Senior Backend Engineer @ Fleek (YC) | Java · Spring Boot · Distributed Systems · Search & Ranking | ex-Goldman Sachs, Tekion

Bengaluru

Bengaluru

Bengaluru






Bachelor of Technology - BTech, Computer Science
Shiv Nadar University
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I write code that helps the world waste less clothes. I'm a Senior Backend Engineer at Fleek (YC-backed), India's B2B marketplace for pre-owned and surplus fashion. I own search, personalization, and the experimentation infra that moves inventory across thousands of resellers and B2B buyers. Some of what I've shipped: • A search/ranking engine over 80K+ products → 84% CTR • Cart infrastructure rebuilt from scratch, off Shopify → 55% lower latency • An experimentation platform running 20+ concurrent A/B tests at 0.4% contamination • A pricing insight (30%+ checkout drop-off once shipping crossed 30% of item price) that reshaped pricing strategy Before Fleek: Tekion — backend on Platform Analytics; cut an OEM accounting sync from 3 days to 45 minutes. Goldman Sachs — internal automation for the Recruiting org; won the firmwide Accelerate Hackathon. Shiv Nadar University '21, Computer Science (9.4/10). The stack I live in: Java, Spring Boot, Elasticsearch, Kafka, Redis, MySQL, AWS. The part I love is system design — making things scale without breaking. Happy to chat about distributed systems, search & ranking, AI tooling for engineers, and building products in India.
Bengaluru
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Senior Software Engineer at Fleek, Jun 2024 - Present · 2 yrs 3 mos, Bengaluru, Software Engineer on the Backend team at Fleek: B2B marketplace for pre-owned and surplus fashion. I work on search, personalization, experimentation infrastructure, and the systems that move inventory across thousands of resellers and B2B buyers. Selected work: • Built Cart infrastructure from scratch, replacing Shopify dependency — reduced latencies by up to 55% across all cart operations. • Architected the backend-driven homepage (Java + Spring Boot) with dynamic blocks — collapsed 20+ configs into <6 modular components serving thousands of DAUs. • Built an experimentation platform using LaunchDarkly + backend traffic segmentation — enabled 20+ concurrent A/B tests with 0.4% contamination rate. • Designed an Elasticsearch personalization engine ranking 80K+ products via user attributes and brand-category boosting — achieved 84% CTR, 17% indirect CVR, 3.8% direct CVR. • Owned split-shipping experimentation end-to-end — surfaced a 30%+ checkout drop-off when shipping exceeded 30% of item price, directly informing pricing strategy. • Built the QC platform from scratch — reduced PQ complaints from 40% to 8%, cut resolution time by 65%. • Implemented shipping pricing microservice — moved margin from -10% to break-even, reduced CX complaints by 80%. Stack: Java, Spring Boot, Elasticsearch, MySQL, Redis, Kafka, AWS, LaunchDarkly.
Software Engineer at Tekion Corp, Feb 2023 - Jun 2024 · 1 yr 5 mos, Bengaluru, Backend engineer on the Platform Analytics team at Tekion — building data infrastructure for the auto retail OS used across thousands of dealerships globally. Selected work: • Built a real-time lookup layer replacing full Elasticsearch index scans — reduced storage by 55% and improved query latency by 30%. • Automated OEM accounting sync via event-driven services — cut completion time from 3 days to 45 minutes. • Integrated Kafka event notifications with the Report Builder for real-time user updates. Stack: Java, Spring Boot, Elasticsearch, Kafka, MySQL, distributed systems.
Analyst at Goldman Sachs, Jun 2021 - Feb 2023 · 1 yr 9 mos, Bengaluru, Software Engineer in the Recruiting Engineering org at Goldman Sachs. Built and shipped internal tools used by recruiters across the firm globally — automation, data services, and modernizing legacy systems. Selected work: • Migrated legacy services to AWS microservices and integrated GraphQL APIs for the firm's internal HR platform. • Built an OCR resume parser for the background-check pipeline — reduced processing time by 40%. • Owned the fingerprint processing system for US onboarding end-to-end — authored the PRD and ERD, shipped to production. Stack: Java, Python, AWS, GraphQL, REST, microservices.
Seasonal Analyst at Goldman Sachs, Jan 2021 - Jun 2021 · 6 mos
Summer Analyst at Goldman Sachs, Jun 2020 - Jul 2020 · 2 mos, Summer internship in the Recruiting Engineering team. Gathered and documented requirements directly from end users, then built tooling to process and store recruiting data — the project converted into a return offer for a full-time role. Highlight: Won the Goldman Sachs Accelerate Hackathon (2020) — competing against 50+ teams firm-wide. Stack: Java, BI Publisher, REST APIs.
Software Intern at 3RC Consulting, Corp., May 2019 - Aug 2019 · 4 mos, Web development internship — migrated the company backend to Node.js and integrated Google Sheets & Maps APIs to automate internal data workflows.
Bachelor of Technology - BTech, Computer Science, Shiv Nadar University
github: https://github.com/somya1105