Sunil Mucesh

Machine Learning Scientist at Tripadvisor

Stony Stratford, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Sunil Mucesh is a Machine Learning Scientist with eight years' experience bridging academic rigor and product-focused ML, currently applied at Tripadvisor. He holds a PhD in Astrophysics and Machine Learning from UCL and has a track record of research-to-production work, from developing VAEMs for mixed-type generative modeling at Faculty to deploying classification and causal-inference analyses that informed content and subscription strategy at The Economist. Sunil’s strengths are causal inference, uncertainty quantification, and adapting probabilistic models (notably VAEs) to real-world, heterogeneous datasets, improving performance and integration into internal ML libraries. Comfortable moving between research and engineering, he also has domain experience in remote sensing and anomaly detection from an Earth observation internship, reflecting a knack for extracting signals from noisy, high-dimensional data. Based in Stony Stratford, UK, he combines deep technical depth with practical deployment experience across industry and academia.
code8 years of coding experience
job1 year of employment as a software developer
bookVilliers High School
bookUniversity College London
bookUxbridge College
bookRegent College
bookPhysics with Astrophysics MPhys, Physics, First Class Honours, Physics with Astrophysics MPhys, Physics, First Class Honours at University of Leicester
languagesEnglish, Japanese, Hindi, Gujarati
github-logo-circle

Github Skills (4)

algorithm6
random-forest5
python4
machine-learning4

Programming languages (1)

Python

Github contributions (5)

github-logo-circle
smucesh/galpro

Jun 2020 - Mar 2022

Galpro is a novel Python machine learning code based on the Random Forest algorithm for estimating multivariate posterior probability distributions of galaxy properties (e.g. redshift, stellar mass, star formation rate, metallicity).
Contributions:68 commits, 67 pushes, 2 branches in 1 year 9 months
machine-learningpythonrandom-forest
smucesh/LearningPython

Sep 2018 - Sep 2018

Contributions:11 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial