About
Senior Software Engineer · Agentic AI · LLM Systems · Java · Distributed Systems · 4+ Years · Open to SDE2/SDE3/Senior Software Engineer Roles I build backend systems and AI pipelines that handle real scale — and I own them end to end, from architecture to production reliability. At Intuit, I shipped a multi-tier agentic AI system (LangGraph + LLMs) serving 100K beta customers, designed 8 MCP tools powering QuickBooks Payroll's first integrations with Claude and OpenAI, and built an LLM-based anomaly detector projecting a 96% reduction in paycheck corrections across 15M customers at GA. That's what end-to-end ownership looks like to me: ⚡ Eliminated 154 simultaneous production failures — zero recurrence ⚡ Cut a 7.8-day archival pipeline to under 1 hour via concurrency redesign ⚡ Raised LLM eval completeness to 97.8% with a custom golden-set pipeline ⚡ 85%+ test coverage across Java, Python, and TypeScript codebases ⚡ Zero P0/P1/P2 defects across a 13-company year-end release Beyond building — I mentor junior engineers through structured code reviews, design discussions, and pair debugging, because system quality starts with the people writing it. --- 🤖 AI & ML Systems Agentic AI · LangGraph · LangChain · LLM Evaluation · MCP (Model Context Protocol) · RAG · Prompt Engineering · OpenAI · Claude · Langfuse · Agent Orchestration · AI Observability 🔧 Backend & Systems Java (primary) · Spring Boot · Python · Distributed Systems · Concurrency · Multithreading · Microservices · REST APIs · GraphQL · System Design · Low Level Design 📦 Infrastructure & Data Kafka · Redis · PostgreSQL · MySQL · MongoDB · AWS · Docker · Splunk · CI/CD · Jenkins 🧠 CS Foundation ACM-ICPC 2020 Regionalist · CodeChef 5-Star · Jadavpur University (CGPA 8.9/10) --- 📍 Bangalore, India · Actively exploring Senior Software Engineer / SDE2 / SDE3 roles at companies building at scale. 📩 DM me or connect — always happy to talk engineering.
Work experience
Software Engineer II at Intuit, May 2024 - Present · 2 yrs 5 mos, Bengaluru, • Contributed to the development of an LLM-powered anomaly detection system, achieving a 96% reduction in paycheck corrections. • Optimized archival workflows, decreasing processing time from 7.8 days to under 1 hour. • Resolved over 20 production incidents, enhancing system stability for 50+ enterprise clients by 30%.
Software Development Engineer at Anchanto, Jul 2022 - May 2024 · 1 yr 11 mos, Pune, Maharashtra, India, - Integrated various e-com marketplaces like central, the iconic, s-rewards etc. into Anchanto's order management systems - Also took complete responsibility of the project and contacted with customer (as it is a client facing team) whenever necessary , in order to achieve the results and deadline.
Software Development Intern at Anchanto, Jan 2022 - Apr 2022 · 4 mos, Pune, Maharashtra, India
