Data Engineering & Scientific Computing

I am a Software Engineer with 6+ years of experience. This page focuses on the things I enjoy Data Engineering, High Performance Computing (HPC) and Machine Learning Infrastructure.

This repository serves as a technical appendix to my CV. It demonstrates my ability to build scalable ingestion pipelines, optimize compute-heavy tasks, and architect reliable distributed systems.

Python (Pandas, Numpy, Scipy, FastAPI), C++ (Boost), Go, Rust

Apache Kafka, RabbitMQ, PostgreSQL, Redis

Kubernetes, Docker, Terraform, GitHub, GitHub Actions (CI/CD)

Here are some current passion projects on my github.

An asynchronous microservice to create synthetic training data for Computer Vision Models.

• FastAPI to write the API and Pydantic/SQLModel to provide strict data validation. PyData Stack for image manipulation.
• Docker for containerization
• Docker volumes and PostgreSQL for data storage
• Fully automated test suite including unit, integration and end-to-end tests

Automated quality assurance workflows for different technologies.

• 100% shell scripting for Git

I am currently open to discussing roles in Data Engineering and ML Ops.

Please refer to contact details provided in my CV.