Software Engineer · Backend & AI Engineering
Building reliable, production-grade systems at the intersection of distributed backend engineering and applied AI.
I'm a software engineer focused on turning complex, high-throughput workflows into dependable products. My work spans Java/Spring backend systems, event-driven architecture, and LLM-powered applications—from multi-agent orchestration to retrieval, evaluation, and operational reliability.
- 🧠 Building agentic AI platforms, RAG pipelines, and LLM evaluation systems
- ⚙️ Designing asynchronous, resilient workflows with Kafka, SQS, and AWS
- 🗄️ Modelling scalable data systems with DynamoDB, SQL/NoSQL, and vector databases
- 🎓 B.E. Computer Engineering, Thapar Institute of Engineering & Technology — CGPA 9.3
- Built a production multi-agent orchestration platform handling 10K+ weekly requests, with routing, validation, guardrails, and multi-step workflow control.
- Engineered an event-driven RAG ingestion platform for document parsing, chunking, vector indexing, and stateful failure recovery.
- Developed an asynchronous LLM-as-Judge evaluation pipeline with versioned rubrics; cut evaluation cost by 50% with batch inference.
- Scaled sentence-level TTS through batched parallel synthesis—3× throughput and 70% lower inference cost.
- Designed typed SQS FIFO workflows and DynamoDB concurrency controls to preserve tenant ordering and prevent lost updates.
AI Engineering — AI Agents · LangChain · LangGraph · RAG · LLM-as-Judge · Vector Databases
Backend & Distributed Systems — Spring Boot · REST APIs · Microservices · Event-Driven Architecture · Kafka · Amazon SQS · State Machines
Cloud & Data — AWS · Lambda · S3 · DynamoDB · SQL · NoSQL · Docker
| Project | Focus |
|---|---|
| One RAG | Retrieval-augmented generation and document intelligence |
| VibeSense Agent | AI agent that grounds music recommendations in live heart-rate signals and preferences |
| Event-Driven Microservices | Asynchronous backend patterns and distributed workflows |
| Realtime Chat | Real-time messaging system design and implementation |
Multi-agent architectures · AI evaluation and observability · Context engineering · MCP · scalable AI infrastructure
- AWS Certified Developer – Associate (2026–2029)
- AWS Certified Solutions Architect – Associate
Open to conversations about backend systems, applied AI, and building reliable developer platforms.