Headline

Software Engineer | Event-Driven Systems | Flexport

About

I'm a software engineer who designs and owns backend systems that carry real business risk in production. At Flexport, I build event-driven backend systems for the Warehouse Receiving and Inbound platform using Node.js, TypeScript, React, and AWS. Recent work includes leading the Receiving and Putaway flow for our native WMS, designing an async job execution framework (SQS + Lambda) to work around API Gateway timeouts, and building an AI-powered incident investigation assistant (LLM, RAG, MCP) that speeds up on-call triage. I've also shipped merchant-provided receiving, OCR-based label-less receiving, and an International DTC integration. I stay on-call for mission-critical logistics infrastructure. Before this, I worked at Amazon on the Product Detail Page, a Tier-1 surface serving hundreds of millions of users. I focused on performance, UX, and personalization, including Prime-specific filtering, latency reductions, and early LLM-driven personalization experiments. I care about clear system design, correctness, and long-term maintainability. I prefer roles with real ownership, where I'm responsible for decisions and outcomes, not just implementation.

Location

Delhi

AI stack

antigravity

claude code

codex

cursor

elevenlabs

Work experience

Software Engineer at Flexport, Jun 2024 - Present · 2 yrs 3 mos, Bengaluru, At Flexport, I build backend systems for the Warehouse Receiving and Inbound platform: Node.js/TypeScript services on AWS, React/Next.js on the frontend. I own design through production support. Highlights: • Led development of the Receiving and Putaway flow for Flexport's native WMS, replacing third-party tooling with an in-house event-driven pipeline • Designed ExecuteAsync, a generic async job execution framework (SQS + Lambda) that converts long-running synchronous API calls into queue-based jobs with idempotent retries and dead-letter handling, built to work around API Gateway's 30s timeout without the overhead of Step Functions • Built an AI-powered incident investigation assistant (LLM + RAG + MCP integrations) that automates first-pass triage against Datadog and internal systems • Designed a deterministic, idempotent event-based attribution flow that eliminated a recurring class of support tickets • Shipped merchant-provided ASN/PO receiving using composite database indexing, and an OCR-based receiving pipeline for barcode-less shipments • Delivered International DTC, integrating Flexport's core systems with omni-channel platforms Stack: Node.js, TypeScript, React, Next.js, Java, PostgreSQL, AWS (Lambda, SQS, RDS)

Software Engineer at Amazon, Jul 2022 - Feb 2024 · 1 yr 8 mos, Bangalore Urban, Stack: Java (Spring), CSS, JSP, JavaScript, DynamoDB, Mockito. > Owned Customer Experience (CX) for Amazon’s Product Detail Page as part of a Tier-1 on-call team handling peak-traffic events. > Co-built an event-driven media aggregation platform on AWS Lambda, DynamoDB Streams, and Kinesis handling 100M+ product updates/day; cut infrastructure costs by 60% at 99.95% uptime. > Revamped the product variations selector on Desktop, reducing latency by 374ms, contributing $43M+ in revenue. > Designed and integrated Prime Filtering on the Product Detail Page for 200M+ Prime users. > Engineered a customer-proficiency signal and applied LLM-driven personalization, boosting user engagement by 7% and driving $2M+ in revenue. > Handled high-severity on-call responsibilities for 12+ weeks, showcasing strong deep-diving skills.

Software Development Intern at Amazon, Jan 2022 - Jun 2022 · 6 mos, Bengaluru, Karnataka, India, Worked as a Software Development Engineer at Customer Journey Team (Checkout TYP) ■ Developed a Plugin for Extended Free Shipping Message in US Locale on TYP ■ Worked on removing the back button on TYP on IOS and Android Apps ■ Analysed Data and Cleaned up weblabs

Software Development Intern at uSthaan Integrated Solutions Pvt. Ltd., Apr 2021 - Oct 2021 · 7 mos, Mumbai, Maharashtra, India, ◦ Development: Designed RESTful API using express and Developed the microservices. ◦ Unit Testing: Wrote scripts for unit testing of the API using Chai and Mocha. ◦ Load Testing: Created Reports for load testing of microservices on EC2 instance on AWS. ◦ Pull Request: Assisted with Reviewing Pull Requests for better working of code.

Education

Bachelor of Technology, Computer Engineering, Maharaja Agrasen Institute Of Technology, Delhi

Intermediate, PCM, Baal Baari Public School Sr. sec.