Mubarak Adisa

MUBARAK ADISA Skills • Languages: Python, SQL, R, HTML • Databases: MongoDB, MySQL • Visualization & Tools: Tableau, Power BI, Excel • Data Science & ML: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Machine Learning, Regression, Ensemble, NLP, Computer Vision, Deep Learning, Airflow, MLflow, Generative AI, LLMs, Prompt Engineering, LangChain, RAG • Cloud & DevOps: Huawei Cloud, AWS, Azure | Docker, Kubernetes, Huggingface, MLflow, GitHub Actions, CI/CD, Flask, FastAPI, Model Deployment, API Automation Professional Summary AI Engineer with a strong foundation in Civil Engineering and Computer Science, specializing in designing, developing, and deploying scalable AI systems. Experienced in deep learning, NLP, Generative AI, and LLM frameworks such as LangChain and Hugging Face. Skilled in building end-to-end AI pipelines, integrating cloud services (AWS, Azure, Huawei Cloud), and deploying AI solutions via MLOps workflows. Proven track record of transforming complex real-world problems into AI-driven solutions across education, environmental sustainability, and business domains. Work History Front Model College, Ibadan Teacher (Mathematics, Statistics) 05/2024 – Current • Led a student performance prediction project using Random Forest and CatBoost, demonstrating practical applications of data science in education. • Integrated coding exercises, predictive analytics, and data visualization to make math and statistics engaging and data-driven. StackUp (Remote) Freelance AI/ML Developer 09/2022 – Current • Built end-to-end AI solutions, including cross-modal multimedia retrieval and GenAI-powered TTS applications. Independent / Freelance Projects, Ibadan Data Scientist / Analyst 04/2021 – Current • Delivered ML/AI projects including bankruptcy prediction, chatbots, and environmental monitoring applications. Education University of Ibadan, Nigeria B.Sc. Civil Engineering (Water & Environmental Engineering) 09/2019 – 01/2026 • Final-year project: Exploring Flood Risk Assessment (Geospatial Machine Learning & Hydraulic Modeling). University of the People (Online) B.Sc. Computer Science 09/2022 – Current • Coursework in Algorithms, Data Science, and AI (placeholder) Project Work • Chicken Disease Classification (Deep Learning, Flask, CI/CD, DVC) – Automated detection of coccidiosis in poultry with 95.7% accuracy using VGG16. • Text Summarization (NLP, Seq2Seq, Transformers) – End-to-end abstractive summarization pipeline with Flask interface, leveraging Hugging Face Transformers. • Student Performance Indicator (ML, Flask, CI/CD, Azure, AWS) – Predict students’ math scores using socioeconomic academic factors; deployed ML pipeline with CatBoost, Random Forest, and 7 ML models. • Gemstone Price Prediction (ML, Flask, MLOps) – End-to-end pipeline predicting gemstone prices with regression models, CI/CD, DVC, Apache Airflow, and deployment on Azure AWS. Certifications & Licenses • Huawei Cloud Developer Certification (HCCDA-AI) – Huawei Cloud • Applied Data Science Lab – WorldQuant University • Machine Learning in Python – 365 Data Science • Databases and SQL for Data Science with Python – IBM • Network and Application Security – University of the People