I design systems that remain
clear under pressure.
Backend engineer building scalable architectures, AI systems, and quiet infrastructure.
The strongest structures are the ones you stop noticing.
They just hold.
How I
think.
I think in systems before I think in code. My instinct is to find the structure beneath a problem — the constraints, the flows, the edges where things break — before writing a single line.
Backend engineer at Comcast. I build Salesforce platforms, scalable infrastructure, and AI tools that stay quiet under pressure. Outside of work, I explore what machines can do when you give them agency — local LLMs, agent swarms, emergent simulations.
I care about work that lasts.
What I've Built
Atlas AI
A local RAG-based knowledge assistant that indexes documents and answers questions entirely offline.
No cloud dependency. Your knowledge stays yours.
Sensor Doorbell
IoT smart home security with vibration detection, camera capture, and remote keyless unlock.
Runs on a Raspberry Pi Zero 2 W. Physical computing at the edge.
Notes on
Building Well
"Complexity grows naturally. Simplicity must be maintained."
"Systems fail at the edges, not at the center."
"The best architecture is the one that disappears. You use it every day and never think about it."
What I Do
-
01
Systems Design
Distributed architectures, API design, scalable backends.
-
02
Backend Engineering
Java, Spring Boot, Python, FastAPI, Node.js.
-
03
AI Systems
RAG pipelines, vector embeddings, local LLM infrastructure.
-
04
Salesforce Development
Apex, LWC, API integrations, integration procedures and platform architecture.
Experience
Work
Development Engineer 2
Comcast
Salesforce development — Apex, LWC, and JavaScript for internal and customer-facing platforms. Involved in architecture decisions, cross-system API integrations, and integration procedure design.
Development Engineer 1
Comcast
Salesforce development across internal tools and customer platforms. Built Apex classes, LWC components, and API integrations connecting Salesforce to external systems.
Independent
Agent Swarms & Simulation
- ·Agent swarms with influence graphs
- ·Real-time simulation & emergent behavior
- ·LLM orchestration at scale
Exploring AI Systems
Local LLMs, RAG pipelines, multi-agent simulations.
IoT & Physical Systems
- ·Sensor-driven access control on Raspberry Pi
- ·GPIO, solenoid locks, vibration detection
- ·Shell scripting for automation & system startup
- ·RTSP camera streaming & push notifications
ML Foundations
- ·Supervised & unsupervised algorithms
- ·Regression, decision trees, clustering
- ·Neural networks & gradient descent
Open to meaningful work
and interesting systems.
If you're building something that values clarity and long-term thinking, let's talk.