I'm a software engineer who thrives on solving complex technical challenges with precision and efficiency. My background in mathematics gives me a unique edge—I naturally reach for sophisticated algorithms and analytical approaches that others might overlook.
Today, I lead technical direction for multiple sensitive projects, mentor engineers, and build full-stack applications that operate in regulated, high-stakes environments. From FDA-regulated healthcare software to multithreaded production systems and SaaS platforms handling PII, I believe great software requires both strong architectural thinking and meticulous attention to reliability, security, and testing discipline.
Outside of engineering, I'm a competitive distance runner—I've been racing for years and find that the mental discipline translates well to debugging complex systems. I also love spending time with my family, exploring trails, and getting outdoors whenever I can.



Built a multimodal neural network combining time-series price data and news text embeddings to predict stock market movements. Implemented in PyTorch as part of graduate coursework, demonstrating end-to-end ML pipeline design from data ingestion to model evaluation.

Reimplemented the Box2Seg image segmentation model from AWS Labs and Oxford directly from the research paper—without any public reference implementation or GitHub repository to work from. Successfully trained and validated the model.
Competed in the finals at Stonewall Resort, pitching Market Leader Technologies' BotHQ AI platform to judges and winning 3rd place in the James Davis Graduate Pitch Competition. The Summit brought together finalists from across West Virginia for eight live pitch competitions with more than $300,000 in prizes.
BotHQ AI helps local businesses design and refine AI agents that make everyday customer communication easier—turning missed calls and messages into automated, intelligent responses.
"This 3rd place finish isn't the destination—it's fuel."
Competing alongside middle and high school teams, veteran-owned businesses, and other West Virginia founders reminded me that innovation happens when communities invest in people willing to take risks on new ideas.
More achievements and recognitions to come as I continue building at the intersection of AI, software engineering, and entrepreneurship.



Middle-distance runner finding speed on the track
Track running taught me that improvement is all about consistent effort and measurable progress. Each lap, each interval session, each race—just like debugging and building software—demands focus, patience, and the willingness to push through discomfort.
Coming back from an ankle injury this past summer has been humbling. Dropping from 50-60 miles per week to 30-60 as I rebuild reminds me that setbacks are temporary—whether you're recovering from an injury or fixing a production bug at 2 AM.

| Race | Date | Distance | Time | Place |
|---|---|---|---|---|
| 1500m Track Race | Spring 2025 | 1500m | ~4:32 | PR |
| Turkey Trot | November 2024 | 5K | 17:03 | 5K PR |
Want to connect over miles or code?
Follow on StravaInterested in collaborating, have an opportunity, or just want to connect? I'd love to hear from you! Feel free to reach out via email or connect with me on social media.
daniel@danielfournier.techRunning enthusiast?
Let's talk about training strategies, race goals, and how debugging code is surprisingly similar to long-distance running. 🏃♂️
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