// ai_engineer.init()
_
AI Engineer and Data Scientist pursuing an M.Sc. in Financial Engineering, focused on Machine Learning, NLP & Large Language Models, Computer Vision, Quantitative Finance, Climate Resilience, and AI-driven Decision Systems.
Portrait managed
by admin
Years across Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Quantitative and Risk Modelling, Computer Vision, Python Development, Natural Language Processing, Large Language Models, ICT Project Management, and Applied Software Engineering.
About image managed
by admin
Status
Open to Opportunities
At a Glance
About Me
A passionate AI Engineer and Data Scientist currently pursuing an M.Sc. in Financial Engineering at WorldQuant University. My work sits at the intersection of artificial intelligence, data science, and domain expertise, with a focus on building production-ready intelligent systems that create measurable real-world impact.
Recognised as Best Graduating Student, selected as a UNDP IICPSD Frontier Tech Leader in Cohort 1 of the FTL Machine Learning Bootcamp, and awarded an AI/ML Fellow position as one of only two Sierra Leoneans out of 1,301 applications and one of only two chosen for the AI/ML track out of 250 applicants at the Developers Foundry Fellowship Cohort 1, organised by Tech4Dev — committed to leveraging frontier technology for social good, from climate resilience to financial inclusion in underserved communities.
Academic
Oct 2025 — Present
WorldQuant University — Washington, USA (Online)
Rigorous programme covering quantitative finance, derivatives pricing, risk modelling, and AI applications in financial markets, with a focus on practical Python implementation.
Feb 2015 — Feb 2019
University of Sierra Leone — Freetown, Sierra Leone
Graduated with a GPA of 3.74, the highest in the Information Systems department's graduating cohort. Research focused on e-Learning systems for the University of Sierra Leone.
Dissertation: "Development of an e-Learning Platform for University of Sierra Leone"
↑ Best Graduating Student (Department)Career
Aug 2024 — Jan 2025
UNDP IICPSD · Istanbul, Türkiye (Remote)
Mar 2024
UNDP IICPSD · Istanbul, Türkiye (Remote)
May 2019 — Sep 2023
ICT Consultancy and General Services (SL) Ltd · Freetown, Sierra Leone (Hybrid)
Dec 2020 — Sep 2022
Africell Sierra Leone · Freetown, Sierra Leone
Oct 2021 — Sep 2022
University of Sierra Leone (IPAM) · Freetown, Sierra Leone (Hybrid)
Sept 2025 — Nov 2025
UNDP IICPSD — Virtual Digital Business Incubation · Remote (Türkiye)
Nov 2024 — Dec 2025
Developers Foundry Fellowship — Tech4Dev · Remote (Nigeria)
Aug 2023 — Dec 2023
UNDP IICPSD — Frontier Tech Leaders Programme ML Bootcamp · Istanbul, Türkiye
Credentials
40+ certifications spanning AI, machine learning, data science, and engineering disciplines.
Foundations of Financial Engineering
WorldQuant University · Apr 2026
Applied AI Lab: AI for Computer Vision
WorldQuant University · Apr 2026
Deep Learning Fundamentals Lab
WorldQuant University · Mar 2026
CS50x: Introduction to Computer Science
Harvard University · 2026
AI/ML Fellowship Certificate
Developers Foundry (Tech4Dev) · Dec 2025
Applied Data Science Lab
WorldQuant University · 2025
NLP with Classification and Vector Spaces
DeepLearning.AI · 2025
Stanford Code in Place
Stanford University · 2025
Machine Learning Specialization
DeepLearning.AI & Stanford University · 2024
Python for Everybody Specialization
University of Michigan · 2024
Machine Learning Bootcamp
UNDP IICPSD, Istanbul · 2023
Agile with Atlassian Jira
Atlassian University · 2023
Google UX Design Specialization
Google · 2022
Work
01 — Featured
Compares classical machine learning (Random Forest, Logistic Regression, SVM), transformer (BERTweet), and lexicon-based (VADER, TextBlob) sentiment models on Twitter (X) data, with analytics, data visualisation, and predictive insights.
03
Chatbot combining semantic search with large-language-model reasoning, knowledge-retrieval pipelines, and a REST API for real-time contextual answers.
04
Deep-learning classifier for 101 food categories using PyTorch CNNs and transfer learning, served through an API that accepts image uploads and returns real-time predictions.
05
End-to-end model development — data cleaning, feature engineering, Random Forest, XGBoost, and neural-network models — deployed as a prediction API with Flask.
Recognition
University of Sierra Leone
2019Best graduating student in the Information Systems department, with a GPA of 3.74.
UNDP IICPSD ML Bootcamp
2023Awarded for academic excellence in the Frontier Tech Leaders Machine Learning Bootcamp in Istanbul.
United Nations Development Programme
2023Selected for the first cohort of the Frontier Tech Leaders Programme, building skills in machine learning, data science, and entrepreneurship.
Developers Foundry · Tech4Dev
2024One of only two Sierra Leoneans selected from 1,301 applications, and one of two chosen for the AI/ML track out of 250 applicants.
Innovation
Exploring the frontiers of AI to build systems with real-world social impact.
Supervised, unsupervised, and deep learning models, and applying AI to real problems in finance, health, and education.
Computer vision and its applications in health, agriculture, finance, education, and the environment.
Large language models, retrieval-augmented generation, and natural language processing for knowledge-intensive, data-driven applications.
Portfolio optimisation, risk modelling, derivative pricing, and time-series methods for AI-driven financial analysis.
Environmental informatics and early-warning systems, such as flood prediction, that help vulnerable communities prepare for climate risks.
Intelligent hardware — embedded systems, robotics, and drone technology — that brings AI models into the physical world.
Insights
Contact
Open to research collaborations, engineering roles, speaking opportunities, and interesting problems. Always happy to discuss AI, data science, and building for impact.