# About Me

MB Jallow is an experienced Data Scientist and Machine Learning Engineer with expertise spanning healthcare informatics, sustainable computing, algorithm design, and privacy-preserving systems. Currently pursuing a Master’s in Digital Transformation at Dortmund University of Applied Sciences and Arts, he conducts research in cardiovascular risk assessment, federated learning, and blockchain-based healthcare systems.

Technical Expertise

My work focuses on building intelligent, sustainable, and privacy-conscious systems across multiple domains:

  • Machine Learning & AI: Predictive modeling, deep learning, federated learning, ethical AI, NLP
  • Algorithm Design: Optimization problems, genetic algorithms, graph algorithms, influence maximization
  • Healthcare Informatics: Clinical decision support systems, risk stratification, medical data analysis
  • Bioinformatics: Computational biology, genomic data analysis, biomedical signal processing
  • Privacy & Security: Blockchain systems, federated learning, privacy-preserving ML, secure data management
  • Sustainable Computing: Energy-efficient algorithms, green AI, computational sustainability

Skills & Technologies

  • Frontend: React, Vue, Astro, Angular, HTML, CSS, Tailwind, Bootstrap
  • Backend: Node.js, Python, Flask, FastAPI, Django, Express
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, OpenCV, XGBoost
  • Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, Plotly, SciPy
  • Cloud: AWS, Azure, Google Cloud, Cloudflare, Vercel, Grafana
  • Databases: PostgreSQL, MongoDB, MySQL, SQLite, Redis
  • Mobile: React Native, Flutter
  • Blockchain: Ethereum, Solidity, Web3.js, Hardhat
  • IoT & Embedded Systems: Arduino, Raspberry Pi, ESP32
  • Dev Tools: Git, GitHub Actions, Docker, Kubernetes, CI/CD, Jenkins

Education & Academic Background

  • MSc Digital Transformation (2023 - Present) - University of Applied Sciences and Arts Dortmund, Germany
  • BSc Computer Science & Informatics (2017 - 2021) - University of The Gambia, Banjul, The Gambia
  • Higher National Diploma in Public Health (2012 - 2014) - Gambia College, Banjul, TRhe Gambia

My Journey

MB Jallow’s career tells a compelling story of transformation—from healthcare practitioner to technology innovator. His unique path began as a Public Health Official with The Gambia’s Ministry of Health and Social Welfare (December 2012 - June 2017), where he managed healthcare data, immunization programs (EPI), and disease surveillance at the regional facility level. This experience provided firsthand insight into complex system challenges and the transformative potential of technology.

Driven by a vision to build better tools for solving real-world problems, MB transitioned into software engineering and computer science. As a Software Developer at Guangzhou Panyu Zhifeng Microelectronics Co., Ltd (November 2018 - January 2020), he developed intuitive data visualizations and contributed to Industry 4.0 initiatives, bridging hardware and software systems.

His expertise in machine learning deepened during his role as a Machine Learning Engineer with Omdena (January 2020 - March 2021), where he developed natural language processing models for the World Energy Council, collaborating with international data scientists on sustainable energy challenges.

The entrepreneurial phase of his career began in Shenzhen, China, where he served as Product Manager and later Technical Product Manager at Marshub and SeedStudio (March 2021 - October 2022). Leading multinational development teams, he oversaw full-stack IoT product development, earning recognition as Outstanding Employee of the Year in 2022.

Currently serving as Research Associate at Dortmund University of Applied Sciences and Arts (April 2024 - December 2024), MB leads development of barrier-free web platforms and conducts advanced research in cardiovascular risk prediction and privacy-preserving machine learning. He also works part-time as a Corporate Trainer with The Knowledge Academy, delivering specialized training in content marketing, SEO, project management, and data analysis.

Research & Technical Contributions

MB’s research demonstrates sophisticated understanding of machine learning applications across multiple domains:

Current Research:

  • Master’s Thesis: “Predictive and Causal Machine Learning for Cardiovascular Risk Stratification in the Heinz Nixdorf Recall Study” - Developing privacy-preserving clinical decision support systems
  • Research Project: “Implementation of a Web-based Application for HNR Coronary Artery Calcification Progression Prediction and Integrated Cardiovascular Risk Assessment” - Integrating HNR, MESA-ASCVD, and Framingham risk models into a unified platform

Algorithm Design & Optimization:

  • Bachelor’s Thesis: “Optimized Genetic Algorithm for Influence Maximization in Social Networks using Random Reverse Reachable Sampling” (2021) - Advanced algorithmic solutions for complex network problems

Selected Publications:

  • “Blockchain for Healthcare: A Patient-Centric Data Management Framework for Smart City Ecosystems” - IEEE European Technology and Engineering Management Summit, 2025
  • “Examining the Impact of Team Dynamics in Agile Project Management Success in Software Development: A Systematic Literature Review” - IEEE International Conference, 2023

Mission & Philosophy

My approach to technology is guided by three principles:

  1. Social Impact: Building solutions that address real societal challenges
  2. Sustainability: Designing energy-efficient, environmentally conscious systems
  3. Ethics & Privacy: Prioritizing security, fairness, and transparency in AI systems

Whether working on healthcare informatics, optimization algorithms, or privacy-preserving ML, I focus on creating technology that is not only powerful but also responsible and beneficial to society.