# Shayak Banerjee > Machine Learning Engineer at Meta Location: New York, New York, United States Profile: https://flows.cv/shayak Powering personalization of fitness content. Leading a team of Machine Learning engineers to architect a platform for generating recommendations at scale. ## Work Experience ### Software Engineer, Machine Learning - Reality Labs @ Meta Jan 2024 – Present | New York, United States ### Tech Lead Manager @ Peloton Interactive Jan 2022 – Jan 2024 | New York City Metropolitan Area Laying the foundations of recommendations to power member fitness journeys ### Machine Learning Tech Lead @ Peloton Interactive Jan 2020 – Jan 2024 | New York City Metropolitan Area Personalizing the fitness experience across different platforms for all Peloton users ### Staff Machine Learning Engineer @ Meetup Jan 2019 – Jan 2020 - Training, deploying and productionizing models for recommendation - Architecting a platform for generating and serving recommended content to Meetup users at scale - Leading the ML team with project selection, architectural decisions and overall guidance on the tech stack - Building tooling for deployment and productionization of ML models - Building out better processes for operationalizing model-serving - Collaborating with product to ideate on and implement novel ML-driven product features ### Senior Machine Learning Engineer @ Meetup Jan 2018 – Jan 2020 | Greater New York City Area ### Machine Learning Engineering Lead @ Meetup Jan 2019 – Jan 2019 ### Engineering Manager @ Meetup Jan 2018 – Jan 2019 | New York, New York ### CTO @ Shade Jan 2015 – Jan 2020 | Greater New York City Area Building out the technology using machine learning algorithms - from smarter UV measurement using context sensing, to advanced calibration aided by mining years of UV spectral data. Architecting (and building parts of) the software infrastructure, from firmware to iOS & Android apps to a server application deployed on Google Cloud Services. Leading the software team to continuously improve the product through design and engineering iterations based on user feedback ### Data Scientist @ Samsung Accelerator Jan 2014 – Jan 2015 | Greater New York City Area A Bluetooth-based contacts app that remembers in-person meetings for the user. My role as a data scientist was to use Bluetooth signals to determine when two or more persons were meeting, and designating start and end times of such an event. I also did a large amount of development work, focused on generating (iOS/Android app) and storing such data (MongoDB). ### Data Science Advisor @ EvoLux Transportation, LLC. Jan 2013 – Jan 2015 | Greater New York City Area Building pricing models for the helicopter ride-sharing industry by mining years of past flight information ### Research Scientist @ IBM Research Jan 2010 – Jan 2014 | East Fishkill, NY I worked on a few different machine learning / optimization projects, mostly centered around the lithography process and defects caused be it. - Building machine learning classifiers on geometric patterns to predict manufacturing defects prior to actual manufacturing - Development of software and algorithms for lithographic target optimization - Architecting a Pattern Database, with adjunct views for storage / organization of layouts - Development of application software for fast Monte-Carlo sampling to predict defects with fewer simulations ### Postdoctoral Fellow @ IBM Research Jan 2010 – Jan 2010 Developing methods for electrically-driven target optimization. ### Technical Co-op @ IBM Research Jan 2008 – Jan 2010 Working part-time at IBM while pursuing a fulltime Ph.D. at Uinv. of Texas - Austin. My research is in design for manufacturability (DFM) applications, mostly focused on jointly optimizing mask and target for improved robustness to process variability ## Education ### Ph.D in Electrical and Computer Engineering The University of Texas at Austin ### Master of Science in Engineering, Electrical Engineering The University of Texas at Austin ### Bachelor of Technology (B.Tech.) in Electronics and Electrical Communication; Engineering Indian Institute of Technology, Kharagpur ## Contact & Social - LinkedIn: https://linkedin.com/in/shayakb --- Source: https://flows.cv/shayak JSON Resume: https://flows.cv/shayak/resume.json Last updated: 2026-04-05