About
I am a Computer Science and Engineering student at IIIT Jabalpur (Class of 2026), specializing in backend development, scalable AI infrastructure, and system optimization. Currently, I’m working as a Developer Intern at Cloudlex in Pune, where I focus on building resilient backend services. My work involves designing multi-turn LangGraph pipelines to automate complex legal and medical document analysis, with a heavy emphasis on cost-aware engineering and platform reliability. A few highlights of my recent technical work: AI Infrastructure & Scale: Integrated automated cross-provider fallbacks via a LiteLLM gateway, handling dynamic rerouting for a platform processing ~1.5 billion monthly tokens. Performance Optimization: Implemented Anthropic Prompt Caching and engineered robust multi-modal document ingestion pipelines to drastically reduce LLM inference costs and latency. Scalable Search: Developed a Vector Search Engine utilizing ChromaDB and HNSW indexing for rapid semantic, metadata, and hybrid search operations. Applied Research: Published a patent (Indian Patent Office) for DiabEase, a smart IoT insulin management device. With a solid foundation in data structures and algorithms (700+ problems solved, LeetCode rating 1789), I enjoy diving into complex constraints to build systems that are not just intelligent, but reliable, efficient, and production-ready. Core Competencies: Languages: Python, Java, C++, JavaScript/TypeScript, SQL, Cypher AI & LLMs: Agentic Workflows, RAG / GraphRAG, LangChain, LangGraph, Azure OpenAI, HuggingFace Backend & Cloud: FastAPI, Django, NodeJS, Docker, Azure, REST APIs Databases: PostgreSQL, Neo4j, CosmosDB, FAISS, ChromaDB
Work experience
Intern at CloudLex - The Legal Cloud, Jan 2026 - Jun 2026 · 6 mos, On-site, AI Engineer Intern at Cloudlex, building scalable enterprise AI solutions for document automation. Experienced in FastAPI, LangGraph, RAG pipelines, OCR workflows, and multi-tenant backend systems. Optimized LLM cost/latency by 90% through prompt caching and designed production-grade AI workflows for legal and medical use cases. Strong foundation in backend engineering, cloud systems, and deploying AI products at scale.
