# Jahanvi Kolte > Software Engineer at Google | Machine Learning Location: San Francisco Bay Area, United States Profile: https://flows.cv/jahanvi Hey! I am Jahanvi Kolte, an avid stargazer who got her Master's degree in Computer Science from Cornell University. Through my career in research, machine learning, self-driving, and an investment bank, I have had the opportunities to explore the fields of Deep Learning, Data Science, Software Engineering, Business Intelligence, Data Warehousing, and Full Stack Development. I try to fill the remaining blank pages of my personal time with the indelible ink of traveling experiences. My motto in life is to keep spreading smiles and what keeps me going every day is the excitement that I will learn something new that day. I am passionate about solving challenging problems that make a difference in this world. Please reach out to me at jahanvi1612@gmail.com if you would like to discuss any interesting opportunities. ## Work Experience ### Software Engineer @ Google Jan 2021 – Present ### Software Engineer, Machine Learning @ Aurora Jan 2021 – Jan 2021 Working on Autonomous Vehicle Project ### Software Engineer, Machine Learning @ Uber Advanced Technolgies Group Jan 2019 – Jan 2021 Working on Autonomous Vehicle Project ### Machine Learning Researcher | Autonomous Systems Lab @ Cornell University Jan 2018 – Jan 2018 - Being mentored by Prof. Hadas Kress-Gazit, Prof. Mark Campbell and Prof. Kilian Weinberger. - Working on Autonomous Mini Robotic Cars for AI Driving Olympics Competition (NIPS conference). - Implemented Parameter-Efficient neural networks for Imitation Learning on Autonomous Driving (Duckiebots). - Implemented Real time Object Detection (using Intel Movidius NCS and Raspberry Pi). ### Graduate Teaching Assistant - Artificial Intelligence @ Cornell University Jan 2018 – Jan 2018 | Ithaca, New York Area - Selected by Professor Bart Selman to serve as a TA for his lecture and project based course CS 4700 – Foundations of Artificial Intelligence, and to mentor a class of 280 students. - Responsibilities include holding office hours, grading individual assignments to ensure that students understand the AI principles. - CS 4700 Course Description: Challenging introduction to the major subareas and current research directions in artificial intelligence. Topics include knowledge representation, heuristic search, problem solving, natural-language processing, game-playing, logic and deduction, planning, and machine learning. ### Software Engineering Intern @ Uber Advanced Technologies Group Jan 2018 – Jan 2018 | Pittsburgh, Pennsylvania - Worked on the Autonomous Vehicle Project - Developed web app (React, Redux, Node.js) features that streamlines real-time error resolution and review process for Autonomous Vehicle Maps ensuring machine map quality and accelerated delivery. - Benchmarked AWS Lambda and Amazon EC2 (with gRPC service) for automated policy checks on machine maps. ### Sr. Technology Associate @ Morgan Stanley Jan 2017 – Jan 2017 | Mumbai Area, India - Developed numerous Big Data solutions using Hadoop, Hive, Sqoop, Spark, DB2, Informatica that generated revenue, reduced risk and minimized cost. - Developed a full stack solution to facilitate complex client pricing summaries (at different granular levels) in the form of pdfs, excels and power point presentations with highly curated content with 95% reduction in response time and saving 20 man-hours per report. - Also worked on some non-funded self-motivated initiatives that streamlined interaction summary generation process reducing room for error and improving team efficiency by 97%. - Mentored three graduates for design and development of a market sentiments alerting system using Spark, Kafka, Hadoop, Hive, Scala - Participated in Morgan Stanley's Giving Back initiative to raise funds for underprivileged children ### Technology Associate @ Morgan Stanley Jan 2016 – Jan 2016 - Developed a model in R to recommend research documents based on document type and user profile. - Developed numerous Big Data solutions using Hadoop, Hive, Sqoop, Spark, DB2, Informatica that generated revenue, reduced risk and minimized cost. - Developed numerous Business Intelligence Solutions using Adobe Campaign, SAP Business Objects, Informatica, DB2, Shell scripts - Also worked on some non-funded self-motivated initiatives that performed hygiene checks for system, archived important data and sent summaries which improved the team efficiency by 90% - Participated in Morgan Stanley's Giving Back initiative to raise funds for underprivileged children ### Technology Analyst @ Morgan Stanley Jan 2015 – Jan 2015 | Mumbai Area, India - Successfully completed Wall Street awarded best training program - Technology Analyst Program by Mallon Associates ### Intern @ Morgan Stanley Jan 2015 – Jan 2015 | Mumbai - Implemented an ergonomic web app to support Central Repository in Morgan Stanley Investment Management with improved response time, modular design and extensible framework using ExtJS, CXF Java Services, Spring Framework, and Sybase - Served as technical mentor for two summer interns - Participated in Morgan Stanley's Giving Back initiative to raise funds for underprivileged children ### Machine Learning Research Fellow Intern @ University of Southern California Jan 2014 – Jan 2014 | Los Angeles - Worked on LA DWP Smart Grids Project - Data Science Lab - Selected as one of 30 top students from Indian Universities by the Indo-US Science and Technology Forum (IUSSTF) and Viterbi School based on GPA and other criteria for intensive research work with eminent Viterbi School faculty. - Published a research paper titled 'Big Data Analytics for Demand Response: Clustering Over Space and Time' which was presented at IEEE Big Data Conference 2015 ## Education ### Master's degree in Computer Science Cornell University Jan 2018 – Jan 2018 ### Bachelor of Technology (BTech) NIRMA UNIVERSITY Jan 2011 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/jahanvi-kolte --- Source: https://flows.cv/jahanvi JSON Resume: https://flows.cv/jahanvi/resume.json Last updated: 2026-03-22