• Owner of Vast's Autoscaler, a service to automatically scale and track customer application containers.

• Wrote asynchronous C++ server to simultaneously handle data input and manage resources with low latency.

• Designed Autoscaler server to be fault-tolerant and persistent on server crash with data-structure serialization.

• Implemented cascade structure with memory-mapped allocator for fast and persistent timeseries storage.

• Wrote web endpoints to query from and write to Postgres database in an efficient manner using indexes.

• Talked with customers about their LLM inference server needs and designed features around them such as metrics endpoints and informative error handling. Wrote intuitive CLI, docs, and guides for Autoscaler.

• Wrote concurrent and asynchronous python server to authenticate and benchmark requests to LLMs.

• Wrote C++ functions implementing MATLAB functions for Machine Learning model inference to improve MATLAB coding suggestions for production use. Used Visual Studio debugger and increased test coverage.

• Researched and wrote Competitive Analysis and Market Map PowerPoint for new software product.

• Conducted user interviews, wrote functional and architectural design, and implemented UI tool in MATLAB to facilitate Machine Learning model documentation. Used Jira for Agile development practices.

• Created PowerPoint presentation with illustrative diagrams explaining algorithm functionality to students.

• Implemented Deep Learning model for Computer Vision using Pytorch. Wrote scripts to unit test model, train model, and visualize model outputs, achieving state-of-the-art performance for keypoint detection.

• Productionized recursive matrix decomposition algorithm and made tests to ensure accuracy and performance.

• Designed Gaussian Process model for time series with training and inference script in Pytorch with tests.

• Used the AWS boto3 API to develop a data labeling pipeline with AWS SageMaker, EC2, s3, and Lambda to improve ML workflows for 10’s of users. Collected user feedback and implemented feature improvements.

• Wrote scripts for Infrastructure as Code processes and CI/CD in a Docker-like container for a cloud service