AI / ML ENGINEER
I ship PyTorch models to production — computer vision, generative systems, and the full stack around them.
SP-01 · Searchlight Protocol
Pipeline for small-object detection in high-resolution aerial imagery. Intelligently slices regions of interest, skipping 80%+ of empty background before fine inference.
View repository →
NC-03 · Neural Canvas
Feed-forward neural style transfer with perceptual loss via VGG-16 — shipped to Hugging Face with ONNX export.
View repository →PQ-02 · PixelQueue
React-Konva canvas, FastAPI, Celery workers, Redis broker, and PostgreSQL for human-in-the-loop vision pipelines.
View repository →{"id": 1042, "class": "car"}
| 1042 | car | 0.94 |
| 1041 | truck | 0.89 |
$ pygog "Schedule a meeting with the ML team for Thursday"
Parsing intent…
Detected: Calendar.CreateEvent
Resolved: ML Team → 5 contacts
Found slot: Thu 2:00 PM – 3:00 PM
Event created · 5 attendees notified
$ ▍
PG-04 · PyGOG CLI
Natural language in, tool routing out. An agentic Google Workspace CLI that parses intent and orchestrates across Calendar, Gmail, Drive.
View repository →CNN architectures, training dynamics, evaluation pipelines from scratch.
Monocular depth, custom detectors, real-time inference pipelines.
GANs, neural style transfer, VGG perceptual loss research.
Neural Canvas on Hugging Face — research notebook to ONNX export.
Async infra, LLM agent orchestration, production deployment.
Every capability below is bound to a system I shipped — not a self-rating.
Coarse-to-fine detection of small objects in high-resolution aerial imagery — slicing regions of interest and skipping 80%+ of empty background before fine inference.
Feed-forward neural style transfer trained against a VGG-16 perceptual loss, exported to ONNX and shipped as a live demo on Hugging Face.
Async, human-in-the-loop annotation at scale: Celery workers behind a FastAPI gateway, a Redis broker, a PostgreSQL store, and a React-Konva labeling canvas.
Natural-language intent parsed into authenticated tool calls, orchestrated across Google Workspace — Calendar, Gmail, and Drive — from a single command line.
Open to AI/ML research, internships,
and full-stack roles where perception systems matter.