Research Data Scientist at Cleveland Clinic's HVTI Institute with a passion for building end-to-end decentralized applications.
I ship complete Web3 products in my spare time:
• Foundry DeFi Stablecoin - overcollateralized protocol inspired by DAI with Chainlink oracles, health factor calculations, liquidation mechanics, and 95%+ test coverage (Foundry invariant + fuzz tests). Live interactive Sepolia demo: patrickseeman.com
• Fragbox.gg - real-time esports prediction market on Base (Faceit integration, pro-rata payouts, anti-collusion logic). Testnet-only portfolio demo: fragbox.gg
Full-stack experience with Next.js, Wagmi, RainbowKit + strong ML/Data Science background (TensorFlow, Python, Streamlit, clinical NLP pipelines). I studied Foundry Fundamentals and Solidity Smart Contract Development through Cyfrin Updraft.
Always learning and open to interesting technical discussions.
Portfolio: patrickseeman.com
GitHub: github.com/lightpat
Calendly: calendly.com/patseem189/intro-call
Experience: 5 years
Yearly salary: $100,000
Hourly rate: $50
Nationality: 🇺🇸 United States
Residency: 🇺🇸 United States
Experience
Research Data Scientist I
Cleveland Clinic 2026 - 2026
Implemented LLM-based NLP for extracting biomarkers from patient cardiology reports. Restructured data warehouse for more optimal queries and ease of use for clinical studies
Lead Developer
GridLock Games 2023 - 2025
Led cross-platform MMORPG development in an agile environment, ensuring on-time feature delivery and team coordination. Integrated REST APIs for player account and progression systems, supporting scalable, persistent gameplay. Built Unity developer tools to streamline workflows, reducing iteration time for the engineering team. Implemented C# performance optimizations, improving runtime stability and frame rates. Managed GitHub workflows and repository standards, reducing merge conflicts and improving collaboration.
Data Scientist I
Cleveland Clinic 2023 - 2025
Maintained and optimized existing applications and data pipelines, improving efficiency and reliability of clinical workflows. Collaborated with clinical teams to implement analytics solutions, supporting data-driven decision making across departments.
Associate Data Scientist
Cleveland Clinic 2022 - 2023
Developed Python web app to automate clinical scheduling at Taussig Cancer Institute, reducing manual scheduling errors and staff time. Built ML language model to extract structured data from pathology reports, improving data accessibility for research and clinical use. Designed OCR pipeline for pathology report images, increasing text extraction accuracy for downstream analytics.
Machine Learning Intern
Cleveland Clinic 2021 - 2022
Implemented Python/TensorFlow pipelines for image recognition models, training neural networks on 51,000 insurance card images. Developed web app to present predictive model outputs, enabling colleagues to test models without coding expertise. Analyzed predictive model bias in patient payment propensity, informing fairness improvements in ML models.
Skills
ai
c-sharp
data-science
devops
ethereum
git
machine-learning
nextjs
python
solidity
typescript