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Aspiring ML Engineer
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Applied Physics B.S. with concentration in Computational Physics
Applied Mathematics B.S.
Business Management Economics B.A.
Computer Science Minor
Data Science
Machine Learning Engineering
Quantitative Research
Machine Learning Theory
Scientific Computing
Embodied AI
Reinforcement Learning
Stochastic Modeling
Uncertainty Quantification
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Nov 2022 - June 2023
Utilized computer-based monitoring platforms for data collection and provided concise assessments to security teams
Conducted threat analysis and open-source research for data-driven threat identification.
Managed emergency notification services across 10+ global sites, maintaining detailed records of security operations data.
Nov 2023 - Present
Collaborated on a research project with Professor Razvan Marinescu, using transfer learning with Graph Neural Networks, to accelerate Molecular Dynamics simulations by over 100X.
Managed and executed computationally intensive protein simulations, processing data for over 700 proteins.
Applied strong coding skills to create automated pipelines and train machine learning models, contributing to ongoing research aimed at top-tier scientific publications.
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