My Approach
I believe the most complex problems demand a first-principles approach. My work focuses on moving beyond speculation to build verifiable systems that deliver real-world results. I don't just build models; I architect and validate the entire high-integrity environment they need to succeed.
Featured Work
Case Study: Autonomous AI Market Analyst
An autonomous, deterministic system that performs live market analysis and posts intelligent, context-aware updates to social media. This project integrates proprietary feature engineering, deep learning, and multimodal generative AI to create a fully verifiable market analyst.
Read the Case StudyCase Study: ConvoForge & LLM Tooling
A custom desktop application designed to streamline the process of data collection and curation for fine-tuning large language models. This project showcases expertise in building practical, high-quality tools to solve common AI development bottlenecks.
View on GitHubAreas of Expertise
End-to-End System Architecture
Designing and building complete, robust systems from initial concept and data pipeline architecture through to final, production-grade deployment.
Backend & API Development
Developing high-performance backend services and APIs using Python (Flask, PyTorch) and C# (.NET) to power data-intensive applications.
Data Integrity & Validation
Implementing rigorous, multi-stage validation frameworks to eliminate biases and ensure system performance is verifiable and reproducible in live environments.