📘 About Me
I’m a Computer Science & Engineering student at Ohio State University (Honors, 3.98 GPA), specializing in machine learning, quantitative finance, computer vision, and full‑stack development (jalencode.com). I’ve mentored students as a TA, built automation tools during my internship at Kroger, and competed in hackathons. Keen to tackle challenging problems and collaborate on impactful tech.
- The Ohio State University
Honors B.S. in Computer Science & Engineering & Mathematics (GPA: 3.98) - Undergrad Teaching Assistant at OSU — CSE courses & robotics systems
- Process Automation Engineering Intern at Kroger — Designed ML pipelines (LSTM forecasting, genetic algorithms, simulated annealing) to improve logistics, delivery, and CAD purity
| Category | Skills & Tools |
|---|---|
| Languages | Python, C/C++, JavaScript/TypeScript, Java, SQL, x86-64 |
| Frameworks | React, React Native, FastAPI, TensorFlow, PyTorch, OpenCV, Qt |
| Dev & Cloud | Node.js, Docker, AWS Lambda, Firebase, Stripe, Cloudflare |
| Domains | Machine Learning, Deep Learning, Computer Vision, Quantitative Finance, Blockchain, Full‑stack Development |
Cross‑platform mobile app for college events using React Native, Firebase, AWS Lambda, Stripe, and Cloudflare.
Live demo & GitHub link on portfolio → jalencode.com
AI tool for detecting breaking code changes using FastAPI, CodeBERT, Claude AI, and WebSockets.
Live on portfolio → jalencode.com
Quantitative trading system with PyTorch and ensemble ML models.
PLACE at SIAM2I Quantathon
Real‑time ASL & emotion recognition using TensorFlow, OpenCV, MediaPipe.
HackAI 2025 winner
Custom Unix shell in C, featuring scripting, job control, I/O redirection.
3D‑printed automatic pill dispenser with microcontroller backend & API.
Awarded “Most Original”
- OSU Honors Program (B.S. dual degree; GPA: 3.98)
- Ranked in top spots at OSU HackAI and SIAM2I Quantathon
- Kroger internship led to logistic optimizations and functional ML pipelines
- 📧 Email: francis.628@osu.edu
- 💼 Portfolio & Resume
- 🧑💻 GitHub: @jalenfran
- 🛠️ Interning at Kroger to build scalable data pipelines & ML-powered optimizations
- 💡 Actively building and refining full-stack and AI applications (DiffSense, Clubble)
I’m open to:
- 💼 Internships or full-time roles in ML, software engineering, or quantitative research
- 🤝 Research projects or open-source contributions
- 🗣️ Mentorship, hackathon planning, and developer community events
- Portfolio: jalencode.com
- LinkedIn: linkedin.com/in/jalen-francis
- Resume: jalencode.com/assets/resume.pdf
- GitHub: @jalenfran
- YouTube: @jalencode