Experience

Professional roles, internships, and research positions

Beth Israel Deaconess Medical Center (BIDMC)

Machine Learning Intern

Boston, MA

Sept 2025 – Present

  • ·Built GPU-enabled surgical robotics simulation workflow for da Vinci Research Kit (dVRK), a research platform used in autonomous surgery development
  • ·Designed and implemented neural network architectures to predict 6-DoF end-effector states based on surgical instrument telemetry
  • ·Prototyped incision-closure tasks in NVIDIA Isaac Sim/ORBIT Surgical by setting up a reproducible Omniverse/Isaac environment for labeling and dataset construction
  • ·Improved ML autonomy training reliability by diagnosing a preprocessing mismatch that reduced performance from -90% to 48% accuracy, enabling better learning and control
PythonPyTorchNVIDIA Isaac SimROSComputer VisiondVRK

Boston University Center for Space Physics

Machine Learning Research Assistant

Boston, MA

Apr 2025 – Present

  • ·Developed end-to-end data pipelines in Python and SQL for time-series ingestion and preprocessing of POES satellite telemetry and the OMNI database
  • ·Designed and trained supervised machine learning models (Random Forests, LSTM Neural Networks) for predictive analytics of space-weather events, improving detection accuracy by 15%
  • ·Performed advanced feature engineering, hyperparameter tuning (grid search, cross-validation), and statistical modeling to optimize model precision and recall
PythonSQLPandasLSTMRandom Forestscikit-learnTime-series Analysis

Electronic Arts

Software Engineering Virtual Experience Program

June 2025

  • ·Proposed a new feature for EA Sports College Football and wrote a Feature Proposal describing it to other stakeholders
  • ·Built a class diagram and created a header file in C++ with class definitions for each object
  • ·Patched a bugfix and optimized the EA Sports College Football codebase by implementing an improved data structure
C++Software DesignData Structures

Blue Leaf Technologies

IT Consultant

Jul 2023 – Aug 2023

  • ·Engineered and deployed secure authentication systems using Azure Active Directory and Windows Hello for Business, increasing login efficiency by 25%
  • ·Implemented Cloud Kerberos Trust with domain controllers, streamlining credential workflows by 40%
  • ·Built Python scripts to automate data collection, cutting manual tracking by 50% and improving real-time system monitoring
Azure ADWindows HelloPythonCloud Kerberos

Mathnasium

Instructor

Apr 2022 – Jul 2023

  • ·Delivered engaging math instruction to classes of up to 10 students using diverse methods, raising comprehension by 20% and improving overall engagement by 25%
  • ·Evaluated 100+ assignments monthly, providing constructive feedback, clear guidelines, and tailored reinforcement to build confidence, discipline, and student growth