Clinical Database Developer | Software Engineer | Data Analytics
Building reliable clinical data systems, automating validation workflows, and developing software that transforms complex data into actionable insights.
I'm an Associate Clinical Database Developer at Regeneron Pharmaceuticals and a Computer Science graduate from NJIT with a passion for building reliable software and high-quality clinical data systems.
My work focuses on developing and validating clinical databases in Medidata Rave EDC, designing eCRFs, implementing edit checks with Medidata Custom Functions, supporting UAT, and ensuring clinical trial data meets regulatory and quality standards. I also enjoy applying Python, R, SQL, and SAS to automate workflows, validate data, and solve analytical problems.
Outside of clinical development, I enjoy building full-stack applications, experimenting with AI-powered tools, and working on sports analytics projects that combine machine learning, data engineering, and visualization.
Away from the keyboard, you'll usually find me watching the Oklahoma City Thunder, Tottenham Hotspur, or the New England Patriots.
Building reliable clinical data systems while applying software engineering and analytics to accelerate clinical research.
Regeneron Pharmaceuticals
Build and validate 500+ clinical edit checks across 5 studies in Medidata Rave Architect using C#/Medidata Custom Functions, partnering with CRO teams to translate protocol requirements into production-ready validation logic. Design and configure electronic Case Report Forms (eCRFs) and clinical databases in Medidata Rave EDC, driving study startup timelines and ensuring accurate, protocol-compliant data collection. Manage post-production database changes via Rave Amendment Manager (Migrations, Quick Publish), support RTSM/IRT setup and AE/SAE alert configuration, and lead User Acceptance Testing (UAT) efforts to validate edit checks and data workflows ahead of study go-live.
B the Cause
Built a REST API backend for an AI platform analyzing student development gaps, serving dashboards for underserved youth. Reduced code complexity through PHP/Laravel refactoring and zero-downtime MariaDB schema migrations. Implemented unit tests to validate CRUD operations and collaborated with the frontend team to ensure real-time dashboards delivered accurate student progress insights.
New Jersey Institute of Technology
Analyzed over 500 athlete injury records using Python (Pandas, NumPy, Matplotlib) to uncover correlations between training load and lower extremity injuries, contributing to a co-authored research paper. Built automated data cleaning pipelines to process multi-season datasets, reducing processing time by 40% and creating key visualizations to inform rehabilitation strategies.
New Jersey Institute of Technology
Provided personalized tutoring in Java and Python to over 35 students, designing tailored study plans and coding exercises that improved assessment scores by 20% and enhanced students' problem-solving skills and confidence.
ZooCrew Summer Basketball
Mentored 15 young athletes over the course of two summers, instilling essential skills such as teamwork, discipline, and communication. Executed effective team leadership through strategic management of game plans, employing strong communication and decision-making skills.
CDHDM
Maintained and upgraded church computer systems and network to ensure reliable access for staff and ~50 congregants. Managed audio/video equipment for services and events, automated backups, and configured shared drives to improve system reliability and efficiency.
Building a strong foundation in computer science and liberal arts
New Jersey Institute of Technology
Completed core courses in data structures, operating systems, computer organization, and databases. Gained hands-on experience through programming practicum and software engineering projects.
Bard College (Early College Program)
Completed an accelerated college-level curriculum during high school, focusing on interdisciplinary liberal arts studies.
Modern technologies and tools I use to build exceptional software
A collection of my most impactful work spanning clinical data systems, full-stack development, API design, and data analytics
Mapped raw clinical trial data to SDTM domains (DM, AE, VS) and derived an ADaM ADSL dataset following the CDISC SDTM Implementation Guide and controlled terminology, using CDISC Pilot Project data.
Rebuilt the core functionality of TrialGrid's EDC study validation engine, implementing 128 diagnostic rules as individual Python functions across categories like Build Quality, Naming, and RaveX compatibility, with the Claude API parsing Architect Loader Spreadsheet inputs into structured data for rule evaluation.
Built as an in-house project â code not publicly available
Authored a Data Validation Specification (DVS) with 15 edit check rules for a mock clinical protocol and implemented executable validation logic in SQL against synthetic study data, including UAT-style test case documentation.
High-performance GraphQL API enabling scouts to query multi-season player performance across European leagues.
Full-stack platform delivering live scores and ChatGPT-powered insights on trades, lineups, and scouting.
Job-aware resume platform with Auth0 authentication and cloud deployment on Heroku/Vercel.
NBA and EPL visualizations including shot charts, heatmaps, and performance graphics in R & Python.
Full-stack social platform with real-time posts, SSR, lazy loading, and Clerk authentication.
Android app for real-time NBA scores with offline caching and coroutine-based background updates.
Built a compiler with lexer, parser, and interpreter for a Pascal-like language, applying core compiler theory.
2D HTML5 Canvas fighting game with collision detection, physics animations, smooth gameplay, and Agile development.
Responsive personal website showcasing projects, skills, and portfolio, built with HTML and CSS.
Download my full resume and view my professional certifications
Detail-oriented and technically skilled Computer Science graduate from NJIT with expertise in backend engineering, full-stack web development, and machine learning. Proficient in designing and maintaining scalable systems using Laravel, MariaDB, and modern programming tools, with a strong foundation in algorithms, data analysis, and system design.
Download Full Resume (PDF)Completed for credit at New Jersey Institute of Technology (Fall 2024) | View Certificate (PDF) â
Forage | View Certificate (PDF) â
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Feel free to reach out!
Send Me an Email â