Actively Open to Work | AI/ML + Full-Stack

Building production-ready AI and web products with measurable outcomes.

Fresher Computer Science graduate with hands-on delivery experience in Python, TypeScript, FastAPI, React, and PostgreSQL.

  • 4 end-to-end projects shipped
  • CI/CD and automated testing
  • B.Tech CSE, SRM IST, CGPA 8.13 / 10

100+

Documents handled in NestAi

40%

Accuracy improvement in NestAi

78%

Backend test coverage in FridgeChef

100%

Settlement test accuracy in Splitly

Work recruiters can review quickly

NestAi

Privacy-first document search and Q&A platform.

Python | FastAPI | PostgreSQL | Ollama | HTMX | Tailwind CSS

  • Hybrid BM25 + vector retrieval across 100+ documents
  • ~40% response accuracy improvement with cite-or-abstain validation

FridgeChef

Intelligent kitchen platform with multimodal ingredient workflows.

Next.js 14 | React Query | Zustand | FastAPI | SQLAlchemy 2.0 | PostgreSQL | Google Gemini API

  • Production deployment with 78% backend test coverage
  • Rate limiting, request logging, and stronger runtime reliability

Splitly

Expense-sharing platform with reliable settlement logic.

TypeScript | Next.js | Express.js | Prisma | PostgreSQL | GitHub Actions

  • 4 split modes and complete transaction-history preservation
  • 100% settlement algorithm accuracy in automated unit tests

Capability areas for AI and full-stack delivery

AI / ML

  • RAG pipelines
  • LLMs and prompt engineering
  • NLP and computer vision
  • Vector search

Backend

  • Python, FastAPI, REST API design
  • PostgreSQL and MongoDB
  • SQLAlchemy and Prisma
  • SSR and system design patterns

Frontend

  • TypeScript, React, Next.js
  • Tailwind CSS and HTMX
  • React Query (TanStack)
  • Zustand state management

Quality and Delivery

  • CI/CD pipelines
  • Automated testing workflows
  • Dockerized development
  • GitHub Actions automation

SRM Institute of Science and Technology

Bachelor of Technology in Computer Science

Aug 2021 - Jun 2025

CGPA: 8.13 / 10

  • AWS Academy Machine Learning Foundations - Amazon Web Services
  • Supervised Machine Learning: Regression and Classification - Coursera (Stanford University)
  • Networking Basics - Cisco Networking Academy
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