About Me
I’m an AI engineer specializing in agentic LLM systems, human-centered AI, and optimization—with a strong background in UX and front-end web development. I have 10+ years of experience shipping production web applications.
Notable Achievements
- Reduced ADHD diagnosis time by 80% by building an AI-assisted mental healthcare platform from ideation through early clinical testing.
- Achieved 1500x+ speedups (1 day → 1 minute) by implementing custom GPU parallelization using Python, NumPy, Numba, and CUDA/C.
- Came up with six novel top-performing solutions within my first 100 questions on LeetCode (write-up), including a top 10% runtime and memory solution for a LeetCode Hard (example: Trapping Rain Water — beats 91% runtime and 93% memory).
- 2024 AI Conference Hack Day HackrChallenge Winner (LinkedIn announcement).
- 10+ years shipping production web applications; delivered 30+ end-to-end digital projects across product strategy, UX, and engineering.
Experiences
- Led development of an AI-assisted mental healthcare platform from ideation through early clinical testing.
- Architected low-latency conversational workflows integrating databases, cloud LLMs, and text-to-speech.
- Designed safety guardrails (input validation, PHI filtering, topic boundaries, human fallback routing).
- Designed key components for a scientific theory mining platform for interpretable few-shot learning.
- Implemented GPU-parallel K-means (Python/NumPy/Numba/CUDA C) achieving 1500x+ speedups.
- Built RAG pipelines and LLM-powered interfaces using LlamaIndex and vector databases.
- Drove product strategy, architecture, and commercialization for a private equity research platform.
- Delivered 30+ end-to-end digital projects (UX, branding, A/B testing, iterative optimization).
- Grew user base 20x by launching user feedback initiatives and data-driven onboarding experiments.
- Built a collaborative community platform from scratch with retention-focused UX improvements.
- Led end-to-end front-end development of a cross-institutional fMRI research platform.
- Implemented an Angular architecture enabling shared access to a multi-institution scan repository.
- Visiting Fellow studying AI Interpretability.
Projects
A small selection of personal and product work.
Labrynth - An experimental project exploring interactive experiences and creative tooling.
LeetCode - Notes and top-performing solutions (including a LeetCode Hard in the top 10% for runtime and memory).