Curriculum Vitae
Education
Bachelor of Science in Computer Science
University of Louisiana at Lafayette • December 2024
Magna Cum Laude, 3.83 GPA, Distinctive Researcher Designation
Accelerated Timeline: Completed degree in 2.5 years
Relevant Coursework: Artificial Intelligence, Machine Learning, Software Engineering, Human-Computer Interaction, Data Structures and Algorithms
High School Diploma
Louisiana School for Math, Science, and the Arts (LSMSA) • 2022
President, Computer Science Club
Specialized program for academically gifted students interested in STEM fields
Experience
Lead Backend Developer
BeNakama (London-based EdTech Startup) • February 2025-Present
- Developing AI-powered classroom systems and "Ascend" gamified learning tool for UK high schools
- Leading AI student question system design for best-fit academic ability matching
- Managing international development team remotely from Louisiana
- Focusing on accessibility solutions for students with learning difficulties
Principal Researcher
ULL DADL Lab - Dr. Aminul Islam • 2023-2024
- Investigated curriculum learning approaches for image classification CNNs
- Presented research at IBM Thomas J. Watson Laboratory (AICS'24)
- Key finding: wavelet entropy alone produced poor results for curriculum design
- Developed expertise in experimental design and statistical modeling
Tech Lead
Aluminotes • 2023-2024
- Led 3-person development team creating AI-leveraging note-taking app for students with disabilities
- Won 1st place in Inn-eaux-vate pitch competition
- Implemented Django backend with accessibility-focused design principles
- Coordinated full-stack development using JavaScript, Python, and HTML
Leadership & Activities
President - Computer Science Club
Louisiana School for Math, Science, and the Arts • 2021-2022
- Led student organization focused on computer science education and outreach
- Organized programming workshops and technology education initiatives
- Mentored students interested in computer science and technology careers
Honors & Recognition
Academic Achievements
University of Louisiana at Lafayette
- Magna Cum Laude Graduate (3.83 GPA)
- Distinctive Researcher Designation (2.5-year completion)
- Five-Time President's List recognition
Competition Awards
- 1st Place - Inn-eaux-vate Pitch Competition (Aluminotes project)
- Research Presentation - IBM Thomas J. Watson Laboratory (AICS'24)
Honors & Recognition
Academic Achievements
University of Louisiana at Lafayette
- Magna Cum Laude Graduate (3.83 GPA)
- Dean's List recognition
Technical Skills
Programming & Development
- Languages: Python, JavaScript, Java, C++
- Web Development: HTML, CSS, Django, React
- Machine Learning: TensorFlow, PyTorch, scikit-learn
- Tools: Git, Linux, SQL, Visual Studio Code
Research Interests
Areas of Interest for Graduate Study
- Human-Computer Interaction and Learning Systems
- Machine Learning Applications in Education
- Accessibility and Inclusive Technology Design
- Cognitive Science and AI
Publications & Presentations
"Curriculum Learning for Image Classification CNNs"
IBM Thomas J. Watson Laboratory (AICS'24) • 2024
Research presentation on wavelet decomposition and complexity-based curriculum learning approaches
Awards & Recognition
1st Place - Inn-eaux-vate Pitch Competition
Aluminotes Team • 2024
AI-leveraging note-taking app for students with disabilities
Distinctive Researcher Designation
University of Louisiana at Lafayette • 2024
Recognized for research capabilities and completion of accelerated degree program
President's List (Five Times)
University of Louisiana at Lafayette • 2022-2024
Achieved President's List recognition throughout degree program
Magna Cum Laude & Honors Graduate
University of Louisiana at Lafayette • 2024
Graduated with 3.83 GPA and honors designation
Technical Skills
Programming
Python, JavaScript, HTML, Django, React
AI/Machine Learning
CNNs, Curriculum Learning, TensorFlow, PyTorch, Wavelet Analysis
Frontend Development
React, Mantine UI, Three.js, JavaScript
Research & Analysis
Statistical Modeling, Experimental Design, Academic Presentation
Research Interests
AI-powered accessibility systems, human-AI collaboration in education, cognitive load calibration, real-time motivation detection, educational technology for students with learning difficulties, curriculum learning methodologies, computational models for personalized learning.
Mission Statement
My journey from being an "Edgenuity victim" to EdTech innovator drives my commitment to creating educational technology that serves learners rather than frustrates them. Having experienced educational inequality from rural Louisiana classrooms to cutting-edge London EdTech development, I understand how technology can either bridge or widen educational disparities.
I believe that understanding how humans learn is the key to designing technologies that fundamentally transform learning outcomes. My work prioritizes genuine learning over compliance metrics, with every design decision centered on accessibility for students with learning difficulties and disabilities. When we design for the margins, we create better solutions for everyone.