# Divya Prakash > Founding Engineer | Parley (YC S24) | BITS Pilani '20 Location: San Francisco Bay Area, United States Profile: https://flows.cv/divyaprakash Experienced Software Engineer with strong background in programming, computer systems, probability theory, stochastic models, time-series predictive models. I'm interested in building low latency, scalable software systems with applications in simulation-to-real pipelines, predictive technologies for complex, noisy and expensive objective functions, control systems and more, leveraging cutting-edge algorithms, and customized Machine Learning models. ## Work Experience ### Founding Engineer @ Parley (YC S24) Jan 2025 – Present | San Francisco Bay Area ### Founding Engineer @ Stealth Startup Jan 2024 – Jan 2025 • Led initiative to scale organizations core infrastructure and software development lifescycle using AWS Lambda, EventBridge, Sagemaker and Step Functions to ensure scalability and limited fault tolerance • Proposed and developed a low-latency Python based data pipeline that served content to global users using S3, EC2, and PostgreSQL ### Graduate Student Researcher @ ASU Neuromuscular Control and Human Robotics Laboratory Jan 2022 – Jan 2024 | Tempe, Arizona, United States • Developed an impedance controller using ROS, C++, Python, PyTorch, Scikit-Learn, Pandas, and Fast Robotic Interface (FRI) that enhances overall performance of coupled human-robot systems by utilizing Autoregressive Neural Network for future coupled state predictions. Deployed and tested it on a 7-DOF KUKA LBR iiwa820 robotic arm. • Implemented state machines using Python library SMACH to execute complex robot behavior, drive the experiment protocol and explicitly control state transitions across the entire ROS framework. • Developed alternate prediction methods traditionally used in pHRI like circle fitting and linear fitting to emphasize the robustness and accuracy of the proposed controller. The controller and framework achieved a 25% increase in stability and 40% increase in overall performance, quantified by overshoot, mean speed, smoothness, user effort and restoring force. ### Graduate Student Assistant @ Arizona State University Jan 2023 – Jan 2023 | Tempe, Arizona, United States • Assisted Dr Hyunglae Lee (Spring '23) and Dr Wanxin Jin (Fall '23) in conduting Robotics and Autonomous System core course MAE 547 Modelling and Control of Robots ### Senior Software Engineer @ HSBC Jan 2022 – Jan 2022 | Pune, Maharashtra, India • Spearheaded global upgrades of commercial payment orchestration system’s microservices by implementing API rate limiters, message queues to ensure reliability, scalability and high throughput using Python, Java, SQL, JavaScript, GCP, BIS. • Led initiative as Subject Matter Expert of payment microservices and applications to optimize AppDynamics-hosted applications, reducing thread consumption by 60% and log file sizes by 50% across all applications and services. ### Software Engineer @ HSBC Jan 2020 – Jan 2022 | Pune, Maharashtra, India • Developed hierarchical payment file mapping and validation microservices leveraging Python, MySQL, Docker and Kafka to handle traffic surges and ensure reliability • Improved visibility into payment processing for commerical partners like Amazon and Walmart by developing and exposing payment status API endpoints. • Conceptualized and implemented a new organization-wide health monitoring platform using Grafana and Prometheus, tracking critical node metrics. ### Product Intern @ SKODA India Jan 2019 – Jan 2019 | Mumbai, Maharashtra, India ### Analytical Engineer @ Forbes Marshall Jan 2018 – Jan 2018 | Pune, Maharashtra, India ## Education ### Master of Science - MS in Artificial Intelligence Arizona State University ### Bachelor of Engineering - BE in Mechanical Engineering Birla Institute of Technology and Science, Pilani ## Contact & Social - LinkedIn: https://linkedin.com/in/divya-prakash-033dp --- Source: https://flows.cv/divyaprakash JSON Resume: https://flows.cv/divyaprakash/resume.json Last updated: 2026-04-05