---
title: "Gyanish Kumar - SDE 2 in India | Tal"
description: "Meet Gyanish Kumar, Backend Engineer | Distributed Systems · Go · AWS · Kafka | Built for 10M+ Scale | NIT Surat | Upcoming @ Gatech based in India. AI stack includes codex, cursor, and gemini. Explore public work links including github, leetcode, and codeforces."
image: "https://tal.club/meet/gyanish-kumar/share-image"
---

# Gyanish Kumar on Tal

## 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

[View the original profile](https://tal.club/meet/gyanish-kumar)

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