Headline

Backend x AI Engineer | RAG, LangChain, Agents | Java, Spring Boot, Python | Distributed Systems

About

Backend-focused engineer with 2+ years of full-stack experience, now building where scalable systems meet Generative AI. I’ve worked across the stack—from high-performance distributed systems in Java and Spring Boot to production-grade GenAI workflows using Python and LangChain. Along the way, I’ve re-engineered cloud infrastructure to slash memory costs by 98%, dropped frontend load times by 80%, and deployed automated document-parsing pipelines. Big fan of system optimization, clean architecture, and pushing what’s possible with vector search and RAG pipelines. Now exploring how Agentic AI can add a new layer of autonomy to modern software systems. Always building, always curious.

Location

Bengaluru

AI stack

gemini

langchain

langgraph

notebooklm

ollama

openai

Work experience

Software Development Engineer at Bandhoo Solutions, Feb 2023 - Jun 2025 · 2 yrs 5 mos, Bengaluru, Karnataka, India, - Re-architected the core Redis infrastructure, leading to a massive 98% reduction in cloud memory costs by optimizing the per-user memory footprint from 48MB down to a lean 0.5MB. - Successfully migrated complex data filtering and search logic entirely to the backend. Leveraged highly optimized MySQL queries and Java Stream APIs to enhance data processing, resulting in an 80% reduction in frontend load times. - Engineered comprehensive JUnit test suites for legacy systems to eliminate technical debt, effectively cutting down production debugging time and boosting overall deployment stability. Skills: Java, Spring Boot, Redis, MySQL, TypeScript, AngularJS, Unit Testing

Education

Bachelor of Technology - BTech, Electrical Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi

Full-Stack Web Development Program, Computer Software Engineering, Masai school

Public links

github: https://github.com/nitya-baranwal