AI Engineer · TitanCloud
Building production ML systems that actually ship.
Most of the work of an LLM pipeline happens upstream of the model. I write about the layers that filter, route, and validate before a single token is spent — and I build them for a living.
Recent Writing
All essays →Four layers before the LLM: the gatekeeper pattern
How a stack of cheap classifiers cuts a document-IDP bill by an order of magnitude without ever waking the model.
The cheapest token is the one you don't send
Routing, retrieval, and a small set of decisions about which questions a model should never see.
Production ML is mostly not ML
A field report from a three-agent IDP pipeline: what breaks first, what's worth automating, and where humans still earn their seat.
Selected Work
All projects →TitanCloud — Document IDP and the Gatekeeper Pipeline
· AI EngineerA three-agent IDP pipeline on Amazon Bedrock with a four-layer gatekeeper in front. Filters 92% of input before any LLM token is spent, routes the rest by intent, and closes the loop on human corrections.
- · Python
- · AWS Bedrock
- · EfficientNet-B0
- · OpenCV
- · MCP
- · Neo4j
- · EventBridge
- · Amazon A2I
Manufacturing surface-defect detection (NAMRC/MSEC 2025)
· Graduate ResearcherA vision pipeline for live surface-defect detection on machined parts, published at NAMRC/MSEC 2025. Combined classical image features with a small CNN to keep inference under 30 ms on workshop hardware.
- · Python
- · PyTorch
- · OpenCV
- · ONNX Runtime
- · Jetson Nano
About
I’m an AI Engineer at TitanCloud. I hold an MS in Data Science from Gannon University, completed December 2025 with a 4.0 GPA.
Before TitanCloud I shipped on-device computer vision at BitsKraft and ran the shared ML infrastructure for a research group of seven faculty. I care more about the boring layers of a system than the model at the bottom — because the model is rarely what’s broken.
Contact
Looking for a full-time AI / ML role starting mid-2026. F-1 OPT, open to relocation.
Best way to reach me is email. I read everything and reply to most things within a day or two.