Khaleel Hamad

(801) 500-4700khamad@byu.eduLinkedInGitHubWebsite

Education

BS in Computer Science with an Emphasis on ML (Honors, GPA: 3.7)

April 2027

Brigham Young University, Provo, UT

  • Minor in Business management and Logic
  • Relevant Coursework: Human Computer Interactions, ML Fine tuning, Artificial Intelligence, Data Science, Game Development, Android development, Computer Vision

Skills

Programming Languages

Python (NumPy, Pandas, Matplotlib, Plotly, PyTorch, Scikit-Learn, TensorFlow, Databases), C++, C#, Problem-Solving

Web & Mobile Development

HTML, CSS, JavaScript, MongoDB, Node.js, Android Development, Unity Game Development

Technical Skills

Design Thinking, Data Analysis, Machine Learning, Software Development

Experience

AI/ML Developer: NLP & CV

Sep 2025 – Present

Edna AI and Elanor, Provo, UT

  • Created a Dagbani-English database of over 100,000+ text pairs sourced from the Bible and dictionaries to preserve and expand the language's digital presence
  • Designed and benchmarked computer vision models for golf pose estimation, improving accuracy by 20% (to 93%) while reducing latency under variable lighting and angles
  • Trained a transformer-based translation model capable of real-time Dagbani ↔ English translation with measurable improvement in linguistic coherence

Data Scientist / ML Module developer

Sep 2024 – Present

Division of Continuing Education at Brigham Young University, Provo, UT

  • Designed and deployed a full-stack web platform (MongoDB, Node.js, React, Python) for cross-departmental analytics, used regularly by 3 departments and 12 analysts
  • Delivered analytical tools including sentiment analysis, factor analysis, and persona generation, reducing analysis time by over 90% and supporting datasets of 400,000+ sentences
  • Enhanced data accessibility and decision-making efficiency through automated persona creation and real-time virtual focus group simulations

Full stack Intern

Jan 2025 – April 2025

Kreatize GmbH, Berlin, Germany

  • Prototyped a real-time computer vision system using OpenCV and MediaPipe, achieving 96% accuracy in rep counting and improving gym training analytics
  • Launched a production-grade Nuxt.js website supporting 2,000+ concurrent users, enhancing layout and interactive UI for seamless performance
  • Developed multi-script data collection systems integrated with Holi to process data from 50+ gym machines simultaneously, enabling personalized equipment tracking and form monitoring

Research Assistant, later Team Leader

October 2023 – Present

Brigham Young University Social Technology and Privacy Lab with Prof. Xinru Page, Provo, UT

  • Conducted data science research focusing on social technology and privacy implications
  • Led team in developing research methodologies and analytical frameworks

Data Science Research/Learning Position

Jan 2024 – Aug 2024

BYU-City Tech Undergraduate Data Science Program, New York, NY

  • Participated in intensive data science research and learning program
  • Developed advanced analytical skills through hands-on research projects

Personal Technical Projects

AI / Machine Learning Projects

  • Built a Dialectal Arabic Chatbot with a custom transcription model to collect scarce dialectal data
  • Led the AI Club team to develop a TensorFlow Playground clone
  • Developed and fine-tuned a Large Language Model (LLM) on Arabic text in the Palestinian dialect

Research & Publications

  • Published a CS paper with INSAR on neurodivergent challenges in online communities
  • Presented mathematical knot research combining algebra and topology in New York