Available for opportunities

Hi, I'm Vamsi Krishna
Full Stack Developer.

I build scalable, production-ready web and mobile applications using React, React Native, Python, FastAPI, and cloud-native tools. Passionate about AI-powered systems, clean APIs, and developer experience.

3
Projects shipped
10+
Technologies
AI
Powered apps
Vamsi Krishna
// 01 — about

A bit about me

I'm Vamsi Krishna, a passionate full stack developer who loves turning complex problems into clean, scalable solutions. As a fresher, I've invested deeply in building real-world projects that span backend APIs, frontend UIs, mobile apps, and AI-integrated systems.

My stack spans React, React Native (Expo), TypeScript, Python, FastAPI, and modern infrastructure tools like Docker, Kubernetes, Kafka, and PostgreSQL. I enjoy working at every layer of the stack.

When I'm not coding, I'm exploring AI/ML integrations, contributing to open-source, and learning how distributed systems work at scale.

Currently exploring

Hybrid RAG Systems Microservices Kafka Streams LLM integrations

Open to

Full-time roles Internships Freelance projects Collaboration
// 02 — skills

Tech stack

⚛️

Frontend

React TypeScript JavaScript HTML/CSS
📱

Mobile

React Native Expo
🐍

Backend

Python FastAPI Node.js REST APIs
🗄️

Databases

PostgreSQL MongoDB Prisma ORM
☁️

DevOps & Infra

Docker Kubernetes Kafka Microservices Git
🤖

AI / ML

RAG systems LLM APIs GROQ Vector DBs
// 03 — projects

Featured work

01 / AI

AI-Powered Database Query Optimiser

A FastAPI service that monitors PostgreSQL queries via SQLAlchemy, automatically flags slow queries above a 500ms threshold, runs EXPLAIN ANALYZE, and sends context to GROQ for actionable optimization suggestions — displayed in a real-time React dashboard.

FastAPI React Python PostgreSQL GROQ API TypeScript
02 / Safety

VAJRA — Safety Navigation System

An intelligent safety navigation system built with a TypeScript/React Native client and a Python backend. VAJRA provides real-time safety-aware routing, helping users navigate with awareness of their surroundings.

TypeScript React Native Python JavaScript Navigation APIs
03 / AI

Hybrid RAG System

A hybrid Retrieval-Augmented Generation pipeline combining dense vector search and sparse keyword retrieval for significantly more accurate and context-aware LLM responses. Built for production-grade question-answering over large document corpora.

Python Vector DB FastAPI LLM APIs Embeddings
// 04 — contact

Let's build together

I'm actively looking for full-time roles and internships as a Full Stack Developer. If you have an exciting project or an opening on your team, I'd love to connect.