Sahil Manchanda is a Manager Data Scientist based in Delhi with a decade of experience blending academic rigor and product-focused ML. He completed a PhD at IIT Delhi working on machine learning on graphs and combinatorial optimization and has applied that expertise across industry roles—from research on recommender systems and language-model bias at Pocket FM to deep RL for combinatorial problems at NAVER Labs Europe. Sahil has a strong applied-research track record including an ACL publication, a granted patent from his time at Conduent, and internships at Qualcomm and The University of Tokyo that reflect a global research footprint. Now leading data science efforts at Mastercard AI Garage, he bridges research and productionization, turning graph and optimization insights into scalable solutions for real-world systems.
10 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master’s Degree, Computer Science and Engineering, 9.14/10, Master’s Degree, Computer Science and Engineering, 9.14/10 at Indian Institute of Technology, Guwahati
Bachelor’s Degree, Information Technology, 78.41 / 100, Bachelor’s Degree, Information Technology, 78.41 / 100 at University School of Information Technology, Delhi
High School, Science, 97% in All India Senior School certificate examinations., High School, Science, 97% in All India Senior School certificate examinations. at Faith Academy, CBSE
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