Divya Prakash Email & Phone Number
Who is Divya Prakash? Overview
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Divya Prakash is listed as Founding Engineer at Parley (YC S24), a company with 10 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Divya Prakash.
Divya Prakash previously worked as Founding Engineer at Stealth Startup and Software Engineer - Backend & ML at Lily And Fox. Divya Prakash holds Master Of Science - Ms, Artificial Intelligence from Arizona State University.
Email format at Parley (YC S24)
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About Divya Prakash
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. I have graduated from BITS Pilani as a Mechanical Engineer, and I am currently pursuing a Master's in Artificial Intelligence and Robotics at ASU. I have 2 years of professional experience as a Senior Software Engineer at HSBC Technology where I developed low latency, scalable payment orchestration platforms. I am currently working as a Graduate Student Researcher at the Neuromuscular Control and Human Robotics Lab where I am utilizing autoregressive neural networks and Bayesian optimization to predict stochastic human movement for our KUKA Robot, thereby enhancing physical human robot interactions.
Listed skills include Mathematics, Product Marketing, Programming, Matlab, and 8 others.
Divya Prakash's current company
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Divya Prakash work experience
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Founding Engineer
Current- 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
Software Engineer - Backend & Ml
- Joined as a founding engineer, developing our warehouse automation systems using Computer Vision, Segment Anything Model (SAM), Python, PyTorch, CUDA, Flask, PostgreSQL.
- Engineered our product management pipeline using Javascript, GraphQL, Google Cloud Platform (GCP)
Graduate Student Researcher
- 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.
- 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%.
Graduate Student Assistant
- 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
- 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.
- 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.
Software Engineer
- 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 Marketing Intern
Analytical Engineer
Divya Prakash education
Master Of Science - Ms, Artificial Intelligence
Bachelor Of Engineering - Be, Mechanical Engineering
Frequently asked questions about Divya Prakash
Quick answers generated from the profile data available on this page.
What company does Divya Prakash work for?
Divya Prakash works for Parley (YC S24).
What is Divya Prakash's role at Parley (YC S24)?
Divya Prakash is listed as Founding Engineer at Parley (YC S24).
Where is Divya Prakash based?
Divya Prakash is based in San Francisco Bay Area, United States, United States while working with Parley (YC S24).
What companies has Divya Prakash worked for?
Divya Prakash has worked for Parley (Yc S24), Stealth Startup, Lily And Fox, Asu Neuromuscular Control And Human Robotics Laboratory, and Arizona State University.
How can I contact Divya Prakash?
You can use AeroLeads to view verified contact signals for Divya Prakash at Parley (YC S24), including work email, phone, and LinkedIn data when available.
What schools did Divya Prakash attend?
Divya Prakash holds Master Of Science - Ms, Artificial Intelligence from Arizona State University.
What skills is Divya Prakash known for?
Divya Prakash is listed with skills including Mathematics, Product Marketing, Programming, Matlab, Java, Machine Learning, Data Science, and Deep Learning.
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