SDE-1 at Amazon | Ex-MathWorks | IIIT Delhi

Bengaluru

Hyderabad

Hyderabad, Telangana, India








Bachelor of Technology - BTech, Computer Science and Applied Mathematics
Indraprastha Institute of Information Technology, Delhi

High School Diploma, Science (Non-medical)
Delhi Public School Rohini
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Software engineer at Amazon building agentic AI systems that run in production at scale — currently on Alexa for Shopping, Amazon's AI assistant serving 129M+ monthly users. My work sits where LLM systems meet distributed backend engineering: multi-agent orchestration, intent and tool routing, evaluation harnesses that keep agent quality honest, and the services underneath handling hundreds of millions of requests a month. Before Amazon I worked in computer vision at MathWorks — semantic segmentation, object detection and tracking with vision foundation models — which is where I learned what it takes to move a model from a paper to something that holds up on real data. I'm highly inquisitive and do my best work when exploration runs straight into hands-on implementation. Always happy to talk about agents, evals, or anything at the boundary of AI and systems.
Bengaluru
claude code
claude
kiro
langchain
mcp
OpenRouter
Software Development Engineer I at Amazon, May 2025 - Present · 1 yr 5 mos, Bengaluru, • Architected and delivered end-to-end agentic subscription management for Alexa for Shopping, Amazon's AI assistant (129M+ MAU), replacing static help flows with live subscription data across 8.5M+ annual queries and 25+ digital businesses. • Designed and shipped MCP tools integrated with Amazon's centralized multi-tenant subscription platform, federating 30+ backend services to surface real-time billing, renewal, and plan data conversationally. • Built layered intent disambiguation for agentic tool routing, resolving cross-domain conflicts to hold resolution to under 2 tool invocations per query and contain per-query latency and inference cost. • Drove end-to-end productionization of 20+ agentic user actions from POC through phased rollout, and built an LLM-as-judge evaluation harness with configurable judge prompts to surface agent quality regressions before launch. • Owned and led migration of the Prime Video subscription channel data service (487M monthly requests, 1.6B at peak) off a legacy dependency, building an asynchronous validation framework that verified response parity at zero customer latency impact. • Drove an overhaul of the unit-testing framework across the entire hydrator test suite, refactoring dummy stubs into mock clients of downstream services so tests exercised real call paths rather than placeholder responses. • Executed load testing across 6 peak-simulation GameDays (NA/EU/FE) and drove capacity-scaling analysis behind zero-outage Prime Day 2025 traffic (11.2M customer visits), including scaling a distributed ElasticSearch cluster from 4 to 20 data nodes. • Architected the orchestration engine and agent scaffold for an internal multi-agent AI platform (now 22 agents and 29 skills across 2 teams) that automates availability root-cause analysis and weekly on-call reporting, saving roughly 740 engineer-hours per year.
Software Engineer at MathWorks, Jul 2023 - Aug 2024 · 1 yr 2 mos, Hyderabad, • Developed and validated an end-to-end object detection and tracking pipeline for video built on vision foundation models (Grounding-DINO, SAM, DeAOT), with significant Python development — improving tracking accuracy by 8% and reducing user touchpoints by 50%. • Improved semantic segmentation accuracy on hyperspectral imagery from 74% to 96% using U-Net, through extensive data pre-processing and post-processing, augmentation, and hyperparameter optimization across MATLAB and Python. • Built a parallelized multiprocessing data pipeline in Python that accelerated Radiative Transfer Modelling-based atmospheric correction of ~650GB of satellite imagery by 4x — designing the workflow end to end, and driving significant C++ code review and debugging. • Engineered an internal operations dashboard (React, Node.js, Express, MongoDB) with RESTful APIs and role-based data models, reducing onboarding time by 30% for 500+ employees. • Contributed to the MATLAB community by solving 100+ queries on the MATLAB Answers forum.
EDG Intern at MathWorks, May 2022 - Jul 2022 · 3 mos, Hyderabad, Telangana, India
Research Intern at MIDAS: Multimodal Digital Media Analysis Lab, Jan 2021 - Oct 2021 · 10 mos
Bachelor of Technology - BTech, Computer Science and Applied Mathematics, Indraprastha Institute of Information Technology, Delhi
High School Diploma, Science (Non-medical), Delhi Public School Rohini