AI Engineer · Data Scientist · Seattle, WA
MS Data Science candidate at Seattle University. I build production-grade AI systems at the intersection of machine learning, hardware interfaces, and real human problems.
Tap Apply on a job card displayed on Meta Ray-Ban Display glasses. 60 seconds later, a Claude-tailored LaTeX resume PDF lands in Gmail. Neural Band gesture → Vercel → Adzuna → Claude scoring + tailoring → tectonic LaTeX → Gmail SMTP. Hands-free. No laptop.
Production-deployed perfume recommendation RAG — hybrid BM25 + semantic search with Reciprocal Rank Fusion across 1,800 fragrances. Sub-500ms latency, $0.001 per query, 126 real user searches. CI/CD auto-deploys, 10 production issues resolved live.
Paste a cooking reel URL. GPT-4o Vision samples keyframes + NLP parses captions. Custom ingredient resolver deduplicates, hits Amazon + Walmart APIs for live prices, forecasts 4-week grocery budget within ±8%, exports structured Excel. 20 minutes → 45 seconds.
More Work
Quantified how GPT and Gemini distort moral framing, sentiment, and gender representation across 200 narratives. SBERT, BERTScore, BERTopic, UMAP, HDBSCAN.
Revenue management forecasting across 3 NDA hotel properties. ARIMA, XGBoost, Random Forest benchmarked. Automated BI dashboards for stakeholders.
Async job processing with priority scheduling and dead letter recovery. Redis + Azure Service Bus. 94% message loss reduction, 99.2% uptime.
Three-tier GPU-resident guardrail cascade with Bayesian confidence router. Fast embedding classifier under 5ms, LLM judge under 500ms.
4 virtual GPU nodes simulating distributed AI training. DCGM + Prometheus + Grafana. Ansible + Terraform IaC cut cluster setup from 3 hours to 15 min.
IEEE-published multimodal deep learning. Xception + ResNet-50 + LSTM late fusion on ISIC dataset (2,357 images, 7 classes). ~90% accuracy.
Experience
Publication
About
MS Data Science candidate at Seattle University, graduating June 2026. Applied ML, production AI systems, and emerging hardware interfaces.
From sub-$1 RAG pipelines to wearable AI co-pilots on Meta Ray-Ban glasses — I care about systems that work in the real world, not just notebooks.
IEEE-published. Azure certified. F-1 OPT STEM extension. No sponsorship required.
Get In Touch
Open to full-time roles in Data Science, ML Engineering, and AI Engineering.
Available June 2026 — no sponsorship required.