What I've Been Working On

Started Hylomorphic, where we build custom machine learning pipelines using Haskell and TensorFlow

Presented at Hacker Lab's Startup Hustle Pitch Night

Wrote technical blog posts about functional programming and machine learning

Hylomorphic created services at Edible that helped predict food item attributes through Machine Learning. They actively taught our team better practices which we implemented for a more scalable and maintainable ML pipeline. It was a delight working with them.
     –Michael Copley, CEO

Joined forces with AdmitAlly during crunch time to help them match college mentors with prospective high school students, using TypeScript

Mitchell is a versatile and highly capable engineer...Each time there was a problem that needed immediate attention, Mitchell helped me understand different solution options and the pros/cons of taking each route. As a non-technical founder, I greatly valued having someone handle a large part of this work and help me make decisions as quickly and efficiently as possible.
     –Anushree Vora, CEO

Implemented testing, code review, improved logging, and other best practices at Barsala, including a full-codebase review to ensure high quality standards

Solved problems at Rookie Road

I turned to Mitchell's expertise in automation and machine learning when I wanted to explore some R&D projects for my company. Mitchell was able to add value by coming up with a clever and elegant solution to a difficult problem we were having. I was amazed by how simple, yet effective his solution was.
     –Doug Gursha, Founder & CPO

Worked remotely with Serokell on several cryptocurrency projects in Haskell

Built a full history manager with command autocompletion for Ariadne, an open-source wallet for Ada

Added custom ADTs to the Cardano Settlement Layer to improve error encoding

I would recommend working with Mitchell, especially for a project in Haskell. We have already expressed interest in working with him again someday, and hope to do so in the near future!
     –Arsenij Seroka, CEO

Introduced a machine learning pipeline at Edible to automatically label restaurant menu items based on diets they fit (vegetarian, dairy-free, etc.), which more than doubled data ingestion workflow speed

Reduced app overhead by 100,000+ requests per month with Bloom filter

Built a home medical self-care app for Armor Health on a deadline, using Elm and Haskell (Yesod) to eliminate runtime errors in the full stack

Interned at BookBub, building web components with React and Ruby on Rails, where authors and publishers could interact

Researched prostate cancer genomics using multi-gigabyte lncRNA data, using R, Bowtie, TopHat, and Bash for large dataset analysis on Flux HPC cluster

In school, I was the president of Michigan Hackers, which helps people learn the coding skills they need to make what they want to make

Our team was able to get the highest weekly Hack Night attendance to date, some with over 70 attendees

Mitchell volunteered to be my mentor in Web Development through the Michigan Hackers student group. As a newbie to the field, I was afraid the learning curve would be too much for me to handle. However, through Mitchell's immeasurable patience, ability to explain concepts clearly, and foresight to set goals/deadlines, I came out of the program much more knowledgable, with a working app I was proud of.
     –Andrew Chen, Mentee