I build software that has to feel polished on the surface and stay dependable under load.
My background spans backend systems, full-stack product work, cloud infrastructure, and ML-powered tooling. At Jio Platforms, I helped build internal platforms serving 400,000+ employees and services handling 50,000+ requests per day. At Northeastern, I’m sharpening that depth through graduate systems work, cloud-focused engineering, and hands-on projects.
| Metric | Story |
|---|---|
400,000+ |
employees reached through enterprise platforms |
50,000+ / day |
requests handled by production services |
40% |
manual processing reduced through automation |
100+ |
code reviews focused on performance, quality, and maintainability |
| Project | Why it matters | Stack |
|---|---|---|
| Resolution-Pulse | AI life coach that combines bio-aware planning, goal tracking, and LLM-powered nudges into a daily execution system. | Next.js TypeScript Claude API |
| vikas-portfolio | Interactive Windows XP-inspired portfolio that turns a personal site into a product experience instead of a generic landing page. | Next.js 15 Tailwind CSS Radix UI |
| kambaz-next-js1 | Canvas-style LMS frontend with dashboards, modules, assignments, quizzes, grades, and account flows. | Next.js React TypeScript Bootstrap |
| kambaz-node-server-app | Express backend for the Kambaz LMS with structured route modules for users, courses, modules, assignments, and enrollments. | Node.js Express REST API |
| mlops-lab6-fastapi-wine-api | FastAPI-based ML service with reproducible training, model metadata endpoints, and automated API validation. | Python FastAPI scikit-learn |
Languages
Java Python C/C++ JavaScript TypeScript SQL Bash
Frameworks
React Next.js Node.js Express Spring Boot Flask Django
Cloud / DevOps
AWS Docker Kubernetes GitHub Actions Jenkins CloudWatch CI/CD
Data / Storage
MySQL PostgreSQL MongoDB Redis Pandas NumPy scikit-learn
- Distributed systems and backend engineering
- Platform engineering and cloud architecture
- ML tooling and AI-assisted product workflows
- Shipping work that is clean, intentional, and production-minded
If you are building in backend, cloud, full-stack product engineering, or applied AI tooling, I’m always happy to connect.

