Here's What I Do
A focused mix of research, engineering, and teaching so AI work ships, sticks, and scales.
Production-grade machine learning from data to deployment with an eye for reliability and measurable uplift.
- End-to-end ML pipelines (data -> model -> deploy).
- Computer vision for detection, classification, and segmentation.
- LLM fine-tuning and evaluation (GPT-4o, Llama 3, and peers).
- MLOps: Docker + MLflow + Hugging Face for reproducibility.
Evidence-driven analytics that turn messy data into clear narratives and confident decisions.
- Predictive analytics, experiment design, and impact measurement.
- Feature engineering and model selection for business KPIs.
- Exploratory analysis and storytelling for stakeholders.
- Dashboards and self-serve insights (Tableau, Streamlit).
Creative gen-AI workflows with controllability, evaluation, and practical guardrails.
- ComfyUI workflows for SD, SDXL, and Flux checkpoints.
- LoRA style transfer and checkpoint merging.
- Local LLM prototyping with open-source models.
- Cross-modal generation strategies with safety checks.
Curious builder who treats research like a product: scoped, reproducible, and published.
- Designing novel deep learning architectures for real use.
- Systematic literature reviews to map gaps and trends.
- Publishing peer-reviewed work and speaking at conferences.
Trusted tinkerer for reliable rigs, clean thermals, and smooth multi-OS setups.
- Custom rigs for gaming, AI, and workstation needs.
- Diagnostics and performance optimization.
- Multi-OS setups, virtualization, and dual-boot care.
- Driver, firmware, and bottleneck troubleshooting.
Hands-on coach who turns complex topics into practical steps with demos and exercises.
- Mentoring students and professionals.
- Hands-on workshop facilitation.
- Beginner-friendly technical content.
- Live demos that de-risk adoption.
Focus area
ML & AI
Production-grade machine learning from data to deployment with an eye for reliability and measurable uplift.
- End-to-end ML pipelines (data -> model -> deploy).
- Computer vision for detection, classification, and segmentation.
- LLM fine-tuning and evaluation (GPT-4o, Llama 3, and peers).
- MLOps: Docker + MLflow + Hugging Face for reproducibility.
Models
Career Highlights
A timeline of my professional journey, key achievements, and educational background.
Bachelor in Computer Science (Honours)
Albukhary International University, Malaysia
Major courses: Machine Learning, Deep Learning, Artificial Intelligence, NLP, Data Structures and Algorithms, Probability & Statistics, Statistical Programming
Data Engineer Intern
PPK SDN BHD
Designing predictive models for maintenance, automating data pipelines, and enhancing CMMS analytics.
Freelance Data Scientist
Fiverr
Delivering data analytics solutions, building predictive models, and automating workflows for diverse client projects.
Albukhary Foundation
Awarded Albukhary Foundation scholarship for pursuing Bachelor Degree
Awarded a fully funded Albukhary Foundation scholarship to pursue a Bachelor's degree, supporting academic and personal growth.
Albukhary International University
Dean List's Awards, School of Computing and Informatics
Consistently recognized on the Dean's List for outstanding academic performance across multiple semesters.
Bangladeshi Students Community AIU
Secretary
Created opportunities for cultural exchange and built a supportive community for Bangladeshi students, while maintaining communication with university officials.
Bangladeshi Students Community AIU
Academic Advisor
Guiding community members in achieving personal and academic goals while preserving cultural values.
AWS Academy Graduate - Machine Learning Foundations
Amazon Web Services Training and Certification
Completed the AWS Academy Machine Learning Foundations course, gaining skills in machine learning, AWS cloud computing, and AI fundamentals.
Verify CredentialMachine Learning in Production
DeepLearning.AI
Covered applied machine learning, the software development life cycle (SDLC), and best practices for deploying ML systems.
Verify CredentialTechnologies & Tools
A look at the core technologies I use to craft scalable, intelligent solutions.
Languages & Core Libraries
Machine Learning & AI
DevOps & Collaboration
Analytics & Visualization
Portfolio Showcase
Explore my journey through projects that showcase my skills and dedication to continuous learning.
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Projects
Deep Learning & Computer VisionRadiogenomic Characterization of Lower-Grade Gliomas
U-Net pipeline for segmenting FLAIR MRI abnormalities in LGG. Extracts tumor shape features to support radiogenomic analysis and clinical insights.
Web ApplicationsWork Order Processor
A lightweight web app that streamlines work order management. It ingests spreadsheets, auto-categorizes issues, assigns priorities, and flags items for manual review. Users can generate charts and text insights directly in the browser.
Web ApplicationsShahaba Alam - Data Scientist Portfolio
A modern, fully responsive personal portfolio website (Next.js + Tailwind + Framer Motion) with animations, interactive sections, and serverless contact form.
Writings & Publications
Exploring ideas and sharing findings. A collection of my research papers and blog articles.
AI-Driven Diagnosis of Neurological Disorders Using Brain MRI
Md Serajun Nabi, Md Rashidul Islam, Shahaba Alam, Md Shakil Hossain, and more
Multimedia University Engineering Conference (MECON 2025)
Personalized Study Plan System
Safuan, H. A. J., Shahaba Alam, Aung, W. Y.
Presented at the 7th International Conference on Interdisciplinary Computer Science and Engineering (2025)
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
S. M. Saky, M. R. Islam, M. S. Arefin, Shahaba Alam
arXiv preprint arXiv:2512.00563 (2025)
Let's Connect
Have a project in mind or just want to say hello? I'm always open to new opportunities and conversations.
Contact Information
Name
Shahaba Alam
shahaba.alam@student.aiu.edu.my
Location
Alor Setar, Kedah, Malaysia