Share Profile
Muhammad Shayaan
Aspiration Statement
Computer Science student interested in Artificial Intelligence and Software Development. I enjoy building practical technology solutions, including speech recognition systems, mobile apps, and AI tools for real-world problems.
Core Skills
- Authentication Systems
- Firebase
- Flutter
- Node.js
- Next.js
- PyTorch
- Real-Time Messaging
- Real-Time Synchronization
- REST APIs
- Scalable Cloud Deployment
- Sentiment and Emotion Detection Models
- Transformers
- Urdu Speech Datasets
- Whisper Models
Core Competencies
- Agility
- Strategic Thinking
Preferred Career Paths
First priority: Artificial Intelligence/Machine Learning Engineer
Second priority: Backend/Systems Engineer
Third priority: Mobile Application Developer
Academic Awards / Achievements
- Dean's List 2024
Experience
Leadership / Meta-curricular
- Student Technology Projects And Hackathon Participation
Internship / Volunteer Work
- Devco (Private) Limited, Artificial Intelligence Research Assistant (June 2025 – June 2026)
Publications / Creative Projects
- Research Paper – Research paper titled “Emotion Detection from Urdu Speech” published on ResearchGate
- Research Paper – The research focuses on applying transformer-based deep learning models to detect emotions from Urdu speech using a custom dataset
- Research Paper – Link: https://www.researchgate.net/publication/397037102_Emotion_Detection_from_Urdu_Speech
Final Year Project
Project Title
Adaptive Boss AI for Dynamic Gameplay in a 2D Platformer
Description
Adaptive Boss AI is a revolutionary project that changes how video game enemies behave. Unlike traditional bosses that follow fixed patterns, our system learns from each player in real time. It observes movement, attacks, defenses, and weapon choices, then adapts its strategy to create unique, unpredictable encounters. This approach makes games more engaging and replayable. Beyond gaming, the same AI framework can improve education, training simulations, and therapy by adjusting challenges based on user behavior. By combining rule-based logic, data-driven strategies, and machine learning, this project introduces a completely new level of interactive intelligence that has never been implemented in real-time, player-facing systems before.
Project Pictures
