# Ronil Pancholia > Google | NC State | BITS Pilani Location: San Francisco Bay Area, United States Profile: https://flows.cv/ronil I am currently on the Pixel AI team building next-gen AI Agents for Pixel Smartphone. 2025 - Magic Cue for Dialer in Pixel 10 Previous: * Generative Media in Labs @ Google. * Google Maps Machine Perception team / Machine Intelligence I finished my Master's in Computer Science from NC State University in December 2019. I am passionate about Applied Machine Learning - Computer Vision and Natural Language Processing (NLP). I have experience in working with Deep Learning on classification tasks on social media, real-world and medical imagery. I also have experience in building large, scalable and maintainable systems. I am proficient in C++, Java and Python and have prior experience in working with C, *nix, MongoDB, ElasticSearch, Kafka, NLTK, PyTorch, Keras, Tensorflow, Caffe, Numpy and Pandas. ## Work Experience ### Software Engineer @ Google Jan 2020 – Present | Mountain View, California, United States Pixel AI team Building next-gen AI Agents for Pixel Smartphone Built Magic Cue for Dialer in Pixel 10 Previous: * Generative Media, Labs @ Google https://aitestkitchen.withgoogle.com/ * Geo Machine Intelligence Models (aka Geo Machine Perception) / Geo ML Repos, Google Maps ### Graduate Research Assistant @ North Carolina State University Jan 2019 – Jan 2019 | Raleigh Laboratory for interpretable Visual Modeling, Computing and Learning (iVMCL) Worked on interpretable models for Visual Question Answering task. ### Software Engineer Intern @ Google Jan 2019 – Jan 2019 | Mountain View, California Google Maps Machine Perception team. Worked on building a Deep learning based Computer Vision model for Optical Character Recognition from Street View imagery. ### Graduate Teaching Assistant @ North Carolina State University Jan 2019 – Jan 2019 CSC 591 - Algorithms for Data Guided Business Intelligence. ### Software Development Engineer II @ Polymorph Jan 2018 – Jan 2018 | Bengaluru Area, India Acquired by Walmart in April 2019. • Accomplished an increase of approximately 3-3.5x net-revenue across multiple publishers by creating Regression models for floor price prediction in real-time bidding auctions for advertisement requests. • Implemented regression estimators in TensorFlow with a custom loss function based on second price auctioning and a heuristic based custom optimizer to predict floor prices for publishers with a sparse bid density. • Implemented a One-Shot Learning algorithm to predict floor prices for publishers with a dense bid density. ### Product Engineer - Machine learning @ Sprinklr Jan 2016 – Jan 2018 | Gurgaon, India 2021 IPO • Object Localization - Trained in-house computer vision models for visual sentiment, gender, age and logo detection from images and videos. To achieve high throughput, implementation was done using Region Proposal Networks algorithms like Faster-RCNN and SSD. • Fine Tuning - Applied Transfer learning to improve pre-trained image classification models for nudity filtering and object detection built on Residual Networks by tuning for social media images. • Auto Scaling Framework - Developed a dockerized auto-scaling python-based framework for text and image classification. It works over a stream of data published to Kafka through java clients. Each classification model acts as a consumer group and thus can be auto-scaled based on lag in Kafka queue. Integrated the machine learning framework with Sprinklr platform and it is now used to serve over 1200 Sprinklr clients. • Scalability – Utilized Kafka, MongoDB, Elasticsearch, Keras, Caffe, TensorFlow, Scikit-learn to run various classification models over 500 million social media messages per day from various sources such as Twitter, Facebook, and Instagram. ### Software Developer Intern @ NVIDIA Jan 2016 – Jan 2016 | Hyderabad Area, India • Modularized client-server communication architecture for GameStream, a C++ based service for streaming AAA games from a local or a cloud-based server onto a handheld shield gaming device in real time. • Developed a plugin for sending messages across networks to pair a shield client device to a server, optimizing streaming of games. ## Education ### Master of Science - MS in Computer Science North Carolina State University ### Bachelor's degree in Information Systems Birla Institute of Technology and Science, Pilani ## Contact & Social - LinkedIn: https://linkedin.com/in/ronil-pancholia --- Source: https://flows.cv/ronil JSON Resume: https://flows.cv/ronil/resume.json Last updated: 2026-03-29