My path ran database-first. Before frameworks, before APIs, I was the person designing the schema that everything else would sit on — for live, citizen-facing government infrastructure. That foundation shaped how I think about every layer above it.
From the data layer I moved into Python backend at the same company, then into full-stack freelance: building and shipping complete production platforms end-to-end. The timeline below has the full detail.
- Built and deployed skylinewheels.in — live Bajaj dealership platform with Redis caching (~40% load improvement), VAPID push notifications, WhatsApp Business API, Cloudinary CDN, Jazzmin admin, 8 production security controls, and GitHub Actions CI/CD on Railway
- Built Bajaj Analytics BI Dashboard — Tally → PostgreSQL sync pipeline, Excel expenses import and validation, P&L tracking across 5–10 categories, on-demand PDF/Excel report generation; cut reporting time from 12 hours to under 1 minute
- Developed Mogli Flow Club website for a calisthenics business in Mayur Vihar — member enrollment, Firebase backend, dark athletic design
- Built FlowBoard — real-time Kanban PM tool with Django Channels, Celery Beat, React + Vite, Docker (5 services), GitHub Actions CI/CD, and DSA-backed features
- Exploring OpenAI and Gemini API integrations into Django backends; RAG with pgvector
- Built REST APIs for the e-governance survey platform — serving both mobile and web clients across 5+ municipal corporations
- Deployed production systems on AWS EC2 and integrated S3 for image upload pipelines
- Implemented JWT auth, RBAC across 6 roles, and 20+ secured endpoints with zero privilege escalation in production lifetime
- Reduced report query latency 40% via ORM optimization — select_related, prefetch_related, and indexed query tuning
- Owned API delivery for citizen-facing services: property tax, water billing, and complaint management systems
- Designed and maintained SQL databases for state government property tax and survey infrastructure
- Built a multi-city tax calculation system handling 10+ cities with varying tax rate configurations — all computed inside the database layer
- Managed database backups, disaster recovery procedures, and migrations across 3+ state government data centers
- Designed the backend database schema for the survey application — relationships, normalization, and indexes built to support the API layer that followed
- Operated on production data that underpinned citizen-facing government services — zero data loss across tenure
These aren't just values — they're the principles that show up in every pull request, every API design decision, and every client call.