Kunal Kishore is a Machine Learning Engineer II at Moloco and a UCLA MS candidate in Electrical and Computer Engineering, specializing in signal processing and machine learning. He brings 12 years of engineering experience, including four years as a Lead Software Developer on networks at Samsung, where he worked across 5G and LTE physical and MAC layer systems. At Moloco he progressed from an NLP-focused internship optimizing feature embedding initialization for real-time bidding to a production ML engineer role, blending advertising systems knowledge with rigorous ML foundations. His strong academic record (IIT Madras BTech, UCLA MS GPA 3.97/4) complements hands-on experience building predictive systems informed by signal-processing principles. Kunal’s background uniquely positions him to bridge low-level communications expertise and scalable ML solutions for latency-sensitive applications. He’s quietly focused on translating research-grade methods into robust, real-time production pipelines.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
MS, Electrical and Computer Engineering - Machine Learning, 3.97/4, MS, Electrical and Computer Engineering - Machine Learning, 3.97/4 at University of California, Los Angeles
Contributions:29 pushes, 1 branch, 1 tag in 6 years 5 months
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Kunal Kishore - Machine Learning Engineer II at Moloco