Python Developer and Data Automation Engineer with around 5 years of experience in backend development, focusing on ETL pipeline development using PySpark, building RESTful APIs for enterprise environments. Skilled in Python, FastAPI, Pandas, SQL/NoSQL databases, and effective application monitoring. Proven ability to collaborate across teams to enhance operational effectiveness and provide impactful data analytics and insights.
ANPR - Engineered a car number plate recognition system collaborating with a teammate, using YOLOv8, OpenCV, EasyOCR, HuggingFace and Kaggle for text extraction in challenging environment. Focused on Model training, Pipeline optimization, Deployment, Data handling and monitoring using Azure MLOps workstation.
Designed and productionized a retail demand forecasting pipeline with versioned model artifacts and reproducible training; exposed the model as a FastAPI microservice, containerized it with Docker, and deployed it to Azure Container Apps on Linux using Azure Container Registry; implemented end‑to‑end MLOps practices with GitHub Actions CI/ CD to run tests, build and push images, automatically deploy updates on main‑branch merges, and support ongoing operations via prediction logging, validation metrics tracking, and an on‑demand retraining workflow.