Mandip Rai

Senior software engineer — full-stack, systems, and applied computer vision.

I’m a Senior Software Engineer specializing in Python backend development, scalable web applications, REST APIs, and production-ready software systems. My primary experience includes Python, Django, Django REST Framework, FastAPI, Flask, PostgreSQL, Redis, Celery, Docker, and cloud-based services.

I build reliable backend architectures, high-performance APIs, database-driven applications, automation services, and full-stack systems, with a strong focus on clean architecture, maintainability, security, testing, and performance.

I also have experience integrating computer vision, AI/ML, geospatial processing, and data-intensive workloads into Python-based applications and backend services.

• Web & APIs — Python services (Django, FastAPI, Flask, REST APIs), TypeScript / JavaScript UIs, CSS layout and styling
• Computer vision — imaging pipelines, notebooks (cv-helper, nasal-endoscope, and similar)
• Robotics & SLAM — C++ projects such as slam, sp-slam
• Geospatial — Python tooling (e.g. geo-solver)
• Product-style apps — full-stack sets such as child-care + child-care-backend

Stat cards below are SVG files generated in this repo by .github/workflows/update-readme-cards.yml — they use the same renderer as the popular readme stats project, but run on GitHub Actions with your token so they do not rely on the public Vercel instance (which is often unavailable).

_{Cards refresh on push to main, daily (03:00 UTC), and via Actions → Update README cards → Run workflow. Optional: add a repo secret STATS_PAT (classic PAT with read:user) if you need higher API limits than GITHUB_TOKEN.}