Summary
Abhishek is a data scientist with nine years of experience building ML-driven products and production pipelines across recommender systems, NLP, computer vision, and optimization. He has shipped high-impact solutions—such as a fraud detection system for 8,000+ traffic partners and a dynamic recommender achieving a 0.67 hit-rate on the MIND benchmark—while working end-to-end from model development to product integration. His background spans startups and open source contributions (including fixes to scikit-learn and Microsoft MARO), reflecting both pragmatic engineering and community-minded problem solving. He applies advanced optimization techniques (NSGA-II, genetic algorithms, Mobopt/Pymoo) to experimental design and R&D workflows, bridging algorithmic research and applied business value. Now at McKinsey & Company, he brings a track record of turning ML experiments into reliable production systems and improving revenue, engagement, and content curation through data-informed decisions. Notably, he pairs strong hands-on model engineering with experience in mentoring and creating learning content, signaling a penchant for scalable knowledge transfer.
9 years of coding experience
4 years of employment as a software developer
BTech - Bachelor of Technology Computer Science and Engineering, BTech - Bachelor of Technology Computer Science and Engineering at Shri Mata Vaishno Devi University
All India Senior School Certificate Examination PCM with Informatics Practice, All India Senior School Certificate Examination PCM with Informatics Practice at The Pentecostal Assembly School
English, Hindi