Resume

M.S. student — MONET Lab (computer vision, 360° video, AR/VR)

B.S.E. Computer Science Engineering (AI/ML) & B.S.E. Robotics (Algorithms & Path-Planning) · Engineering Honors

Ford Motor Company — GDI&A

• Build warranty AI services on GCP (Cloud Run, BigQuery, Vertex AI) for Ford's Extended Service Business.
• Won Best Agentic Architecture (US & Europe) at Ford's Agathon hackathon with the Canonical Repair Profiler.

Bosch, Cross Computing

• Built a Python database parser with synthetic data generation, TF-IDF tokenization, and a GUI.
• Developed a bounding-box auto-labeler for vehicle traces and height classification, replacing manual labeling.

Utilidata

• Built an EV-charger raw current/voltage collection and visualization tool.
• Designed custom tagging/labeling for time-aligned ROS vehicle and external weather data.

UMich ITS — Advanced Research Computing

• Support the Great Lakes HPC cluster; automate account/login provisioning with shell scripts and APIs.
• Run CPU/GPU workloads via Slurm sbatch for research.

University of Michigan

• Time-series COVID-19 forecasting with Transformer, Autoformer, and Informer models.
• Developing a Neural ODE framework for time-series modeling and forecasting.

Michigan Autonomous Aerial Vehicles (MAAV)

• Led the software team; onboarded and mentored new members.
• Built an OpenCV/ViSP color-masking pipeline for drone localization and a Gazebo/ROS competition simulation.

Florida International University

• Built a GAN (TensorFlow) generating realistic UAV sensor data to fool classification systems, ~50% higher adversarial success.
• Work published at the 39th ACM/SIGAPP Symposium on Applied Computing.

University of South Florida

• Developed hybrid U-Net models for semantic image segmentation; labeled and processed image data.

University of Michigan

• ML models using nanoparticles as predictors for protein–protein complexes; chirality estimation via Osipov–Pickup–Dunmur indices and Hausdorff distance.