Building intelligent systems where engineering rigour
meets the frontier of AI.
I'm a Junior AI Engineer at Bluechip Technologies in Lagos, where I design and deploy machine learning systems for Nigeria's leading financial institutions — including the Central Bank of Nigeria, Wema Bank, and Providus Bank.
My foundation is a B.Eng. in Mechanical Engineering from Covenant University (2023), which gave me a deep appreciation for systems thinking, modelling, and precision — principles I now apply to building intelligent, production-ready AI solutions.
I'm driven by one question: how can AI create real leverage for organisations operating in complex, high-stakes environments? Whether it's detecting financial fraud in milliseconds or building tools that help banks understand their customers, I want the work to matter.
{
"name": "Jedidiah Kristilere",
"location": "Lagos, NG",
"role": "Junior AI Engineer",
"company": "Bluechip Technologies",
"education": {
"degree": "B.Eng Mechanical Eng",
"school": "Covenant University",
"year": 2023
},
"open_to": [
"consulting",
"grad school",
"collaboration"
]
}
Bluechip Technologies · Lagos, Nigeria
Designing and deploying AI/ML products for Nigeria's most significant financial institutions. Work spans the full lifecycle from research and prototyping to production deployment on Azure infrastructure.
Covenant University · Ota, Nigeria
Strong academic record with undergraduate research culminating in a published paper. Gained deep foundations in systems modelling, thermodynamics, and engineering design — principles that translate directly to building robust AI systems.
An open-source LangChain + FastAPI + Streamlit app that summarizes YouTube videos or podcasts into concise insights, chapters, and key takeaways — all powered by local LLMs and free tools (no API keys needed).
Multi-agent AI system built with CrewAI that conducts comprehensive research, analyzes findings, verifies facts, and generates professional reports.
Studied and examined user emotions regarding the Instagram app on Google Playstore using Python-based NLP tools and Excel for structured reporting.
Built an optimal portfolio of S&P 500 technology assets using Harry Markowitz's Modern Portfolio Theory, implementing efficient frontier analysis and risk-return optimisation.
Regression model predicting auction sale prices of bulldozers from equipment characteristics and historical pricing data. Kaggle competition dataset.
Interactive Power BI dashboard identifying key metrics on global active and inactive airline distribution, with custom DAX measures and geographic visualisations.
ML classification model identifying heart disease risk from patient medical attributes. Includes thorough EDA and model comparison across multiple algorithms.
ML model predicting flight ticket prices based on route, timing, airline, and booking factors. Demonstrates feature engineering for travel industry datasets.
EDA and ML classification model predicting Premier League match outcomes from two seasons of performance data. Explores team form, home advantage, and feature importance.
Whether you're looking for an AI engineering collaborator, exploring consulting opportunities, or just want to discuss intelligent systems — I'd love to hear from you.