# Anish Shenoy > Tech Lead / Staff MLE at Google Location: Sunnyvale, California, United States Profile: https://flows.cv/anishshenoy I am broadly interested in machine learning, computer vision and natural language processing. I am currently a Machine Learning Engineer at Google working on Gemini based LLMs for Shopping Ads Relevance. My team’s work has been recognized with a Google Tech Impact award. I enjoy tackling interdisciplinary problems using a diverse skillset spanning computer vision, deep learning, statistics and applied math. I am proficient in C++ and Python, and have worked with Pytorch, Tensorflow, Keras and Chainer. ## Work Experience ### Staff Software Engineer @ Google Jan 2021 – Present | Mountain View, CA Tech Lead, Shopping Ads Relevance LLMs Build SOTA models to predict the relevance of Shopping Ads shown on Google.com Google Tech Impact Award for developing Gemini based LLMs for Relevance. ### Data Scientist @ Intel Corporation Jan 2017 – Jan 2021 | Portland, Oregon Area - Performed numerical modeling, computational simulation and correction algorithm development for optimizing virtual photomasks using computational lithography. - Used predictive modeling, statistics, machine learning, and other data analysis techniques to collect, analyze, and visualize large datasets using a proprietary data pipeline and HPC infrastructure. - Awarded a Distinguished Invention Award by Intel for developing a new OPC algorithm. - Filed a patent for a ML based technique to optimize via placement in integrated circuits. ### Graduate Research Assistant @ University of Illinois at Urbana-Champaign Jan 2012 – Jan 2017 Ph.D. Thesis Research: Multiplexed particle manipulation using microfluidics * Apply nonlinear model predictive control techniques for hydrodynamic trapping of micro and nanoparticles. Implement efficient particle tracking and control algorithms in C++, Labview, and Matlab. * Research highlighted on Nature Physics and University blog. * 3rd Prize, Langmuir Presentation Award Session, ACS Colloid & Surface Science Symposium, Harvard University 2016 * Best Speaker Award, CPLC/Biophysics Graduate Student/Postdoc Symposium, UIUC 2016 * Best Presentation, Particle and Droplet Manipulation Session, AIChE Annual Meeting 2015 * $20000 FMC Educational Fund Fellowship, UIUC 2014 ### Computer Vision Intern @ Caterpillar Inc. Jan 2016 – Jan 2016 • Implemented machine learning and computer vision algorithms using Python, OpenCV and Scikit-Learn to build a framework for detecting tool failure in Caterpillar’s earth digging equipment using dashboard videos • Performed data annotation and cleaning, outlier detection and trajectory-based filtering on noisy data for improving the performance of the detector, and filed a patent application based on this project ### Summer Research Fellow @ UC Berkeley Jan 2011 – Jan 2011 | San Francisco Bay Area Summer Research Fellowship at UC Berkeley, working with Prof. Rich Mathies's research group. Fabricated and optimized a multilayer glass microfluidic 4x4 microvalve array using photolithography, and successfully demonstrated on-chip labeling for rapid compositional analysis of bioassays with low biomolecular sample concentrations ### JNCASR Summer Research Fellow @ Indian Institute of Technology, Bombay Jan 2010 – Jan 2010 | IIT Bombay Part of a cohort of 120 undergraduate students selected across India to perform research under the supervision of eminent researchers across the country. Performed linear inviscid analysis of a shock wave interacting with isotropic turbulence, derived equations from the solutions of Rankine-Hugoniot conditions, and wrote Fortran code to numerically solve these equations to study the energy spectra of the turbulence. ## Education ### Doctor of Philosophy - PhD in Mechanical Engineering University of Illinois Urbana-Champaign ### Bachelor of Technology (B.Tech.) (Honors) in Mechanical Engineering Indian Institute of Technology, Kharagpur ## Contact & Social - LinkedIn: https://linkedin.com/in/anishshenoy --- Source: https://flows.cv/anishshenoy JSON Resume: https://flows.cv/anishshenoy/resume.json Last updated: 2026-04-12