I’m a data and machine learning engineer specializing in computer vision, data infrastructure, and MLOps. I build and deploy platform‑agnostic AI, computer vision, and data‑driven microservices for cloud, edge, and on‑premises environments. My work centers on Docker‑based, event‑driven pipelines using AWS ECS, Fargate, SNS, and SQS for data ingestion, model training, and inferencing.

My machine learning experience includes turning R&D concepts into scalable, production‑ready systems and training and fine‑tuning computer vision and multimodal models. Current projects revolve around image quality enhancement, automated data pipelines, and integrating detection, pose, and vision‑language models to improve accuracy and robustness

My core languages are Python and TypeScript, with R and SQL for analysis, and C/C++ for embedded and sensor‑driven systems.

• 👯 Open to collaborating on open‑source data, machine learning, and embedded projects.

• 📫 Connect on LinkedIn to discuss full‑time, contract, or research collaborations.