includes building LLM-driven workflows to convert smartwatch emotional and activity signals into diary-like narratives, and fine-tuning prompts for context-aware generation. I have authored a review on GAN-based face image generation and contributed to interdisciplinary human-centric AI projects.
I deliver measurable results across ML lifecycle: from data preprocessing and model optimization to deployment and user-facing demos. I mentor and volunteer in tech education initiatives and pursue projects in CV, NLP, and model deployment to drive real-world impact.
