---
title: "Sakthi Vignesh - Data Science and ML Software Engineer in Chennai | Tal"
description: "Meet Sakthi Vignesh, Software Engineer @ Winzo Games | ML Systems & Backend Infra | C++, Distributed Systems, Low-Latency, CyberSecurity | Codeforces Expert | IIT Madras CSE’25 based in Chennai. AI stack includes claude code, claude, and github copilot."
image: "https://tal.club/meet/sakthi-vignesh/share-image"
---

# Sakthi Vignesh on Tal

## Headline

Software Engineer @ Winzo Games \| ML Systems & Backend Infra \| C\+\+, Distributed Systems, Low\-Latency, CyberSecurity \| Codeforces Expert \| IIT Madras CSE’25

## About

Machine Learning Software engineer with a systems and cybersecurity background, currently building distributed backend infrastructure and data science systems at Winzo Games \(100k\+ DAU\) — from low\-latency Kafka/Redis pipelines to ML\-driven fraud detection and churn prediction\. Codeforces Expert \(1712, 600\+ problems\) with C/C\+\+ roots in offensive security: placed 5th globally at eCTF 2024 \(200\+ teams, ahead of CMU, MIT\) Open to backend and C\+\+ engineering roles where systems depth and performance matter\. B\.Tech CSE, IIT Madras 2025 \| AIR 645, JEE Advanced 2021

## Location

Chennai

## AI stack

claude code

claude

github copilot

obsidian

## Work experience

Data Science and ML Software Engineer at WinZO, Jun 2025 \- Present · 1 yr 3 mos, Delhi, India, \- Architected a distributed, event\-driven backend \(Kafka, Celery, Redis\) powering real\-time, multi\-modal interactions for 100k\+ daily active users, with observability via OpenTelemetry and schema validation via Pydantic \- Re\-architected compute\-heavy Spark/Airflow pipelines, cutting compute cost 65% on the platform's top 10 highest\-load jobs by eliminating redundant full table scans \- Built ML\-driven fraud detection — analyzing 200k\+ poker games to improve collusion detection accuracy by 40% \- Built an NLP\-to\-SQL pipeline on AWS Bedrock with RAG\-based retrieval, accelerating analyst query time 20x \(60 min → under 3 min\)

Data Science Intern at WinZO, May 2024 \- Jul 2024 · 3 mos, Delhi, India, \- Developed a novel device fingerprinting algorithm to uniquely identify and mitigate referral and collusion fraud, achieving 99\.8% accuracy across a user base of 175 million\+ using Gradient Boosting models \(LightGBM\) \- Ideated and built a custom web scraper on Android documentation to collect GDPR\-compliant device\-specific identifiers, feeding the fingerprinting pipeline

## Education

BTech, Computer Science and Engineering, Indian Institute of Technology, Madras

High School, Maharishi Vidya Mandir Senior Secondary School

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

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