Founder and Software Engineer at Powder Labs, a professional services company. My technical responsible include designing, developing, testing, deploying, maintaining, and enhancing software for our clients. In addition, lead design reviews with peers and stakeholders, triage product or system issues and then debug, track, or resolve them, maintain and expand documentation, and review code to provide feedback to ensure best practices or maintain standards. I am also responsible for maintaining our infrastructure and CI/CD pipelines. My project management responsibilities include:- **I'll fill this in whenever I have the time but tl;dr standard PM tasks for a team of 4 engineers and 2 designers**My business responsibilities include meeting with clients, managing and hiring employees, and expanding the business.

Lead developer on the ProFile Project.Lead efforts to design, build, and launch ProFile, a HIPAA-compliant EMR and practice management solution tailored for medical practices in the aesthetics and cosmetics field. ProFile includes an iOS and web application. Technologies I've personally used for this project include (non-exhaustive list):• Node.js• SQL database• Redis• Various AWS services••• A blog post on how we built a HIPPA compliant cloud infrastructure is WIP• iOS (Swift & React Native)••• Transitioning from native Swift to React Native so we can easily tranisition to Android• Next,js and React Native• CI/CD with Github Actions and Testflight• IAC with Terraform

Engineer on Telematics Team!• Used AWS Kinesis, Gateway, and Lambdas to build serverless microservices written in Python/C# to monitor and track commercial drivers. • Designed and implemented components that displayed live-streaming data using React & Typescript.• Wrote integration and E2E tests with Python and configured Jenkins to run during pull requests.• Denormalized our ElasticSearch database and reduced read times by an average of 200ms! (p95 ~400ms to p95 of <200ms)• Added features and maintained an Android ELD application built with Xamarin••• Assisted the mobile team transition the ELD app to native Java

Engineer on the Big Data team!Natural Language Processing and Unsupervised Learning: • Cleansed, possessed, and tokenized large datasets of untagged maintenance reports with NLTK in Python. • Utilized various clustering algorithms to classify and label the data using Scikit-learn or TensorFlow.Machine Learning Model and API: • Improved average prediction time by ~45% by parallelizing the NLP tokenizer and leveraging more efficient data structures. • Trained and deployed support-vector machine learning models with millions of clustered data points to predict the timing and frequency of faults and engineered an API with Django to access them in real-time.

• Built and scaled a secure, HIPAA compliant, HITRUST communication backend deployed in dozens of hospitals and other clinical settings with Typescript and Node.js.• Implemented data anonymization of Protected Health Information (PHI) and used the data for the staging environment.• Provisioned HIPPA compliant PostgreSQL database with automatic backups, audit tables, stored procedures, and efficient indexing.• Architected efficient contact syncing with pgSQL and Node.js• Deployed production, staging, and QA environments with Docker, AWS, Ansible, and Jenkins• Implemented PHI-secure logging and metrics using both the Elastic Stack and Sentry/Redis/Postgres Stack• Followed TDD and used Mocha, Chai, and Supertest to write unit tests on server-side code. Responsible for increasing code coverage from ~30% to over 90%.• Assisted in creating a data anonymization tool in Bash and Node.js to hide sensitive data and comply with GDPR.• Automated backend build and deployment with Dockerfiles and Groovy scripts for the Jenkins CI/CD Pipeline.

A weekly radio program with the goal of dissecting complicated scientific topics and present them in an easy manner to the general public. With the occasional help from experts (e.g. professors, post-docs, etc.) we elucidate topics ranging from cryptocurrency to protein folding.

• Researched genetic engineering techniques to develop synthetic DNA constructs for microbial metabolite biosensors.• Designed and cloned a vector in E. Coli and B. Subtilis which allowed them to act as biological sensors that detected exogenous 3-Hydroxypropionate.• Founding member of the University of Iowa's first International Genetically Engineered Machine synthetic biology lab.

• Spearheaded the transition from CSV's to MSSQL for warehousing of chemical data.• Utilized NLP and OCR APIs in Python to classify all on-site chemicals by governmental/regulatory bodies (OSHA, EPA, NFPA, etc.) and generate an official report. • Accelerated turnaround time of reports from 2 weeks to an average of 2 days.• Collaborated in writing Safety Data Sheets of newly synthesized commercial chemicals