Headline

Lead Backend Engineer | Distributed Systems & Platform Architecture | AI-Driven Backend | Wayfair

About

Lead Backend Engineer designing and scaling distributed systems for high-traffic, business-critical platforms. I work across system design, data platforms, and AI-augmented backend workflows, translating ambiguous product goals into reliable, scalable architectures. Strong focus on platform thinking, AI-enabled automation, and long-term system maintainability.

Location

Bengaluru

AI stack

claude

hermes agent

langchain

langgraph

langsmith

mcp

Work experience

Tech Lead at Wayfair, Feb 2024 - Present · 2 y 8 mo, Bengaluru, • Led development of a context-aware AI agent using Model Context Protocol (MCP) to automate issue triaging by correlating signals across Jira, GitHub, and internal data stores, reducing dev on-call triage time by ~40% • Drove re-architecture of storefront serving to a SKU-level model, designing high-throughput sync jobs and cache-aside GraphQL patterns, resulting in a 10% increase in PDP engagement • Architected batch and streaming data pipelines using Google Dataflow (Apache Beam) to support catalog processing at scale, achieving 10× scalability and reducing error rates from ~20% to <2% • Led modernization of the related items and recommendations backend, optimizing Kafka partitioning and SQL access patterns to reduce rule update latency by 92% (48h → 2h) • Optimized Build-The-Basket (BTB) backend flows by eliminating redundant service calls and introducing an improved optimization algorithm, driving $1.5M in incremental revenue • Owned backend delivery for Collections 2.0, building an Elasticsearch-backed serving layer capable of handling complex, high-concurrency polyglot queries • Reduced long-term technical debt by replacing 100+ tightly coupled legacy references with a contract-driven GraphQL architecture, improving deployment safety and iteration speed • Served as Lead On-Call during peak traffic events, resolving cache pollution and worker failures and eliminating a 9.4% checkout failure rate under load • Mentored junior engineers and contributed to hiring and interview rubric design, strengthening backend system design and delivery standards across the team

Senior Software Engineer at cure.fit (cult.fit), Mar 2021 - Feb 2024 · 3 yrs, Bengaluru, • Engineered a distributed Waitlist Engine using locking and concurrency control mechanisms, significantly improving class conversion rates and peak attendance under high contention • Automated CI/CD pipelines and production monitoring on AWS, driving a 10× improvement in content delivery speed and overall developer productivity • Architected anti-fraud backend systems using device fingerprinting and velocity-based controls, substantially reducing promo-code abuse and fraudulent bookings • Led zero-downtime migrations for Cult GX and Gym membership microservices during a major database refactor, ensuring uninterrupted service for millions of users

Senior Software Engineer at Paytm Money, Aug 2018 - Mar 2021 · 2 yrs 8 mos, Bengaluru, • Owned end-to-end KYC microservices for Mutual Funds and Equity platforms, integrating real-time CVL (KRA) verification to enable seamless and compliant user onboarding • Designed and implemented a high-reliability CERSAI upload service along with B2B ingestion pipelines, supporting external integrations including Alibaba 1688.com • Improved API throughput and P99 latency by ~30% through systematic load testing with Gatling and targeted SQL query optimization

Software Engineer at Target, Aug 2016 - Aug 2018 · 2 yrs 1 mo, Bengaluru Area, India, • Developed a Gift Card microservice for Target.com, supporting transaction voids and handling high-concurrency peak holiday traffic • Automated financial settlement workflows, including PDF generation and secure SFTP integrations with external partners such as AMEX and BAMS

Education

Bachelor’s Degree, Electrical Engineering, Indian Institute of Technology, Roorkee