Overview

Education

Prior to my Master’s program, I spent four years getting a Bachelor of Science degree in Computer Science, with a Mathematics minor at Colorado State University in Fort Collins. Within three semesters, I was lead Teaching Assistant for Java: Data Structures and Algorithms class where I led labs, managed new TAs onboard, designed assignments, administered tests, and developed automated grading processes. Next, I moved up to TAing for junior-level Introduction to Software Engineering class where I played an active role as a Scrum Master, assisting with fullstack Agile development of end-to-end React apps with optimized Java servers and an SQL database backend. After two semesters of that, I moved into a new role as a TA for the Operating Systems class, and had the opportunity to not only teach students key concepts like hardware resource management, context switching, process management, thread safety, and virtualization, but also design a final project with Docker containers and Kubernetes. Lastly, I shifted into an Undergraduate Research Assistant in Dr. Sangmi Pallickara’s Big Data Lab, where I worked with graduate students on an LSTM RNN model to analyze point clouds from LIDAR data. Throughout all four years, I tutored several students for the entire undergradate cirriculum, and graduateed with a 3.98 GPA in May 2020.

Beginning my Master’s program, I was given the opportunity to join the Pallickara’s Distributed Systems and Big Data lab under funding from the National Science Foundation. There I collaborated with several colleagues and our P.I. to ingest, shard, and load-balance publicly available geospatial and temporal datasets from vendors. These were multiple petabytes in size and hosted on over 150 servers, serving as ground truth for an environmental risk modeling service: Aperture. Towards the end of my program, I contributed to two research papers (see Published Research) to scientific computing conferences, backed by a publicly-accessible service for uploading PyTorch, Tensorflow, or Scikit-Learn models and seeing inference results as a geospatial heatmap at different administrative granularities (census tract, county, state). I graduated with a Master’s of Science degree with a 4.0 GPA in May of 2022.

Industry

My industry experience began in summer of 2019, as an intern at Ductus in Longmont, CO, where I worked on a production codebase for a subscription-based cellular streaming API for Verizon. During that time, I gained valuable experience refactoring models for the Spring Boot framework, optimizing unit tests in JUnit, and implementing RBAC and API access auditing. Summer of 2020 I landed an internship at Cray, Inc, which was just being acquired by HPE. Within a summer, I came up to speed on distributed object/block storage filesystems and helped design and implement a distributed service for managing Lustre filesystems and the underlying drives. Additionally, I created a tool for converting DMTF Redfish / SNIA Swordfish schemas into Go structs and constants. After completing my Master’s program, I was offered a full-time position at HPE, Inc as a Systems Software Engineer in the HPC Storage organization. Here I’ve had the opportunity to work on many projects, across several teams. Below are just a few highlights from experience at HPE, in order of oldest to newest:

Papers

Public Services and Open-Source Projects