Software Engineer @ Kigo
I build apps people actually use.
Snowball · Track.it · NFTix
About
Engineer, builder, Wolverine.
I'm a software engineer at Kigo, where I work remotely from Detroit building loyalty and engagement products. Before that I spent two years at Goldman Sachs analyzing liquidity risk and derivatives — and got my start there as a summer analyst building internal full-stack tooling.
I graduated from the University of Michigan with a BSE in Computer Science and a minor in Applied Statistics (Go Blue!). Along the way I led development for the Michigan Crypto Investing Club, played club hockey, and co-authored a paper in BMC Bioinformatics on OmicNavigator, an open-source omic data exploration tool I worked on at AbbVie.
Outside of work I'm usually building something: a voice-first habit tracker, a calorie tracker with LLM-powered recipe import, or an NFT ticketing platform on Solana. I like shipping things end to end — design, mobile, backend, and the infrastructure underneath.
Experience
Where I've worked
Mar 2025 — Present · Remote (Detroit, MI)
Software Engineer @ Kigo
Building loyalty and engagement products on a modern full-stack platform. Day to day spans software design, infrastructure, and shipping features end to end.
Jul 2023 — Mar 2025 · Salt Lake City, UT
Liquidity Risk Analytics & Reporting Analyst @ Goldman Sachs
Specialized in liquidity risk and derivatives — automating reporting pipelines and modernizing the team's tooling.
- Stood up GitLab infrastructure for the Derivatives team, migrating scripts off shared OneDrive folders and opening up version-controlled collaboration.
- Automated the daily creation of manual adjustment files for 6G and EBA LCR reports, removing a recurring source of user error from the data.
- Optimized existing Python scripts to cut runtime by more than 50%, and reduced Tableau report generation from over 10 minutes to under 1 minute per report.
- Produced the Liquidity Coverage Ratio (LCR) for EBA entities daily, flagging and investigating outliers in the underlying data.
Jun 2022 — Aug 2022 · Salt Lake City, UT
Summer Analyst — Software Engineering @ Goldman Sachs
Built a full-stack diagnostics tool from scratch in an enterprise environment, used to diagnose and treat errors in business-continuity-plan deployments.
- Developed the application end to end with Java, Spring Boot, Maven, JavaScript, and React.
- Built a REST API over an enterprise MongoDB that returned the key information summarizing each deployment.
- Created dynamic error handling that interprets the errors present, suggests solutions based on the current issues, and links directly to fixes.
Jun 2021 — Dec 2021 · Remote (Champaign, IL)
Software Intern — OmicNavigator @ AbbVie
Applied and improved OmicNavigator, AbbVie's open-source tool for omic data analysis and visualization, working alongside research teams to bring their data into the platform.
- Cleaned and transformed omic datasets in R, building static and interactive ggplot visualizations teams could use to explore their data clearly.
- Automated the model-building process, scaling the platform from roughly 20 studies to over 120 and producing more than 100 different types of data models.
- Published finished studies to the production server for shared team access.
Publication
“OmicNavigator: open-source software for the exploration, visualization, and archival of omic studies”BMC Bioinformatics · April 2024
Projects
Things I've built
Side projects I design, build, and run end to end — mobile apps, games, backends, and the infrastructure underneath.
Skills
My toolkit.
Languages
Frameworks & Libraries
Data & ML
Tools & Platforms
Education
Go Blue.
University of Michigan — College of Engineering
2020 — 2023
BSE Computer Science, Minor in Applied Statistics
- · Head of Development — Michigan Crypto Investing Club
- · Club hockey (Michigan Law Hockey, Michigan Hockey League)
Began at Michigan State University (2019–2020) before transferring to Michigan.
Coursework highlights
What I built and what stuck with me. (Course repos stay private — honor code.)
EECS 485
Web Systems
Built “Insta485,” a full Instagram clone with account login/signup, post creation, comments, likes, and an explore feed — developed three ways across the term: first as a static site generator, then server-side with Flask, SQLite, and Jinja templates, and finally as a React client-side single-page app over a REST API, with the final build deployed to AWS EC2 so anyone could visit it. The course also covered a MapReduce framework written from scratch and a search engine with tf-idf ranking and PageRank. Core learnings: full-stack architecture from early development through deployment, REST API design, session and auth handling, distributed-systems fundamentals — manager/worker coordination, fault tolerance, sockets and threading — and information retrieval at scale.
EECS 281
Data Structures & Algorithms
Projects spanning BFS/DFS puzzle solvers, priority queues implemented four different ways, a log-file query engine, and a graph project combining minimum spanning trees with branch-and-bound TSP optimization. Core learnings: complexity analysis, choosing the right data structure for the job, hashing/sorting/indexing trade-offs, and exact vs. heuristic optimization.
EECS 370
Computer Organization
Wrote an LC-2K assembler and linker, a cycle-accurate pipelined processor simulator with hazard detection and forwarding, and a cache simulator. Core learnings: how code actually executes — instruction sets, the compile/link pipeline, CPU pipelining, and the memory hierarchy.
EECS 280
Programming & Intro Data Structures
C++ projects including a seam-carving image resizer, a Euchre card game with AI player strategies, templated linked lists with custom iterators, and a Naive Bayes text classifier built on a hand-written binary search tree. Core learnings: object-oriented design, inheritance and polymorphism, templates, memory management, and testing discipline.
EECS 484
Database Management Systems
Designed a social-network schema from ER modeling through full SQL DDL, queried Oracle from Java/JDBC, and built MongoDB and C++ database-internals projects. Core learnings: relational modeling, query design, SQL vs. NoSQL trade-offs, and how databases work under the hood.
EECS 493
User Interface Development
Built a browser arcade game in JavaScript and ran a complete UX cycle: user interviews, interpretation sessions, storyboards, Figma prototyping, and think-aloud usability testing. Core learnings: event-driven UI programming and the human-centered design process.
EECS 497
Human-Centered Software Design (Capstone)
Team capstone project 'Fridgarvis' with an iOS (SwiftUI) prototype. Core learnings: team-based product development — scoping, planning, dividing work, and shipping under real constraints.
EECS 203 & 376
Discrete Math & Theory of Computation
Proofs, combinatorics, graph theory, complexity classes, and reductions. Core learnings: the mathematical reasoning behind algorithm correctness and the limits of computation.
EECS 201
Computer Science Pragmatics
Shell scripting, git internals, Makefiles, debuggers, and build toolchains. Core learnings: the developer-tooling fluency that gets used daily on every other project.
STATS 401
Applied Statistical Methods
Final project: a salary predictor regressing tech-industry compensation on Levels.fyi data in R. Core learnings: regression modeling, diagnostics, and communicating statistical results clearly.
STATS 250 / 306 / 449
Statistical Computing & Biostatistics
Statistical computing with R and the tidyverse, data visualization with ggplot2, through Bayesian inference and survival analysis. Core learnings: the practical data-analysis foundation behind the Applied Statistics minor.
Interests
Outside the terminal.
- Blockchain
- Crypto
- AI
- Emerging Tech
- Hiking
- Hockey
- Skiing
- Football
- Golf
- Traveling
- Astronomy & Space
Contact
Let's talk.
Whether it's an opportunity, a project idea, or just to say hi — my inbox is open.