Experience & Projects

Building distributed Go and Kubernetes services with Protocol Buffers for Lattice mission autonomy pipelines. Designed the File Descriptor Service SDK to filter protobuf schemas and standardize dynamic proto retrieval across business lines, reducing unmarshal overhead. Also developed latency and memory TUI dashboards to surface distributed-system bottlenecks for mission autonomy teams.

Architecting Real2Sim2Real simulation pipelines in Genesis and Isaac Sim to validate wearable sensor motion capture for soft exoskeleton research. Built synthetic-data workflows and trained ML models for biomechanical motion analysis, and programmed C++ Arduino pipelines for real-time capacitance sensing on wearable hardware.

Engineered a Python and JavaScript backend for surgical robot log analysis, building automated dashboards with REST APIs and SQL pipelines to visualize surgical event data. Also wrote validation and compliance documentation for robotic system software in support of FDA readiness.

Mentored 100+ students in C, C++, MATLAB, and Python through technical guidance, review sessions, supplemental materials, and grading across core programming and computer science concepts.

Developed and optimized deep learning models with TensorFlow and Scikit-learn to predict lung cancer risk, using Python and R to preprocess clinical datasets through cleaning, imputation, normalization, feature engineering, and hyperparameter tuning.