Discrete Optimization

Algorithms: Design and Analysis, Part 1

Stanford Introduction to Food and Health

Introduction to Corporate Finance

Better Leader, Richer Life

Statistical Learning

Machine Learning

Data Analysis and Statistical Inference

TensorFlow in Practice Specialization

Algorithms: Design and Analysis, Part 2

Joined as a founding engineer in the Software and Data Systems team (3rd FTE). 
Part of the core team that built and iterated on the (first of its kind) Operating System to run an automated indoor vertical farm.

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Specific highlights:
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• Built a data service that is the backbone of all the telemetry data from environment sensors in Plenty farms. This data drives irrigation, nutrients, light schedules, and alerts. A controlled environment to enable optimal crop growth is a key value proposition of Plenty.

• Built a cloud-based reactive behavior automation system to orchestrate a heterogeneous set of robots. This software generates tasks to achieve production goals across multiple manufacturing lines on the farm. The design supports ”human in the loop” paradigm for error recovery.

• Developed, patented and deployed a machine learning model to optimize a production plan for different crops in a farm, based on environment gradient

Staff Software Engineer - Software and Data Systems

Part of a stellar team to build a (first of its kind) data platform that supercharges data practitioners and data-driven teams to unlock insights from image and video data like never before.

Founding Engineer

Technical Advisor

• First employee, founding member for a consumer start-up in the AI fund incubator. 
• Conducted user research, product development, content for the MVP.
• Designed and implemented an MVP of a conversational agent for health and wellness.
• Refined the product from user feedback and interviews.

• Ported an architecture simulation framework to enable evaluation of the next generation GPUs.
• Wrote bring-up tests for a new feature in the next generation GPU.
• Developed a tool to translate application traces into unit tests that run on RTL.
• Worked on an instrumentation tool that captures GPU processor state for performance studies.

GPU Architecture Engineer

The goal was to transform research from the lab into a start-up. Evaluated several research ideas through the loop (market research > user interviews > rapid prototyping > product development > user feedback > product development). Most of these were consumer products in the healthcare domain.

Volunteer Research Assistant

2nd FTE as a Data Science and Algorithms Engineer
Data science / statistical methods / machine learning algorithms to improve personalization in E-commerce.
• A core developer (one of the first 3 engineers) of Attune's personalization as a service platform. This system procured data from clients, applied personalization algorithms, and billed clients using A/B test results.
• Co-designed the data ingestion framework supporting multiple customers.
• Developed personalization algorithms using collaborative filtering and matrix factorization.
• Developed a continuous A/B testing/billing tool to measure Attune's impact on a customer's business.

• Part of the architecture design team that created the first general purpose programmable graphics accelerator core built by NVIDIA for mobile devices (Tegra).
• Debugged complex workloads (e.g. Cuda Nested Parallelism uScheduler, computer vision, OpenGL shaders, etc) on a full chip simulator involving multiple interacting units.
• Evaluated new features and ISA changes using simulator modeling and designing directed performance tests. This system was used to evaluate the RTL design and performance bottlenecks.
• Implemented architecture and simulator support for precise exceptions.

Sudnya Diamos

Enabling humans & machines to work together effectively