Headline

Backend Engineer | Distributed Systems · Go · AWS · Kafka | Built for 10M+ Scale | NIT Surat | Upcoming @ Gatech

About

I'm a backend engineer who has spent 4 years solving distributed systems problems at scale — the kind where 10 million people are on the other side of your code every single day. At Angel One (SDE 1 → SDE 2), I took end-to-end ownership of critical backend infrastructure: — Architected a real-time billing engine processing daily trades for 10M+ clients across multiple exchanges in under 15 minutes — eliminating manual intervention and saving ₹10Cr annually — Designed and delivered a brokerage plan platform handling onboarding, upgrades and removals for millions of customers, unlocking ₹2Cr in monthly revenue — Revamped the offers and promotions module, generating ₹9Cr in additional annual revenue — Built fault-tolerant, event-driven pipelines using AWS Step Functions, Lambda, MSK (Kafka), Glue and PySpark — designed to recover gracefully, not just run fast Before Angel One, I interned at Mastercard (Pune) on the SRE team, where I built a data pipeline pre-validation tool that cut production deployment time by 50%. Tech I work with daily: Go · Java · Python · PySpark · AWS Lambda · Step Functions · MSK · Glue · Aurora MySQL · Kafka · Docker · REST APIs · Microservices · PostgreSQL What I'm strong at: Distributed systems · System design (LLD/HLD) · High-throughput pipelines · Event-driven architecture · Fault tolerance & reliability engineering B.Tech Computer Science — NIT Surat (GPA: 8.16) I'm currently open to Senior Backend / SDE 2-3 roles at product-driven engineering teams — companies where the scale is real, the problems are hard, and great engineering is valued. 📩 roygyanish2000@gmail.com

Location

India

AI stack

codex

cursor

gemini

github copilot

lovable

mcp

Work experience

SDE 2 at Angel One, Apr 2024 - Present · 2 yrs 6 mos, Remote, Brokerage Plan Onboarding Platform • Owned end-to-end design and delivery of a centralized plan lifecycle platform (onboarding, upgrades, downgrades, removals) for millions of customers — unlocking ₹2Cr in monthly recurring revenue within 10-minute SLA windows. • Architected core schemas (journey_state, customer_plan, action_audit_log) for auditability and idempotency; integrated 6 downstream systems (KYC, Payment Gateway, Ledger, CNS, RnA) via REST APIs and event-driven workflows. • Built retry logic with exponential backoff and failure recovery in Go batch workflows, ensuring consistent plan state management under partial system failures.

SDE 1 at Angel One, Jun 2022 - Apr 2024 · 1 yr 11 mos, Remote, Billing & Revenue Systems • Architected end-of-day billing engine for 1M+ clients across multiple exchanges with 5–15 min SLA — eliminating manual intervention and saving ₹10Cr annually. • Designed fault-tolerant publish-subscribe pipeline using AWS Step Functions, Lambda, S3 triggers, and auto delta billing for failed clients — zero manual recovery needed. • Built PySpark pipelines on AWS Glue processing GBs of daily trade data; AWS MSK (Kafka) for message queuing, Aurora MySQL for secure billing storage. • Revamped offers and billing logic module — generated ₹9Cr in additional annual revenue. • Shipped real-time Go microservice displaying live billing charges during order placement for 10M+ users — measurably improved front-end responsiveness. Reliability & Observability • Built inactive client detection module using AWS Glue + Lambda parallel ETL — proactively flagged discrepancies before billing cycles, reducing data fix turnaround significantly. • Set up AWS SNS + PagerDuty alerting across billing systems, reducing MTTD for anomalies and enabling pre-emptive resolution before client impact.

Software Engineer at Mastercard, May 2021 - Jul 2021 · 3 mos, Pune/Pimpri-Chinchwad Area, • Built a pre-check validation utility for data pipelines using Java Drools rule engine — reduced production deployment time by 50%. • Surfaced pipeline warnings and errors on a Grafana dashboard before PR raised to higher environments — caught issues earlier in the deployment cycle. • Built POC application using Angular, Java Spring Boot, and Drools rule engine following OOP and MVC architecture.

Application Engineer at Theonlinestore, May 2020 - Oct 2020 · 6 mos, Remote, - Contributed towards database design and development - Contributed towards implementation of backend API's

Education

Bachelor of Technology - BTech, Computer Science, Sardar Vallabhbhai National Institute of Technology, Surat

Higher Secondary, Science, Green Valley High School

Public links

github: https://github.com/gsherlock

leetcode: https://leetcode.com/gsherlock763

codeforces: https://codeforces.com/profile/rekoj