Hired as Hypernet’s second software engineer to work closely with the firm’s CTO on the design and development of the

company’s Galileo product. Galileo is used to simplify deployment and monitoring of simulations and data analysis on cloud,

HPC, or on-prem resources.

• Independently developed and maintained the Landing Zone (LZ) component of Galileo. The LZ manages job

executions and resource management. Written in Python 3, the code base grew from a small script to over 7000

lines of code.

• Acted as project manager for the design and development of a solution, built in collaboration with Exaion (subsidiary

of global F500 EDF), to support Singularity containers on Slurm HPC systems and enable sales of access to HPC

clusters via Galileo. Managed project from requirements through final demo, orchestrated with Exaion’s technical

team in France, led system design, assigned tasks, managed overall execution, and contributed code.

• Built CI/CD pipelines that leveraged multi-stage Dockerfiles, PyInstaller, Singularity containers, and CircleCI for

binary deployment on a wide array of architectures and platforms.

• Invented a dynamic software update feature for the LZ. This required development of several sub-features like job

backgrounding and job recovery protocols.

This was an internship I completed in concurrence with a full course load as part of the Silicon Valley Semester program at the Univ. of Notre Dame. Based on my performance during the semester the internship was extended through the summer.

• Designed and developed a Prolog linear algebra library implemented in C++

• Designed and developed a system for extracting lazy evaluation and compile time optimizations for interpreted code

• Conducted a large research project exploring existing linear algebra tools and their applicability to Kyndi’s needs. This included exhaustive experimentation and profiling of high-performance computing technologies.

In this role I worked with lab leader Prof. Douglas Thain to extend Work Queue, a framework for automatically managing large, distributed master-worker applications.

• Designed and developed a new batch processing extension leveraging the AWS Lambda server-less architecture

• Worked closely with Dr. Thain and his team to test and integrate this extension into their code base

• Performed mutual code reviews with another undergrad researcher