Manchester, New Hampshire, United States
Algorithms engineer with a keen interest in deep diving into details to solve problems and improve product outcomes. Why hire me? I have 13 years experience building and testing scientific models and algorithms. I was chosen to be one of four key personnel on a 20 million dollar contract based on my contributions, and have marketed to hundreds of people on how to maximize the value from solutions we’ve built. As a leader or individual contributor on any team, I adapt quickly to deliver quality products to the customer on time.
• Model Validation & Accuracy Improvement: Designed and implemented comprehensive Python validation framework for radiation belt prediction model using historical observational data, establishing first quantitative accuracy baseline and improving user confidence through data-driven performance metrics • Production Deployment & Efficiency Optimization: Diagnosed and resolved critical 2% completion gap in C++ CLI porting of a C# GUI application, enabling automated batch job processing that improved user operational efficiency by 10x through parallelized calculations • Software Engineering & Quality Assurance: Fixed 25+ GUI/UI bugs in C++/C# codebase, creating a reliable, production-ready tool for operational users • Model Integration & Feature Enhancement: Integrated third-party solar particle models (C++) into existing prediction system, doubling environmental data outputs and providing users comprehensive space weather assessment capabilities • MLOps & Delivery Automation: Architected and used Python automation scripts for streamlining customer delivery pipeline and ensuring on-schedule contract milestones
• AI System Monitoring & Optimization: Monitored fleet of 25 autonomous AI-powered inventory robots deployed in Walmart stores, diagnosing and resolving real-time issues (mislocalization, sensor failures, autonomy loss) to maintain >90% mission completion rate • Multi-System Prioritization: Managed concurrent robot issues through systematic prioritization framework, ensuring high-availability performance of autonomous systems in production retail environments
Taught 5 week block of algebra and introductory physics to diagnostic medical sonography students. Created lecture and exam materials. Utilized real world examples of physics to foster intrigue and stimulate learning for students in a general education class.
• High-Performance Algorithm Development: Architected modular, parallelized Fortran numerical simulation code for gamma-ray transport modeling in stellar explosions, achieving 10% accuracy improvement over existing statistical Monte Carlo approaches through deterministic methods • Model Debugging & Accuracy Enhancement: Identified and corrected mathematical errors in relativistic Monte Carlo radiation transport code, improving spectral generation and energy deposition calculations by 2% through rigorous validation against analytical solutions • Numerical Modeling & Simulation: Built numerical simulation pipeline solving coupled systems of linear equations and integro-differential equations for supernova spectral synthesis, revealing quantitative sensitivity of observables to physical parameters (56Ni mass, ejecta density, core structure) • Statistical Analysis & Inference: Applied maximum likelihood estimation with bootstrapped uncertainty quantification to investigate stellar evolution delay-time distributions, extracting statistically significant signal of binary evolution effects from observational data
Course instructor (as a graduate Teaching Fellow) for an undergraduate, introductory, non-major physics course of 120 students. Developed lecture materials, with a focus on examples and guided inquiry learning, and performed live demonstrations of physics principles. Designed homework assignments and exams to highlight important core principles. Managed two teaching assistants by advising them on guided inquiry learning during their own respective recitation classroom time.
I tutored Math, Physics, and Chemistry for the African American Academic Network at the University of Illinois at Chicago.