Python Developer and Data Automation Engineer with around 4 years of experience in automation, focusing on ETL pipeline development using Python. Skilled in FastAPI, Pandas, SQL 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, 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.
Developed an IOT system with Raspberry-pi implementing python oops concept to control I/O bound operations with threading and multiprocessing for CPU bound tasks, that integrates with PLC to automate PLC control systems and data collections and send over the data to API to showcase in the dashboard. The system was configured with cronjob to auto trigger the application on restart. It can handle multiple exceptions and act accordingly.