Resume

Avnish Kumar

New Delhi, India +91 9650409384 kavnish1245@gmail.com
Summary

Results-driven Software Engineer with experience building scalable full-stack applications and RESTful APIs. Proven expertise in JavaScript, TypeScript, and modern frameworks (React, Next.js, Express.js). Successfully delivered production-grade applications for government agencies, improving operational efficiency by 40%. Recognised through national hackathon wins and finalist positions. Skilled in cloud deployment (AWS, Vercel), security (JWT, OAuth, RBAC), and Agile development.

Experience

Full-Stack Developer (Freelance)

OttiCamart.com

September 2025 – Present
  • Built a production-grade full-stack e-commerce platform (Next.js, Express.js, Prisma, PostgreSQL, Redis).
  • Developed 12+ RESTful APIs (auth, product, cart, order, payment, search) and implemented robust security (JWT, refresh tokens, secure cookies), reducing vulnerabilities by 95%.
  • Integrated secure Razorpay payment gateway; optimised performance with Redis caching, cutting database queries by 60%, and improving page load by 45%.
  • Created responsive UIs and RBAC admin dashboard (React, Next.js, Zustand); deployed on AWS ECS/Supabase.

Software Developer Intern

Government of India

June 2025 – September 2025
  • Developed a custom ReactJS-based ENC Viewer for real-time maritime geospatial data visualisation.
  • Engineered 7+ GIS analysis tools, optimising algorithms to boost government analysts' spatial operation efficiency by 40%.
  • Accelerated complex spatial analysis (buffering, intersection, distance) using high-performance geospatial modules built with Turf.js.
  • Collaborated in a 10+ member Agile team on sprint planning, code reviews, and documentation.
  • Achieved 85% code coverage through comprehensive unit/integration testing (Jest, React Testing Library).
Projects

Secure Multi-LLM SaaS Platform

Next.js · Express.js · FastAPI · MongoDB Atlas · FAISS · Auth0 · Gemini API · Langchain · spaCy

  • Developed a secure, multi-tenant SaaS platform integrating multiple LLMs using FastAPI and spaCy for data sanitisation.
  • Implemented FAISS-based vector retrieval for semantic search, boosting query accuracy by 35%.
  • Integrated Google Gemini API and Auth0 for primary LLM and secure role-based access control (RBAC).
  • Created a real-time Next.js/Zustand chat interface optimised for microservices, supporting concurrent users.
Skills

Languages

Java, JavaScript, TypeScript, Golang, Python, SQL

Frontend

React.js, Next.js, HTML5, CSS3, Tailwind CSS, Zustand, TanStack Query

Backend

Node.js, Express.js, FastAPI, RESTful APIs, Microservices, WebSockets, GraphQL

Databases

PostgreSQL, MongoDB, Redis, Prisma ORM, VectorDB (FAISS)

Cloud & DevOps

AWS (EC2, ECS, S3, Lambda), Docker, Git, CI/CD, Vercel, Supabase, Linux

Security & Practices

JWT, OAuth 2.0, RBAC, Auth0, TDD, API Design, Code Review

Achievements
  • SIH 2024 Finalist — Top 5 of 500+ teams for an innovative software solution
  • HackCBS 8.0 Winner (MLH) — First place among 500+ participants
  • Ranked Top 5 in national hackathons, showing excellence in rapid development
  • Developed production-grade GIS applications used by government analysts for critical spatial analysis
Education

Guru Gobind Singh Indraprastha University

B.Tech, Artificial Intelligence and Data Science

November 2022 – May 2026

CGPA: 7.62/10.0