Building and deploying production-grade AI systems — from computer vision and NLP to LLM/RAG applications — with 4+ years of experience and 92%+ average model accuracy across 15+ projects in security, advertising, agriculture, healthcare, and EdTech.

💬 Ask me about Machine Learning, Deep Learning, LLMs/RAG, MLOps & Data Engineering
📫 Reach me at odusinaoluwasegun@gmail.com
🌐 LinkedIn • Medium

• AI Infrastructural Engineer @ Hayrok (Network Security) — building AI-driven agents for pentesting, threat detection, attack surface monitoring & fraud detection
• AI Facilitator @ [AI] Academy — designing advanced AI course content & mentoring learners
• Machine Learning Engineer @ Omdena — ML for social impact, processing 100K+ data points at 94% avg. accuracy
• Pursuing MSc Information Technology @ Mivas Open University (in-view)

Languages: Python, SQL, PySpark, R

Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost, Random Forest, SVM, Neural Networks

Deep Learning: CNN, RNN, LSTM, Transformers, Transfer Learning, Computer Vision, NLP

LLMs / GenAI: OpenAI GPT-4, LangChain, Hugging Face, RAG, Pinecone Vector DB

MLOps & Deployment: Docker, Kubernetes, AWS SageMaker, MLflow, Git, CI/CD, Model Monitoring

Cloud: AWS (EC2, S3, Lambda, SageMaker), Google Cloud Platform, Azure ML

APIs/Frameworks: FastAPI, Streamlit, Flask

Databases: PostgreSQL, MySQL, SQLite, MongoDB, Pinecone, Redis

Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly

• Generative AI Medical Chatbot — RAG-powered medical assistant (OpenAI GPT-4, LangChain, Pinecone, FastAPI, AWS) serving 1,000+ healthcare queries at 92% user satisfaction; cut query response time by 60% via vector similarity search; deployed on AWS at 99.9% uptime for 10K+ concurrent users.
• WazobiaApp (Nigerian Translator) — LangChain + FastAPI/Streamlit app translating English to Hausa, Igbo, and Yoruba.
• Contract Review AI — Identifies key clauses, rights, and obligations in contracts to streamline legal review.

• Talking Face Generation (FACIAL Framework) — 3D facial reconstruction from 2D images + audio for lip-synced, multilingual advertising video generation.
• Traffic Analysis System — YOLOv8 + OpenCV real-time vehicle detection (91% mAP) on 25K+ annotated images; +300% augmented training data.
• Face Recognition (VGG16 Transfer Learning) — 95% accuracy on 5K+ celebrity images.
• Emotion Detection (CNN, FER2013) — Real-time inference at 30 FPS.
• Object Detection (YOLOv6) — Marine life identification, 88% mAP, deployed on edge devices.
• Facial Features Detection (Dlib)
• Crop Disease Classification — ResNet50 transfer learning, 94% accuracy across 5 diseases on 15K+ images from Uganda dataset; deployed via mobile-friendly Flask API.

• Housing Price Prediction — Linear/Ridge Regression, Random Forest, XGBoost; 92% R², deployed via FastAPI.
• Red Wine Quality Classification — Comparison of RFC, SVM, KNN, Decision Tree, Naive Bayes; 94% accuracy.
• Email Spam Classification — 96% precision, 94% recall, -35% false positives.
• Heart Disease Prediction (KNN + GridSearchCV) — 91% accuracy.
• Dog & Cat Classifier (CNN + SVM) — 96% accuracy, hybrid architecture.
• MNIST Digit Classification

• Business Review Sentiment Analyser — NLP BERT-based sentiment model deployed with FastAPI for 1–5 customer rating prediction.
• Crop Yield Prediction & Recommendation — Recommends optimal crops to plant.
• Biometric computer-vision system for vital sign detection — 97% precision (Omdena).
• Media content multi-class classification — 89% F1-score across 50K+ social posts (Omdena).

• Melbourne Housing Model & Deployment

MSc Information Technology — Mivas Open University (2026 – Present, in-view) B.Eng. Mechanical Engineering — Federal University of Technology, Akure (2014 – 2018)

• TensorFlow: Advanced Techniques Specialization — Coursera/DeepLearning.AI (in-view)
• Deep Learning Specialization — Coursera/DeepLearning.AI (2025)
• Mathematics for Machine Learning and Data Science Specialization — Coursera/DeepLearning.AI
• Applied AI Lab: Deep Learning for Computer Vision — WorldQuant (2025)
• Data Science, Data Engineering, Data Analyst — DataQuest (2023)
• AI Engineer for Data Scientist — DataCamp
• Data Science Professional — DataCamp (Full DataCamp Portfolio)
• AWS Cloud Practitioner & AWS Solutions Architect — ALX (2024)
• Applied Generative AI & NLP Preprocessing, LangChain: Build GenAI, Ollama: LLM Application, GenAI Projects — Udemy (2024)

• Trained 50+ data analysts & scientists across 12 cohorts with a 90% completion rate; mentored 35+ capstone projects.
• Reduced model training time by 40% through hyperparameter optimization & distributed computing.
• Published 3 technical articles on Medium covering sentiment analysis, legal Q&A systems, and LangChain-based translation.
• Contributed to open-source ML projects with 200+ combined GitHub stars.
• Mentored 50+ junior data scientists, with 95% reporting improved technical skills within 3 months.

Open to Data Science, Data Engineering, Machine Learning, and AI Engineering opportunities — let's connect!