AI & Healthcare Research · AIRIL
Md Shahidul Khan Pappo
AI/ML Engineer & Researcher — Computer Vision, Biomedical AI & Healthcare Applications
I build and publish real-time, explainable AI systems at the intersection of Biomedical AI, Machine Learning, LLMs, and Agentic AI — spanning disease and cancer risk prediction, intelligent LLM applications, and autonomous AI systems. I transform research into production-ready solutions using PyTorch, MLflow, Docker, and MLOps, with a focus on scalable, reliable, and deployable AI.
About
From computational theory to intelligent AI systems.
I'm a Computer Science & Engineering graduate from American International University–Bangladesh (AIUB), currently working as a Research Assistant at the Artificial Intelligence Research & Innovation Lab (AIRIL). My work sits at the intersection of machine learning, computer vision, and healthcare — building models that are not just accurate, but interpretable enough for clinicians and researchers to trust.
Alongside research, I ship production-style tooling: MLOps platforms, RAG-based LLM applications, and segmentation systems with real inference pipelines, version-tracked experiments, and REST APIs — not just notebooks.
Education
B.Sc. in Computer Science & Engineering
American International University-Bangladesh (AIUB), with a focus on Computational Theory.
Skills
Technical Skills
Programming
Python · SQL · MySQL · C/C++ · C# · CUDA · MongoDB
AI & Machine Learning
PyTorch · TensorFlow · Keras · Scikit-learn · Transformers · Fine-Tuning · Feature Engineering · Statistics
GenAI & LLMs
LangChain · LangGraph · RAG · Hugging Face · Prompt Engineering
Vector Databases
FAISS · ChromaDB · Semantic Search
Computer Vision
OpenCV · YOLO · Roboflow · Grad-CAM
Backend Development
FastAPI · Flask · Django · REST APIs
MLOps & Cloud
Docker · MLflow · Kubernetes · AWS · CI/CD
Data Analysis & XAI
NumPy · Pandas · SHAP · LIME · Power BI