About Me
With a foundation in Petroleum Engineering, I pivoted to Data Science to solve problems that required not just mechanical precision, but algorithmic intelligence. This background gives me a unique perspective on optimizing complex systems, whether it's fluid dynamics in a well or information flow in a neural network.
Today, I focus on building robust AI systems that drive business value. From fine-tuning Large Language Models for clinical reasoning to deploying real-time forecasting dashboards, I bridge the gap between theoretical research and production-grade software.
Technical Skills & Expertise
Languages & Core
Python
For robust data manipulation, advanced statistical analysis, and building scalable machine learning models.
SQL
For complex querying, data extraction, and managing large-scale relational databases to drive insights.
JavaScript/TypeScript
For integrating AI models into web applications and building interactive frontend interfaces.
Machine Learning & AI
PyTorch & TensorFlow
For designing, training, and deploying deep learning architectures, from computer vision to LLMs.
Scikit-learn
For implementing classical machine learning algorithms for predictive modeling and classification tasks.
Hugging Face & spaCy
For building state-of-the-art Natural Language Processing pipelines and fine-tuning transformers.
Data Engineering & Cloud
Docker
For containerizing applications to ensure consistent environments and reproducible deployments.
GCP & Azure ML
For leveraging cloud infrastructure to train models on GPUs and deploy AI solutions at scale.
Flask & Streamlit
For creating lightweight, high-performance APIs and interactive data apps to serve models.
Tools & Analytics
Git & CI/CD
For maintaining rigorous version control and automating testing pipelines in collaborative environments.
Tableau & Dash
For translating complex datasets into intuitive visualizations that drive stakeholder decision-making.
Professional Experience
AI Engineer Intern
May 2026 - PresentBAO Systems
Remote
Data Scientist
Aug 2025 - April 2026Hesed Edusuite
Lagos, Nigeria
- Designed and deployed interactive dashboards using Chart.js to monitor key educational performance metrics.
- Resolved critical data integrity bottlenecks for 3,000+ distributed records via targeted SQL data backfills, ensuring accurate data processing for thousands of student records.
- Architected and designed HesedBot, a production-grade multi-agent chatbot API integrating Flask as a stateless gateway and LangGraph as a stateful orchestration layer for dynamic conversational flows.
Machine Learning Engineer & Data Scientist
Aug 2020 - April 2026Independent Consultant (Via Upwork)
Remote
- Fine-tuned BERT (SecRoBERTa) to predict MITRE ATT&CK techniques, achieving 86.47% precision.
- Extracted key product details from e-commerce websites using Selenium and BeautifulSoup.
- Built an LSTM-based RNN model for temperature forecasting and containerized with Docker.
- Provided technical consulting on ML strategies guiding clients toward improved project outcomes.
Data Science / Chatbot Development
Jun 2022 - Mar 2023Telesoft
Los Angeles, CA (Contract)
- Led development of core functions for a recruitment chatbot using Dialogflow.
- Improved user experience through robust fallback mechanisms.
- Integrated logical functions and API connections using JavaScript and regex.
- Reduced database errors with refined error-handling logic.
Machine Learning Engineer
Jul 2021 - Mar 2022OctoShrew
Cambridgeshire, UK (Contract)
- Executed NLP pipeline that boosted downstream model accuracy by 15% using NLTK, spaCy, and regular expression.
- Engineered custom SEO data pipeline using Zyte Proxy Manager and Google Search API for information retrieval and Weasyprint for structured reporting.
Machine Learning Engineer
Apr 2020 - Oct 2020Aeolus
Bangalore, India
- Spearheaded data collection initiatives that strengthened models’ inputs and improved predictive accuracy by 20%.
- Led multiple code reviews and provided actionable feedback that elevated code quality.
Education
University of Lagos
B.Sc. Petroleum Engineering
CGPA: 4.46 / 5.0
Research: Early detection of undesirable events in oil wells using machine learning.