Projects

SubStrata

Engineered a recursive self-improvement pipeline for NASA-oriented land cover classification, boosting model accuracy from 42% to 91% through iterative error correction. Built a dual-model feedback loop where Gemma audits Gemini 3.5 Flash's classification output against ground truth labels, pushing flagged discrepancies to a persistent memory layer that compounds accuracy gains over time. Integrated Google Earth Engine's API to source and process Sentinel-2 and Dynamic World satellite imagery for training and validation.

Cascade

Formulated N-2 cascading failure scenarios in power grids as a QUBO problem, achieving 100% contingency coverage on real IBM quantum hardware. Engineered a quantum optimization pipeline that identified failure-containment strategies ~8x better than a greedy baseline, landing within 22.5% of the true optimum — deployed and validated on live IBM quantum hardware.

PathFinder

Built a web-only navigation aid for blind and low-vision users, running entirely in-browser on WebGPU with no specialized hardware required. Fused on-device object detection with depth estimation to deliver real-time obstacle warnings via directional haptics, audio cues, and spoken alerts with zero cloud latency. Implemented a live-scene query feature integrating Bright Data web search to identify unfamiliar objects, and a RunPod pipeline for continuous retraining without disrupting on-device performance.

BatemanAI

Built a financial AI assistant that acts as a personalized bank teller, with a generative UI that composes dashboards around what each user actually cares about — a college student and someone nearing retirement see entirely different views. Implemented a Twilio phone system for inbound and outbound calls: when the agent detects financial risk, like an upcoming rent payment colliding with excessive discretionary spending, it proactively calls the user with the issue and concrete steps to address it, and inbound callers can manage their finances entirely over the phone.

Global Education Inequality Monitoring System

unesco-geims.org

Built a monitoring system that ingests millions of educational data points — faculty-to-student ratios, literacy rates, enrollment, internet access — for regions worldwide and distills them into an sEQI score (0–1) using an original equation, from extremely poor to ideal education quality. A dashboard heatmap shades each region by its score to help policymakers direct resources, with AI-generated insights suggesting concrete interventions. Pitched to UNESCO, earning an invite to Digital Learning Week 2025 in Paris, and presented on UNESCO's behalf at IEEE's WEEF & GEDC in South Korea.