



Rafan Ahmed
Machine Learning Enthusiast | Full-Stack Developer | CS Student at UNC Charlotte
Specializing in algorithmic trading, quantitative finance, and AI-powered applications.
Teaching machines to trade while teaching myself not to crash the market
My Technical Skills
Machine Learning
From accidentally overfitting models to building actually useful ones. TensorFlow and scikit-learn are my trusty companions for creating trading models that sometimes even make money.
Algorithmic Trading
My SimpleRNN trading strategies have both impressed and horrified myself, professors, and my quant buddies alike. Learning the hard way about backtesting and overfitting pitfalls so you dont have to.
Full-Stack Development
Django REST + Google Gemini = a very nice build for a school software engineering project with 4 other team members. Building apps that help fellow students survive those 3 AM study sessions, one student at a time.
Python
NumPy/Pandas... What more do I need to say?
Leadership & Communication
Translating tech speak into human language, a skill needed for todays Comp Sci majors. I can explain quant trading to both your CS professor and your grandmother.
Still figuring it out, but having fun breaking things along the way
My journey in tech is an endless pursuit of gnosis – the epiphanic moment when confusion transforms into clarity. Each debugging session, each project mishap, and every breakthrough is another revelation in the constant pursuit of knowledge. I build tools that chase this same feeling – algorithms that learn from mistakes and educational systems that create 'aha!' moments for users. This constant cycle of curiosity, confusion, and clarity drives everything I create, turning complex data into meaningful insights and technical challenges into opportunities for growth. The beauty of tech is that the learning never stops – and I wouldn't have it any other way.
LEARN MORE

RNN Trading Strategy (Case Study: Overfitting in Quant Models)
Case study of an overfit QuantConnect RNN trading strategy for SPY. Demonstrates pitfalls of lookahead bias in backtesting ML models.
View DetailsTurning Trading Model Failures into Educational Success
SimpleRNN architecture with walk-forward training on SPY price data. Initially promising backtest results (15% CAR, 0.87 Sharpe), but uncovered critical overfitting issues from lookahead bias that became valuable learning lessons. Results and lessons were presented at UNC Charlotte's College of Computing and Informatics.
About me
I'm a computer science student and machine learning enthusiast dedicated to transforming technical expertise into meaningful, real-world impact. My journey in tech has been fueled by a profound curiosity—a personal mantra centered on the continuous stream of gnosis: always learning, iterating, and refining with each project.
I explored the intersection of AI and finance by developing my first algorithmic trading strategy—a SimpleRNN-based model to trade SPY using QuantConnect. Initially thrilled by promising backtests, I soon uncovered critical issues like overfitting and look-ahead bias. Rather than viewing these as setbacks, I embraced them as learning milestones. I shared these insights at UNC Charlotte, presenting my project as a cautionary case study to help peers avoid similar pitfalls.
Beyond trading, I've also built full-stack web applications. My AI Study Assistant project—developed with Django's REST Framework and Google's Gemini API—demonstrates my ability to integrate robust backend systems and collaborate within a software engineering environment. This tool enhances how users learn and retain information, reflecting my commitment to building technology that supports human development and clarity.
Outside the technical realm, I hold a deep passion for teaching, public speaking, and mentorship—spaces where my commitment to gnosis truly shines. I see knowledge not just as information but as illumination, and this belief shapes how I engage with others. Whether explaining a model or leading a session on mindful productivity, I strive to create dialogue that uplifts and enlightens.
As an Eagle Scout, I led a team of 20+ volunteers to plan and construct a cemetery for a mosque community in Charlotte. This project demonstrated my leadership abilities and commitment to community service, bringing together diverse groups for a meaningful cause, in tech and beyond.
I seek internship opportunities in machine learning, software engineering, or transformative FinTech spaces. My goal is to develop systems that empower users—delivering smarter decisions, measurable value, and open, transparent AI tools that respect both logic and intuition. As an Eagle Scout, I've also carried forward the leadership values that continue to shape my work ethic and service mindset.
Technical Capabilities
Programming & ML
- Python
- TensorFlow
- scikit-learn
- Pandas/NumPy
- Django
- REST APIs
Financial Technology
- Algorithmic Trading
- Quantitative Finance
- Backtesting
- QuantConnect
- Time Series Analysis
- Risk Management
AI Integration
- Google Gemini
- Generative AI
- AI-Assisted Education
- Large Language Models
- ML Model Deployment
- AI Ethics
Professional Skills
- Project Management
- Team Leadership
- Public Speaking
- Technical Writing
- Community Engagement
- Problem Solving
What my partners say about me
Rafan's presentation on quantitative trading models turned a complex topic into an accessible learning experience. His ability to explain overfitting risks and validation procedures showed exceptional communication skills.
UNC Charlotte CCI
Presentation Audience
Working with Rafan on our AI Study Assistant was invaluable. His implementation of the Google Gemini integration elevated our project, demonstrating his ability to combine theoretical knowledge with practical solutions.
Software Engineering Team
ITSC 3155 Project
Rafan's leadership in planning and constructing our cemetery demonstrated exceptional project management skills. His ability to coordinate volunteers and resources while respecting cultural considerations was remarkable.
Local Mosque Community
Eagle Scout Project Beneficiary