Vaibhav Magon
VP Of Engineering at Acko
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolVaibhav Magon is a seasoned engineering leader with 11 years of experience building and scaling high-impact consumer and fintech platforms from early-stage startups to unicorns. Currently VP of Engineering at Acko, he previously led engineering as a founding member at CheQ where he ran a 60+ cross-functional org, processed 40M+ transactions, and architected GenAI-powered features like India’s first Credit Card Assistant. He has a strong track record of shipping large-scale distributed systems, end-to-end data and ML pipelines, and security and compliance programs (PCI/DSS, ISO) that support billions in topline. Vaibhav blends hands-on technical execution — Kubernetes, AWS, NodeJS, streaming, OCR/ML — with product-led leadership, having built APAC teams for Twin and product platforms at TradeIndia and Goibibo. A founder himself (Askmonk), he combines growth-stage product instincts with operator discipline and a bias for building deterministic, measurable systems. Colleagues describe him as a pragmatic builder who brings technical depth to business outcomes and a knack for turning complex ML and infra problems into production-ready features.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 8.0, Bachelor of Technology - BTech, Computer Science, 8.0 at Sir Padampat Singhania University
English, Hindi, Punjabi
Stackoverflow
1,473reputation
390kreached
48answers
18questions
Github Skills (84)
facebook-ads10
spam-filtering10
crossover10
ads10
classification10
adminjs9
kafka-consumer9
auction9
python9
sms9
loopback9
facebook9
collaborative-filtering9
spark-streaming9
machine-learning-algorithms8
Programming languages (7)
Github contributions (5)
vaibhavmagon/Kafka-Spark-Product-Recommendation
Sep 2020 - Oct 2021
Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥
Contributions:20 commits, 2 PRs, 22 pushes in 1 year 1 month
collaborative-filteringecommercekafkapythonrecommendation-engine
vaibhavmagon/Bullseye
Apr 2015 - Nov 2017
Contributions:1 PR, 19 pushes, 2 branches in 2 years 7 months
agileagile-developmentmilestone
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