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Sakthi Vignesh

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

Chennai

1+ year of work experience

WinZO
Jun 20251 yr 3 mosPresent

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)
WinZO
May 20243 mosJul 2024

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

Sakthi’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
obsidian
obsidian

Education

Indian Institute of Technology, Madras

BTech, Computer Science and Engineering

Indian Institute of Technology, Madras

20214 yrs2025
Maharishi Vidya Mandir Senior Secondary School

High School

Maharishi Vidya Mandir Senior Secondary School

20192 yrs2021

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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

Sakthi Vignesh - Data Science and ML Software Engineer in Chennai | Tal