Quant systems / AI infrastructure / systems engineering

Saul Dugan

I build quantitative trading systems, AI-assisted research tools, and low-level software.

Focused on futures trading infrastructure, backtesting, risk controls, Palantir Foundry workflows, and systems-level engineering.

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Featured projects

Technical work across trading systems, research tooling, and low-level software.

Selected case studies with screenshots, implementation notes, and links to public source where available.

AlphaScope Research strategy version detail screen with backtest runs.

AEM / Strategy Research OS

A research operating system concept for organizing strategy ideas, experiment history, validation notes, and decision records.

Research workflow
AI-assisted analysis
Strategy validation

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Opsin Photoreception Lab

A source-driven raylib simulation of retinal isomerization, GPCR activation, and phototransduction mechanics.

Biology simulation
raylib
Systems visualization

Read case study GitHub

Pine Script to NinjaScript translator workspace with conversion records and compile metadata.

TradingView to NinjaTrader Strategy Porting

Porting strategy logic from Pine Script into NinjaTrader/C# while preserving behavior and surfacing platform differences.

Pine Script
NinjaTrader
C#

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Cloud Trading Webhook Server

A cloud-deployed webhook service for receiving trading signals, parsing gateway messages, and coordinating order-flow infrastructure.

Cloud deployment
Webhooks
Trading infrastructure

Read case study GitHub

Tensor operations visualization with matrix values and activation sliders.

C Tensor / Neural Network Library

A low-level C project for tensor operations and neural network primitives with attention to memory and implementation mechanics.

C
Tensors
Neural networks

Read case study GitHub

Event Shield risk policy interface with assistant analysis and linked event policies.

Macro Event Risk Filter

A risk-control concept for filtering trading activity around scheduled macro events and other high-volatility windows.

Macro events
Risk filter
Trading operations

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Skills

A practical stack for building and validating technical systems.

Quant & Trading Systems

Futures
Backtesting
Risk controls
Pine Script
NinjaTrader
Strategy validation

Data & AI

Python
pandas
NumPy
Market data pipelines
AI-assisted research
Overfit analysis

Foundry / Product Systems

Palantir Foundry
Ontology modeling
Workshop apps
Operational workflows

Systems Programming

C
C++
C#
APIs
Webhooks
Memory management
Automation agents

Frontend / Web

HTML
CSS
JavaScript
GitHub
Cloudflare Pages

About

Builder at the intersection of markets, systems, and automation.

I’m a technical builder interested in the intersection of financial markets, software systems, AI-assisted research, and practical automation. My work focuses on turning messy real-world workflows into structured systems: ingesting data, defining models, validating decisions, and building tools that can actually be used.

Contact

Links and resume

Email, GitHub, LinkedIn, and resume links.

Email: sauldugan@gmail.com
GitHub: github.com/sdugan05
LinkedIn: linkedin.com/in/saul-dugan
Resume: View profile