Proud Spartan
I enjoy being part of the Michigan State community at a deep level and representing the MSU through my work and involvement
About Me
Cheerleader
Yep! I was a Cheerleader. I got to travel to March Madness and various away games. I loved being part of the team at lifts, practices, and events.
Travel
I love travelling and exploring! Currently I want to go to Newfoundland! I took this photo on a hike in Oregon
Software Development
Finding solutions to real problems is my why. My goal is to create, innovate, and be responsible for applications that make a difference.
Detroit Energy
Detroit is in my blood. If its the Lions, the Wings, the Pistons, or the city itself, I want to be part of its growth and future. DEEEEEEEEE-TROITTT!!!
Thrifting
I enjoy cool things. I found a bin of nascar gear at a store in florida and I had to get it. It pairs my interests of cool clothing and racing
My Experience
Blockchain-Backed Payment Platform
Developer and Team Contact, MSU Federal Credit Union Capstone
- Built a transparent, auditable transaction platform using Flask, PostgreSQL, Web3, and Hardhat.
- Developed 39 secured APIs across 37 endpoints with batched settlement and nonce control.
- Designed a 5-table schema with 60 database functions supporting users, transactions, and disputes.
- Led Agile sprints and client coordination for a 6-person engineering team.
Urban Science
Data Driven Analysis Intern
- Built SQL audit scripts validating about 200 variables across 7 tables.
- Enabled analysis of 1,000+ metrics for 6,000+ dealerships.
- Prototyped Selenium automation for dealer analytics audit work.
Michigan DOT
Engineering Intern
- Implemented 4 Radio Signal Units along the M-1 Corridor for Connected Vehicle Deployment.
- Partnered with teams involved in connected vehicle programs and field operations.
Technical Range
Comfortable moving between application code, data pipelines, automation scripts, cloud deployment, and the business context behind the work.
Languages
Python, SQL, JavaScript, C, C++
Frameworks
React, Flask, Pandas, PyTorch, Selenium
Systems
PostgreSQL, ETL pipelines, data modeling, REST APIs
Cloud and Tools
AWS EC2/S3, Firebase, Google Cloud Platform, Docker, Hardhat
Let's Talk
Best fit: software engineering, data engineering, backend, full-stack, analytics automation, and technical client-facing roles.