Projects

Over the past seven years, I've worked across enterprise AI, data platforms, computer vision, deep learning and Generative AI. Below are a few projects that best represent my experience and interests.

Enterprise AI Ops Agent Platform

Designed and developed a unified Agentic AI and RAG-powered operations platform for enterprise data workflows. The solution combines controlled tool calling, live monitoring data, operational runbooks, and enterprise knowledge to provide grounded troubleshooting, failure analysis, error-budget insights, and operational guidance.

Key Technologies: Python, FastAPI, LangGraph, LLMs, RAG, Grafana, PostgreSQL

Intelligent Data Operations Platform

Built and enhanced enterprise-scale data processing systems supporting large-volume sales and inventory workflows. Integrated Generative AI capabilities for automated reporting, operational insights, real-time error analysis, and developer assistance, helping simplify complex ETL operations.

Key Technologies: Python, FastAPI, ETL, Generative AI, PostgreSQL, Azure

Medical Imaging AI for Disease Detection

Developed deep learning solutions for automated analysis of lung CT scans, supporting computer-aided diagnosis workflows. The platform was initially developed for lung cancer detection and later extended to support COVID-19 diagnosis, demonstrating adaptability across healthcare use cases.

Key Technologies: TensorFlow, OpenCV, Medical Imaging

AI Performance Engineering & Model Optimization

Designed AI pipelines covering training, optimization, benchmarking, and deployment across cloud and edge environments. Leveraged model compression, quantization, ONNX Runtime, and OpenVINO to improve inference performance and enable efficient deployment on resource-constrained hardware.

Key Technologies: ONNX Runtime, OpenVINO, Hugging Face, AWS SageMaker, Azure ML