# Tushar K > Software Engineer at Nimble Robotics Location: San Francisco, California, United States Profile: https://flows.cv/tushark Currently working as a Software Engineer at Nimble Robotics. Graduated with my Master's in Computer Science from USC where my research was focused on optimizing throughput of Reinforcement Learning based training systems and coordinated quadrotor behaviors at the Robotic Embedded Systems Lab. I have worked on creating Financial trading strategies, developing and deploying Full-stack architectures and utilizing Reinforcement Learning for the fields of Finance and Fleet Optimization. I also worked on the field of Computer Vision in developing products centered on OCR and Drone Navigation with CNN's enhanced by GAN based preprocessing. ## Work Experience ### Software Engineer @ Nimble Robotics Jan 2021 – Present | San Francisco Bay Area ### Research Assistant @ Robotic Embedded Systems Lab Jan 2019 – Jan 2021 | Los Angeles ● Worked on a high-throughput training system that optimizes efficiency and resource utilization of Reinforcement Learning algorithms by up to 20% across games and simulations than the state-of-the-art systems (accepted at ICML 2020). ● Research was based on applying on-policy Reinforcement Learning algorithms to control a swarm of Quadrotors. ● Built a faster alternative to Python multiprocessing queue and also worked on CI pipelines for ML Research Projects. ● Worked in tandem with the Autonomous Vehicle Lab at USC on Navigation and Path Planning for an autonomous car to participate in IGVC 2020. ### Software Engineer Intern @ Surge AI Jan 2021 – Jan 2021 | Remote ● Worked on designing and developing a platform that makes it easy to get high-quality training data for Machine Learning models at scale. ● Researched on integrating Machine Learning to automate certain Q&A capabilities. ### Data Analyst, University Advancement @ University of Southern California Jan 2020 – Jan 2021 | Los Angeles, California, United States ● Optimizing and writing SQL Queries to fetch data for various internal analytical purposes. ● Using Cognos And Salesforce to generate Business Intelligence reports enhancing Fundraising and Donor campaigns. ### Graduate Research Assistant @ Information Sciences Institute Jan 2020 – Jan 2021 | Los Angeles, California, United States ● Worked as a part of the Steel Security Research Lab on an application called DEW (Distributed Experiment Workflow) that aids information security researchers in running experiments on multiple testbeds via a Distributed setup. ### Forward Deployed Engineer @ Curl Jan 2017 – Jan 2019 | Bengaluru Area, India ● Designed and developed full-stack architectures for more than 5+ products as a part of a two-member team using Python, Angular, and MongoDB. ● Spearheaded the development of real-time financial backtesting frameworks using Redis and WebSockets for trade systems. ● Created and deployed trading strategies for the Indian Equity derivatives market that had consistent daily returns of 2-3% and also for the US equities market on the CloudQuant platform that received an initial capital of $5 million. ● Created ML-based trading strategies using XGBoost and Outlier Detection models with research focusing on developing strategies using Multi-Agent Reinforcement Learning with Policy Gradients. ● Built a proof of concept to increase the fuel efficiency of garbage trucks by 15% for a client using Combinatorial Optimization and Reinforcement Learning based on Constrained Policy Optimization. ● Worked on Drone-based Image Processing solution for road quality detection and traffic counting using Deep Learning with the YOLO algorithm which achieved an accuracy of 84%. ● Built a Computer Vision-based OCR system for document processing which had a Generative Adversarial Network(GAN) for preprocessing and achieved an accuracy of 80%. ### Senior Software Engineer @ Societe Generale Global Solution Centre Jan 2016 – Jan 2017 | Bengaluru, Karnataka, India ● Optimized the web application of the Coverage & Investment Risk team by building a new loan processing framework using Java and Angular that reduced processing time by 30%. ● Piloted the development of a chatbot framework with the architecture team which reduced the number of queries to the HR team by 25%. ● Developed a Deep Learning-based text summarization proof-of-concept using LSTM which generated reports of companies' performance to reduce the workload of analysts and saved $25 million. ### Intern @ Robert Bosch Engineering & Business Solutions Jan 2016 – Jan 2016 | Bengaluru Area, India ● Developed an application that automatically detects inconsistencies in SI unit names of product design documents. ## Education ### Master's degree in Computer Science University of Southern California ### Engineer’s Degree in Computer Science Bangalore Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/tushartk --- Source: https://flows.cv/tushark JSON Resume: https://flows.cv/tushark/resume.json Last updated: 2026-04-05