Experience

Professional roles, internships, and research positions

Beth Israel Deaconess Medical Center (BIDMC)

Machine Learning Intern

Boston, MA

Sept 2025 – Present

  • ·Build a GPU-enabled surgical robotics simulation workflow for the da Vinci Research Kit (dVRK) using ROS and Gazebo/AMBF on BU's Shared Computing Cluster (SCC) by containerizing dependencies with Singularity/Apptainer and creating reliable scripts to launch and view simulations remotely
  • ·Prototype incision-closure tasks in NVIDIA Isaac Sim/ORBIT-Surgical by setting up a reproducible Omniverse/Isaac environment (fixed versions and dependencies) and organizing the required simulation assets for surgical manipulation
  • ·Improve ML autonomy training reliability by diagnosing a preprocessing mismatch that reduced performance from ~90% to ~30%, curating/labeling demonstration data (e.g. ~80 JIGSAWS trajectories), and collaborating with Johns Hopkins to acquire new dVRK kinematic demos to standardize multimodal inputs (vision + kinematics)
PythonROSGazebo/AMBFNVIDIA Isaac SimSingularity/ApptainerdVRK

Boston University Center for Space Physics

Machine Learning Research Assistant

Boston, MA

Apr 2025 – Present

  • ·Build end-to-end Python pipelines for POES and OMNI time-series data, generating model-ready datasets with 7M+ 2-second satellite samples per month by ingesting NetCDF files, interpolating gaps, enforcing L-shell (3–9) and MLT quality cuts, and joining with 4-hour windows of 1-minute solar-wind drivers
  • ·Improve E4_0/E4_90 energetic electron precipitation forecasts, lowering test MAE/RMSE and boosting correlation vs prior baselines, by training Keras neural nets and Ridge regressors with standardized features and time-ordered train/val/test splits
  • ·Increase interpretability of space-weather predictions across different storm conditions and locations in the radiation belts, improving generalization during rare, high-flux events, by testing different time resolutions (2-second vs 1-minute data), quantile-based flux aggregations, and simple features that capture local time around Earth
PythonKerasRidge RegressionPandasNetCDFTime-series Analysis

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