AI Systems Engineer • Backend Developer • Full Stack Builder
Building AI systems that survive beyond the demo.
AI & LLM: LangChain (JS), LangGraph (JS), RAG Pipelines, Prompt Engineering, Ollama, LLM Fine-tuning
Frontend: React, Next.js, Electron, Angular js.
Backend: Node.js, Spring Boot, Hibernate, REST API Design, System Architecture
Databases: MongoDB, MySQL, PostgreSql, Qdrant (vector search), Pinecone, AWS RDS.
Cloud & DevOps: Docker, Github Actions, Nginx, Azure Container Apps, AWS, Containerized Deployment.
Certifications: Microsoft Applied Skills: Build AI Agents · Azure Container Apps · Azure Management
- 🤖 Multi-agent AI workflows — LangGraph pipelines that reason, validate, and adapt
- 🔍 RAG & retrieval systems — Qdrant + MongoDB hybrid semantic search
- ⚙️ Backend services & APIs — Spring Boot, Node.js, production-grade architecture
- 🚀 Deployed full stack apps — real users, real traffic, real performance constraints
⚡ NARAD — 🏆 Top 5 National · MOSPI × MoE Statathon
Multi-agent survey & data intelligence system replacing manual government data collection. Adaptive questioning, real-time validation, multi-channel inputs.
LangGraph LangChain Qdrant MongoDB WhatsApp API Voice APIs
🧠 LLM Customizer — Final Year Project
SaaS platform for dataset upload, model fine-tuning, and deployment on NVIDIA DGX infrastructure. Focus on GPU efficiency and practical MLOps.
Python React Node.js NVIDIA DGX
College club platform built from scratch — 3,500+ visits, 80K+ hits, AI chatbot serving 500+ student requests. Bundle reduced 67.5 MB → 280 KB (99.6%).
React Node.js AI Chatbot
AI evaluation workflow with stateful follow-up generation and role-specific prompt-engineered scoring logic.
LangChain Prompt Engineering Next.js
Production-style logistics backend with role-based auth, structured service architecture, Docker, and AWS RDS.
Spring Boot Hibernate Spring Security Docker AWS RDS
AI / LLM → LangChain · LangGraph · RAG Pipelines · vLLM · Prompt Engineering
Frontend → React · Next.js · Electron · Angular
Backend → Node.js · Spring Boot · Hibernate · REST APIs
Databases → MongoDB · Qdrant · PostgreSQL · Pinecone · AWS RDS
Cloud → Docker · Azure · AWS
| Year | |
|---|---|
| 2024 | Core full stack and backend foundations |
| 2025 | Production systems, internships, hackathons |
| 2026 → | AI systems, multi-agent workflows, RAG, fine-tuning SaaS |
| Next | Scalable AI infrastructure and product-grade systems |
bhatshreevathsa17@gmail.com • GitHub • LinkedIn
"Good software works. Great software survives production."