Aviation Index
Production aviation data platform for industry professionals. Full-stack development with React, TypeScript, and NestJS.
- React
- TypeScript
- NestJS
- Production
boot portfolio v2.0
▸ ready — rendering UI
▸ Hi, my name is
Software Engineer & AI/ML Researcher — MSCS @ Universiti Malaya, Kuala Lumpur. Full-stack developer with live aviation platforms and a published Google Play app. Open to remote worldwide.
muhammad-tahir@portfolio:~$ whoami
muhammad-tahir
muhammad-tahir@portfolio:~$ cat role.json
{
"role": "Software Engineer & AI/ML Researcher",
"focus": ["Agentic AI", "React", "PyTorch", "NestJS"],
"location": "Kuala Lumpur, MY"
}
muhammad-tahir@portfolio:~$ _
I'm a Software Engineer and AI/ML Researcher pursuing an MSCS at Universiti Malaya, Kuala Lumpur, after completing my BS in Computer Science at FAST-NUCES, Pakistan. My interests span Agentic AI, multi-agent systems, healthcare AI, and scalable intelligent software.
My current research focuses on multi-agent, AI-driven healthcare, cardiac MRI analysis, deep learning for medical imaging, and RAG-based systems that integrate clinical guidelines into diagnostic pipelines. I'm especially drawn to explainable and trustworthy multi-agent AI for clinical applications.
Alongside research, I've shipped production web and mobile apps with React, React Native, NestJS, Spring Boot, and Node.js, including Aviation Index and TrackOps. I've also explored blockchain-integrated AI with Solidity and Multichain. Dean's & Rector's List honouree; Gold Medal for academic excellence.
Technologies I work with:
Production aviation data platform for industry professionals. Full-stack development with React, TypeScript, and NestJS.
Live aviation operations tracking platform used by aviation companies.
Published cross-platform mobile app on Google Play with real-time ride tracking.
2024 – Present
Multi-agent pipeline for cardiac MRI analysis and HCM detection using 3D ResNet-18. RAG integration of clinical guidelines into diagnostic workflows; focus on explainable, trustworthy agentic AI.
May 2025
CNN-based Alzheimer's SNP identification (75% accuracy). Phenotype Influence Score outperformed XGBoost and Random Forest.
I'm currently open to remote opportunities and interesting collaborations. Whether you have a question or just want to say hi, my inbox is always open!