About Me
I'm an AI backend and applied ML engineer who builds production systems end-to-end—from LLM/RAG pipelines and PyTorch model training to multithreaded backend services and cloud deployments. My background in mathematics gives me a strong foundation for tackling complex ML problems with rigor and analytical depth.
I founded and lead a 4-engineer team at Market Leader Technologies, where we ship AI-powered SaaS products including Booking Butler AI—a multi-channel AI receptionist handling lead intake, scheduling, and CRM workflows for service businesses. I also spent 3+ years building FDA-regulated healthcare software at RAPID, where safety-critical reliability and traceability were non-negotiable.
I'm currently pursuing an M.S. in Computer Science (AI/ML) at West Virginia University with a 4.0 GPA, deepening my work in computer vision, robotics, and deep learning. Outside of engineering, I'm a competitive distance runner and find that the same discipline it takes to train seriously translates directly to debugging hard systems problems.
Experience
Part Time 2021–2025 · Full Time 2026–PresentFounder / Director of Software Development
Market Leader Technologies Corporation- ▹Founded and lead an AI software company with a 4-engineer team shipping SaaS, automation, and integration products in Go, Python, TypeScript/React, PostgreSQL, Docker, and AWS.
- ▹Shipped Booking Butler AI (2026) — a CRM + AI Agent Platform for SMB owners with Android, iOS, and Web apps, used by real businesses daily. Handles lead intake, qualification, scheduling, and telephony workflows via LLM-powered AI agents built on Go, Python, PostgreSQL, and AWS.
- ▹Own backend architecture for sensitive customer data, including REST/gRPC APIs, RBAC, multi-tenant permissions, authentication, observability, testing, and production deployments.
- ▹Translate ambiguous customer workflows into scoped product plans, architecture decisions, implementation milestones, and shipped releases; mentor engineers through code review and delivery.
GoPythonTypeScriptReactPostgreSQLDockerAWSLLM APIs
Jul 2022 – Dec 2025Software Engineer
Radiopharmaceutical Imaging and Dosimetry (RAPID)- ▹Built a Python/Robot Framework automated validation test system for the company's primary radiopharmaceutical imaging product, supporting FDA validation and ongoing compliance.
- ▹Developed DICOM image segmentation tooling integrated with the OHIF medical imaging viewer, enabling clinicians to perform standardized segmentations inside their existing imaging workflow.
- ▹Delivered regulated software with traceability, reproducible test design, Dockerized tooling, safety-critical reliability, and cross-functional collaboration with clinical and technical stakeholders.
PythonDICOMOHIFRobot FrameworkDocker
Jun 2021 – Jun 2022Software Developer / Consultant
Pratt & Whitney Engine Services- ▹Maintained and extended production control management infrastructure and multithreaded data aggregation services used on the manufacturing shop floor for real-time operational visibility.
- ▹Built Unity/.NET dashboards, SQL-backed monitoring interfaces, WebSocket-enabled intranet tools, and digital board displays for production teams.
- ▹Continue to provide consulting for system enhancements, troubleshooting, and long-term maintainability of the original production-control platform.
C#UnityWebSocket.NETSQL Server
Featured Projects
CRM + AI Agent Platform for SMB owners — shipped in 2026 with Android, iOS, and Web apps. Used by real businesses daily to handle lead intake, qualification, scheduling, and CRM/telephony workflows via LLM-powered AI agents. Built with Go, Python, TypeScript/React, PostgreSQL, and AWS across a 4-engineer team.
Multimodal Stock Market Prediction
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.
Box2Seg Reimplementation
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.
Technical Skills
AI / ML
Backend / Systems
Frameworks & Tools
Cloud / DevOps / Security
Mathematics
Recognition
Mountain State Innovators Summit Finals
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.
Education
Master of Science, Computer Science · Artificial Intelligence
- ▹Focusing on artificial intelligence and machine learning with hands-on experience in deep learning architectures
- ▹Built a multimodal stock prediction system in PyTorch combining time-series and NLP techniques
- ▹Reimplemented the Box2Seg segmentation model from AWS Labs & Oxford directly from the research paper—with no public reference implementation available
Bachelor of Science, Mathematics
- ▹Strong foundation in advanced mathematics including PDEs/ODEs, numerical methods, complex variables, number theory, abstract algebra, dynamical systems, transform methods, and mathematical physics
Science and Mathematics Academy · Advanced STEM Track
- ▹Completed college-level coursework in Calculus III, Differential Equations, Linear Algebra, and Introduction to Proofs through Harford Community College—earning dual credit while in high school
- ▹Designed and built a laser tag system for remote control aircraft as senior capstone project, integrating embedded systems and wireless communication
- ▹Earned 5s on all AP exams and competed in the second round of the Maryland Mathematics Competition
- ▹All-County Band member (trumpet) and varsity track & cross country athlete
Beyond the Code
Middle-distance runner finding speed on the track
Activity Summary
Running & Engineering
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.
Recent Races
| 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 StravaGet In Touch
Interested 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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