Balu Chandrasekhar Tirupati

About

I am Balu Chandrasekhar, pursuing a Master’s in Computer Science at the University of North Texas (2023-2025). I am a Full Stack Software Engineer with hands-on experience building scalable web applications using React, Next.js, Node.js, TypeScript, Express.js, PostgreSQL, Prisma, and AWS. I enjoy solving complex engineering challenges and delivering high-performance features that improve user experience and system reliability. Current role: Software Engineer at MS INFO TECH, architecting scalable AI-powered platforms with LangChain.js, OpenAI embeddings, and RAG pipelines to enable reliable enterprise document processing. Previously, as Backend Developer at MatchMakers, I built real-time backend systems with Express.js, Hasura GraphQL, PostgreSQL, and AWS Rekognition integration for automated uploads, plus CloudFront/S3 delivery improvements. I have built multiple production-ready projects with Next.js, Prisma, AWS S3, Tailwind CSS, Neon DB, and Auth.js, including secure file-sharing and AI mock interview tooling. Interests: Full Stack Development, Cloud Architecture, AI/LLM Integration, RAG, DevOps, Distributed Systems. Core Skills: Node.js • TypeScript • React • Next.js • PostgreSQL • Prisma • AWS • GraphQL • Docker • LangChain.js • OpenAI SDK

Experience

• Software Engineer · MS INFO TECH07-01-2025 –

  Architected a scalable Chat-to-PDF platform using TypeScript and LangChain.js, building modular pipelines to parse, index, and summarize complex documents for high-performance semantic search retrieval. Improved retrieval precision by 40% via Retrieval Augmented Generation (RAG) using Qdrant vector stores and OpenAI embeddings to ground LLM responses in enterprise data. Minimized hallucinations by implementing a Corrective RAG mechanism that validates retrieval context against query intent, ensuring 99.9% reliability by filtering irrelevant data chunks.

• Back End Developer · MatchMakers05-01-2024 – 05-01-2025

  Engineered a high-throughput backend using Express.js and Hasura GraphQL, orchestrating secure data flow between client applications and PostgreSQL databases to support real-time matchmaking logic. Enhanced profile verification accuracy by integrating AWS Rekognition for face similarity checks, eliminating manual review for over 500 daily uploads and streamlining user onboarding. Reduced static asset load times by 40% and optimized bandwidth usage by implementing an AWS CloudFront CDN backed by S3 buckets, leveraging edge caching strategies to ensure low-latency content delivery for global users.

• Full Stack Developer · Areteans08-01-2022 – 02-01-2023

  Developed robust insurance policy management modules using Node.js, designing RESTful APIs to automate risk assessment checks and data aggregation for instant quote generation. Decreased production runtime errors by 35% by refactoring legacy JavaScript codebases into strongly-typed TypeScript services, effectively enforcing type safety and improving maintainability during bi-weekly Agile sprints. Improved frontend performance with React hooks and lazy loading, reducing initial page load latency from 3 seconds to 1.2 seconds.

Education

• University of North TexasMaster's degree, Computer Science
• Chennai Institute of TechnologyBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

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