Passionate about crafting robust and scalable software solutions, with a focus on backend systems and AI integration.

Currently At
Atlan
Software Engineer Intern
May 2025 – Present • Remote
Work Experience
Atlan
Software Engineer Intern
- •Built 9+ AI agents on N8N for call insights analysis, reducing manual analysis time by 90% across internal teams.
- •Developed AI talent screening agent for multi-role recruitment, reducing manual review time by 75% across 20,000+ applications.
- •Engineered AI frontend performance analysis agent using Chrome DevTools Protocol, reducing developer debugging time by 60% with automated optimization AI recommendations.
Atlan
Software Engineer Intern
- •Built 9+ AI agents on N8N for call insights analysis, reducing manual analysis time by 90% across internal teams.
- •Developed AI talent screening agent for multi-role recruitment, reducing manual review time by 75% across 20,000+ applications.
- •Engineered AI frontend performance analysis agent using Chrome DevTools Protocol, reducing developer debugging time by 60% with automated optimization AI recommendations.
EzAIx
Software Engineer Intern
- •Architected AI CFO system with multi-agent orchestration using LangChain/Langgraph and Azure OpenAI, reducing analysis time by 55% and improving financial accuracy by 40%.
- •Built NLP financial interface with RAG for WhatsApp, achieving 85% accuracy on QuickBooks queries, and implemented MCP server integrating 15+ QBO APIs.
- •Engineered scalable backend with 40+ RESTful APIs using Django, Azure Functions, CosmosDB, and Redis, integrating Azure AD B2C and Omnichannel (SMS, WhatsApp, email) for real-time AI processing.
EzAIx
Software Engineer Intern
- •Architected AI CFO system with multi-agent orchestration using LangChain/Langgraph and Azure OpenAI, reducing analysis time by 55% and improving financial accuracy by 40%.
- •Built NLP financial interface with RAG for WhatsApp, achieving 85% accuracy on QuickBooks queries, and implemented MCP server integrating 15+ QBO APIs.
- •Engineered scalable backend with 40+ RESTful APIs using Django, Azure Functions, CosmosDB, and Redis, integrating Azure AD B2C and Omnichannel (SMS, WhatsApp, email) for real-time AI processing.
Tunable Labs
Software Engineer Intern
- •Architected multi-modal AI agent system for legal document processing with 85% accuracy across 1,000+ documents using S3, LlamaParse and LlamaIndex.
- •Engineered RAG system using Pinecone with HNSW indexing, reducing semantic search latency by 40% across 10,000+ legal clauses with Weaviate storage.
- •Deployed production environment with LangChain agent coordination, FastAPI backend, and streaming NextJS frontend on AWS ECS.
Tunable Labs
Software Engineer Intern
- •Architected multi-modal AI agent system for legal document processing with 85% accuracy across 1,000+ documents using S3, LlamaParse and LlamaIndex.
- •Engineered RAG system using Pinecone with HNSW indexing, reducing semantic search latency by 40% across 10,000+ legal clauses with Weaviate storage.
- •Deployed production environment with LangChain agent coordination, FastAPI backend, and streaming NextJS frontend on AWS ECS.
KoinX
Software Engineer Intern - Backend
- •Implemented Repository Pattern for 40+ MongoDB models with generic Repository Class, reducing code duplication by 60%.
- •Refactored cryptocurrency tax calculation services across multiple countries and developed scalable wallet-wise PL tracking with 100% test coverage.
- •Created Grafana dashboards using PromQL for 9 microservices with 30+ panels tracking latency, errors and throughput, enabling 60% faster incident response.
KoinX
Software Engineer Intern - Backend
- •Implemented Repository Pattern for 40+ MongoDB models with generic Repository Class, reducing code duplication by 60%.
- •Refactored cryptocurrency tax calculation services across multiple countries and developed scalable wallet-wise PL tracking with 100% test coverage.
- •Created Grafana dashboards using PromQL for 9 microservices with 30+ panels tracking latency, errors and throughput, enabling 60% faster incident response.
Education
Indian Institute of Technology Madras (IIT-M)
B.Sc. in Data Science and Programming
ABES Engineering College
B.Tech in Computer Science and Engineering
Skills & Technologies
Programming Languages
AI/ML Technologies
Backend Technologies
Cloud & DevOps
Tools & Concepts
Featured Projects
AI SDR
An AI-powered sales development and meeting management platform featuring AI Lead Generation & Analysis, Personalized Email Generation, Automated Follow-ups & Scheduling, and AI Meeting Notes & Knowledge Base. Built with Next.js, FastAPI, Redis, Supabase, Pinecone, LangGraph, and Groq.
Travel Itinerary Multi-Agent Planner
Autonomous travel planning system using specialized AI agents (LangGraph, Gemini, GROQ) & QStash for async processing. Features responsive streaming UI (Next.js, FastAPI) and CI/CD deployment (AWS EC2, Docker, Prometheus). Achieved 50% faster responses & 90% context accuracy.