Himanshu Aggarwal is a Machine Learning Engineer III with eight years of experience building personalization and recommendation systems for media streaming platforms. He has a strong research-to-production track record—designing ranking engines, multi-armed bandit solutions, counterfactual evaluations, and novel cold-start reward functions that measurably improved engagement. Previously at Jio he developed personalized recommendation algorithms that improved performance by 47% and worked on content moderation using deep learning; at Glance he progressed from Data Scientist II to engineering end-to-end ML solutions. Academically grounded with an MTech from IIIT Delhi and research experience improving cross-modal retrieval SOTA, he enjoys blending mathematical modeling and neuroscience-inspired ideas into practical systems. He mentors aspiring data scientists and is particularly drawn to research-oriented personalization problems that bridge theory and real-world deployment.
8 years of coding experience
4 years of employment as a software developer
University of Delhi
Master of Technology - MTech, Computer Science Engineering, 8.15, Master of Technology - MTech, Computer Science Engineering, 8.15 at Indraprastha Institute of Information Technology, Delhi
High School, Computer Science, 94.5%, High School, Computer Science, 94.5% at Lancer's Convent
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Himanshu Aggarwal - Machine Learning Engineer III at Springboard