Harshit Saxena
Lead Data Scientist
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolHarshit Saxena is a Lead Data Scientist in Mumbai with 10 years of experience building production recommender systems and personalization at scale for Indian e-commerce and content platforms. He has driven end-to-end ML solutions at Meesho and Trell—from cold-start frameworks using CLIP and vector search to GBDT and neural rankers that improved retention and engagement across vernacular audiences. At Fractal he delivered revenue-impacting piracy detection models and automated ML pipelines, blending NLP, unsupervised attribution, and operational deployment with Jenkins/Oozie. Trained at IIT Madras, he combines strong research roots with hands-on engineering and a track record of running rigorous A/B experiments and mentoring teams. Notably, he has reduced time-to-view for new content through custom recommender math and integrated OpenAI-style embeddings into content seeding—showing a focus on practical, growth-oriented ML engineering.
10 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology MadrasXI and XII class Science, XI and XII class Science at Step by Step High schoolX class Physical Sciences, X class Physical Sciences at The Rajasthan School
English, Hindi
Github Skills (7)
animation7
video-editing7
video-processing6
editing6
python6
gif6
ffmpeg4
Programming languages (2)
Github contributions (5)
harsh1795/CNN-DICOM-Segmentation
Jun 2017 - Feb 2018
Contributions:37 commits, 25 pushes, 1 comment in 8 months
harsh1795/Hackathons
Feb 2017 - Jan 2021
Contributions:211 commits, 186 pushes, 3 branches in 3 years 11 months
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