About Me
I had the privilege of growing up in London, where I was exposed to a unique variety of cultures and ideas that have shaped me into the driven and inspired person that I am today. Since then, I have had the opportunity to graduate with a bachelor's of science and have work experience in a range of industries, elevating my sense of individuality and versatility.
Today, I study AI Engineering at Santa Clara University, in the heart of Silicon Valley. My greatest interests are in brain-computer interfaces, extended reality, and robotics. I chose this path to follow my passion for evolving technological development, aspiring to produce and innovate many impactful solutions for the future.
Education
Santa Clara University
Master's of Science in AI Engineering
Bachelor's of Science in Electrical and Computer Engineering
Minor in Innovation, Design, and Entrepreneurship
- Robotics - Manipulator kinematics, Jacobians, and velocity-force control
- Natural Language Processing - Retrieval augmented generation and language models for fungi research
- Neuromorphic Computing - Artificial Neural Networks and Reservoir Computing
- Image Processing - Feature extraction using gradients, thresholding, and morphology
- Brain Computer Interfacing - Neural response prediction and analysis of text and audio stimuli
- Machine Learning - Statistical learning and model tuning using sk-learn and TensorFlow
- Energy Storage Systems - Intelligent management of storage for electrical grid infrastructure
- Digital Signal Processing - Frequency analysis and filter design in Matlab
- Advanced Logic Design - Control of datapath elements for state machines design in Verilog
- Communications and Networking - Matlab signal encoding with modulation and multiplexing
- Real Time Embedded Systems - Concurrent threads to a microcontroller using Assembly
- Computational Architectures - Pipelining, cache, and virtual memory design with Xilinx Vivado
- Operating Systems - Process management, memory allocation, and performance evaluation
Papers
- EMT Vision - First Responders have to collect patients’ information and diagnosis in an extremely stressful environment. We produced an application for the Microsoft Hololens 2 that combines computer vision, language processing, and artificial intelligence to effectively assist their mission
- Replicating the Visual Cortex
- Vision-to-Language Abstraction for MDPs
- Autonomous Inspection of Wind Turbine Interiors
- Robot Imitation Learning from Kinesthetic Teaching
- Predicting the Lifespan of Li-ion Batteries
- Eye Segmentation with Low-Level Vision Methods
- Modeling a Battery Energy Storage System
- Computer Vision, Extended Reality, and the Next Evolution of Mobile Devices
Additional Learning
Work Experience
Computer Vision Research Intern - GE Vernova, Advanced Research Center (2026 - Present)
Researching robotic perception for autonomous inspection of renewable energy infrastructure. Deployed a machine learning pipeline for UAVs identifying components inside wind turbines to reduce maintenance hazards. Optimized scene understanding in confined environments using SLAM with ROS2, lidar, and video data.
Team Lead - Carnegie Mellon University (2026)
Created annotated digital twin environments for autonomous vehicle researchers at Bosch to train world models. Built simulated car garages using procedural modeling, Gaussian splatting, and game development tools. Managed a team of undergraduates, teaching 3D design in Unreal Engine and RoadRunner.
Technical Field Specialist - Google, contracted via Cognizant (2026)
Executed A/B testing of mobile phones and smart watches to evaluate GNSS location services. Presented results to Google Android engineers to debug pre-release devices and experimental operating systems. Collected location ground truth and benchmarking data from GPS experiments in the field.
Teaching Assistant for Neuromorphic Computing - Santa Clara University (2026)
Reviewed SPICE circuit simulations and research papers on hardware-based synapses for accelerated machine learning. Assisted faculty in preparing coursework and instructional materials about non-Von Neumann architectures. Led study sessions and tutoring on nanoscale circuit models for brain-inspired computation in PyTorch.
IT Service Technician - Six Flags (2025)
Conducted hardware repairs, imaged operating systems, and integrated active directory on edge devices for POS. Performed end-to-end validation of over 30 network IDFs serving smooth, large-scale operations for 15 departments. Configured and deployed IT infrastructure on an enterprise server to support virtualization and containerized workloads.
Web Engineer - Ohlone Heritage Hub (2025)
Automated the generation of web pages to digitize a library of historical content on indigenous plant usage. Deployed and published on an academic domain with reusable frontend components for consistent expansion. Collaborated with archivists and domain experts to ensure accuracy and cultural sensitivity in online representations.
Full-Stack Developer - REALIST (2024)
Founded a software business in partnership with real estate professionals to address industry specific needs. Designed and implemented a modern interface for efficient data management and automated web search functionality. Built a pipelined CRM using API requests and integrated google cloud console features to streamline client workflows.