Headline

Engineering Delivery Leader @ Adobe | Turning complex problems into resilient, high-scale systems | Leading cross-functional engineering teams | ex-Goldman Sachs | ex-Zolve

About

I lead engineering delivery for Adobe's VIP Marketplace commerce platform (Ordering, Billing, Entitlements), a $4B+ business. • Lead 20 engineers and team leads; own architecture, roadmap and delivery across 15+ teams • Scaled ordering from manual workflows to a self-service API platform for global partners, and moved $500M+ in book of business onto it • Delivered 15+ revenue programs worth ~$150M in ARR, including Local Currency ($48M), Flex Promotions ($40M) and renewal grace-period changes ($25M) • Designed a production multi-agent AI platform from scratch in Python: RAG, Graph RAG, MCP tools, evals and guardrails. Customer issue investigations and sales queries and pitches went from days to minutes; solution design from weeks to a day. • Build resilient, high-throughput distributed systems: Python, Java, Kafka, event-driven microservices, billion-row datasets • Built platforms from zero at Zolve (fintech) and Cricket.com, and scaled liquidity data systems at Goldman Sachs Hungry to learn new things and grow, and excited to take on bigger and more complex challenges. Adobe Significant Contribution Award (2024, 2025) · B.Tech CSE, NIT Srinagar

Location

Bengaluru

AI stack

claude code

claude

cursor

github copilot

hermes agent

kimi

Work experience

Computer scientist II at Adobe, Feb 2025 - Present · 1 yr 10 mos, On-site, Lead engineering delivery for Adobe's VIP Marketplace Ordering, Billing and Entitlements platform, a $4B+ business. • Lead 20 engineers, including team leads from other teams, and drive delivery across 15+ teams • Leading Local Currency support (~$48M ARR), moving partner pricing to local currencies • Delivered Flex Promotions ($40M ARR), a shorter post-renewal grace period ($25M ARR) and partial returns • Brought China onto the platform, about $100M in book of business across 19,000 contracts • Leading VIP Direct Milestone 3 and Instant Deal Registration • Architected a multi-agent AI platform in Python with RAG, Graph RAG, MCP tools, evals and guardrails. Customer issue investigations and sales queries and pitches went from days to minutes. • Built design agents that turn requirements into HLD, LLD and PRs, cutting solution design from weeks to about a day • Adobe Significant Contribution Award, Q1 2025

Computer Scientist at Adobe, Nov 2022 - Feb 2025 · 2 yrs 4 mos, Bengaluru, • Moved ordering for a $4B+ business from manual workflows to API-driven self-service • Moved $430M+ in book of business onto the platform: High Volume Discounts ($167M), Linked Memberships ($161M), Large Government Agencies ($84M), worldwide license deployment ($18M) • Delivered Large Government Agencies, Recommendations API, Flex Promotions and Mid-Term Upgrades: ~$55M in ARR • Laid the API foundation for VIP Direct 2.0, a marketplace for direct customers • Shipped reseller and distributor transitions that cut support load 40% • Adobe Significant Contribution Award, Aug 2024

Software Engineer at Zolve, May 2021 - Nov 2022 · 1 yr 7 mos, Bengaluru, Software Engineer L3 · Fintech: cross-border consumer banking for people moving to the US. • Built the remittance platform from scratch and scaled it to millions of dollars in cross-border transfers, cutting transfer time from days to minutes • Built the Rewards service: cashback and personalized campaigns that drove engagement and cut churn • Designed resilient, event-driven backend services and APIs for money movement at scale

Senior analyst/developer at Goldman Sachs, Sep 2019 - May 2021 · 1 yr 9 mos, Bangalore, Liquidity Risk Technology. Built the code and pipelines that ingest, clean, process and calculate data at massive scale for regulatory reporting, PnL and MtM. • Wrote automated pipelines to ingest, validate and transform liquidity reports with millions of rows and generate the reports sent to the US Federal Reserve daily, including 5G reporting • Built services that ingested from a data lake holding billions of rows and computed liquidity and risk metrics • Made MtM available earlier by ingesting pricing data early and re-architecting the calculation on a new framework that processes millions of rows in parallel, cutting run time sharply from T+5 to T+2 • Built log processing on python coroutines cutting processing from 10 days to 3 hours • Built archival and restoration for large historical datasets; OS6 liquidity modelling across ~$1B in outflows

Senior Software Engineer at Head Digital Works Pvt Ltd., Oct 2018 - Sep 2019 · 1 yr, Bangalore, Built live match, analytics and fantasy products from scratch for Cricket.com. • Ran analytics on millions of rows of ball-by-ball and player data to drive live predictions and fantasy points • Designed high-throughput data pipelines to process match events in real time at scale • Built backend services and APIs powering live scores, stats and fantasy gameplay for a large user base

Systems Engineer at Infosys, Oct 2017 - Oct 2018 · 1 yr 1 mo, Bangalore, • Built e-commerce features for OLAM's global coffee blend sales platform

Education

Bachelor of Technology (B.Tech.), Computer science and Engineering, National Institute of Technology,Srinagar