Mohit Agarwal
Machine Learning Engineer at Pocket FM
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMohit Agarwal is a Machine Learning Engineer with nine years of experience and a six-year focus on building large-scale, multimodal recommender systems and content-understanding pipelines. Based in Bengaluru, he has driven measurable engagement gains—most notably at ShareChat where his multimodal embedding work increased engagement, clicks, and video plays by up to 46% and introduced a candidate-generator initialization that lifted engagement by 16.5%. He has end-to-end production experience from low-latency feature extraction for 700K+ daily items to scalable training and serving (Airflow DAGs, ScaNN indexing) across multiple languages and signals. His background spans industry and research, from Jio’s cross-domain knowledge-graph recommendations and local-news personalization to biometric and media-analysis projects during his academic work. Comfortable bridging research and product, he has a track record of cutting moderation costs and duplicate content while designing evaluation strategies (A/B tests, multi-level metrics) that reduce contamination and surface actionable insights.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Technology - BTech with Honors Computer Science, Bachelor of Technology - BTech with Honors Computer Science at Indraprastha Institute of Information Technology, DelhiHigh School (CBSE AISSCE), High School (CBSE AISSCE) at Rukmini Devi Public School
Github Skills (10)
ffmpeg6
kodi5
cpython4
python4
python-scripts4
sec2
finance1
twitter1
google-app-engine1
gui-editor1
Programming languages (1)
Github contributions (5)
mohit-0212/Intro_Outro_Detection
May 2018 - Oct 2018
Detecting intros and outro sequences of TV shows. Work for Kodi for GSoC'18.
Contributions:32 commits, 7 PRs, 21 pushes in 4 months
kodi
mohit-0212/notrobro
Jul 2018 - Aug 2018
Contributions:22 pushes, 10 branches in 1 month
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