- By curating and labelling data and applying reinforcement learning, significantly reduced errors for large language models (LLMs) specifically on advanced mathematical reasoning prompts. - Recognized as a top performer.

- Championed all experiments for Quantum Sensor leading in an Agile environment a cross-functional team of data scientists, software/hardware engineers and physicist successfully through key NASA/Government design milestones. - Led an experiment at a particle accelerator (TRIUMF) and provided lead technical support for a successful $0.5M, 1-year Satellite Boom mission, guaranteeing all mission-critical metrics.- Collaborated with ML/Data Scientists to pioneer the integration of machine… Show more - Championed all experiments for Quantum Sensor leading in an Agile environment a cross-functional team of data scientists, software/hardware engineers and physicist successfully through key NASA/Government design milestones. - Led an experiment at a particle accelerator (TRIUMF) and provided lead technical support for a successful $0.5M, 1-year Satellite Boom mission, guaranteeing all mission-critical metrics.- Collaborated with ML/Data Scientists to pioneer the integration of machine learning for the World Magnetic Model (WMM). This also included R&D of new algorithms for GeoScience, helping surpass the accuracy of the previous European Space Agency implementation by ~25%, enhancing global navigation.- Led sprints contributing to scientific Python/C ecosystem for Quantum platform using software best practices, including continuous-integration pipelines, unit testing, code review. - One of key members to be responsible for space stream, including giving regular briefings, owning critical documentation (Error budget, Risk Assessments, ICDs, CONOPS). Successfully passed NASA's milestones (PDR/CDR). - Initiated, facilitated, or supported projects with universities, companies, and governmental organizations in an international collaborative environment. - Mentored new employees and interns. Show less

- Developed supervised machine learning models to solve graviton interactions, using machine learning for the first time in helping develop a theory of quantum gravity.- Utilized custom cost functions to optimize model performance.- Presented research in multiple technical colloquiums and conferences (Watch here).

- Translated high-level programming scripts into optimized, parallelized C implementations.- Integrated Python into a comprehensive Quantum Computing toolbox, focusing onquantum circuits.- Developed a multithreaded quantum compiler to enhance computational efficiency.

- Conducted supervised machine learning using decision tree classifiers for user agent stringfeatures, performing n-fold cross-validation.- Developed Django and Rest Framework applications for live data integration.- Implemented authentication policies and assisted with production deployment

- Engineered the thrust vector valve, winning the Spaceport America Cup.- Developed a flight simulator using Monte Carlo simulations to predict rocket trajectories.- Established corporate sponsorships to secure financial stability for projects.