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Fielami Emmanuel David

AI / ML Engineer | NLP & GenAI | AWS | Building Production AI Systems

Based in +2347067805884, Lagos, Nigeria (Open to Remote Global Roles)

About

AI/ML Engineer with 6+ years of experience building and deploying machine learning systems across finance, energy, and public sector domains. Specialized in NLP, recommendation systems, and Generative AI (LLMs & RAG). Passionate about building production-ready AI solutions and solving real-world problems using data.

Skills

Projects

Experience

2023

AI / Machine Learning Instructor & GenAI Mentor

Thrive Africa, Ghana (Remote) | 2023 – Present Deliver training in Machine Learning and AI Essentials, equipping students with practical skills in Python and model development Mentor students on Generative AI (LLMs), including prompt engineering, embeddings, and real-world AI applications Guide learners in building GenAI applications, including chatbots and document-based AI systems Support internship programs by assisting in student project supervision, evaluation, and technical development Prepare students for industry roles by focusing on production-ready AI solutions

2019

Data / Program Analyst

Bayelsa State Government, Nigeria | 2019 Optimized payroll processing systems, reducing errors and processing time by 20% Improved workforce resource allocation efficiency by 15% through data-driven insights Implemented data validation processes to enhance data accuracy and compliance

2012 - 2016

Full-stack Developer

ZIT Technology | 2012 – 2016 Developed and maintained Java-based enterprise applications using Java SE, J2EE, and JBoss Optimized backend systems for performance and scalability Collaborated with frontend teams to deliver integrated user interfaces

2022

Data Scientist Lead Facilitator

NITDA Nigeria / PSP Analytics | 2022 – Present Trained over 400+ fellows in Machine Learning, AI, and Data Visualization across national programs Delivered hands-on training in AI and emerging technologies, including Generative AI concepts Mentored students in building real-world ML and AI systems, improving technical proficiency Led practical sessions on applying data science to solve real-world business problems

2017

Data Analyst

nHub, Nigeria | 2017 – 2018 Supported 20+ data analysis projects, improving data accuracy by 20% Built a predictive inventory model that reduced operational costs by 15% Conducted data cleaning, validation, and exploratory analysis

2022 - 2023

Data Scientist / ML Engineer

FCMB Bank | 2022 – 2023 Developed and deployed fraud detection models using anomaly detection techniques, reducing financial losses Built and automated ETL pipelines on AWS for scalable ML deployment Improved team productivity by 25% through mentoring and model evaluation processes Collaborated with engineering teams to productionize machine learning systems

2022

Data Scientist

ExploreAI, South Africa | 2022 Led a team to develop a passenger forecasting system for Transport for London, improving transportation efficiency by 15% Built and deployed a movie recommendation system on AWS, increasing user engagement by 20% Developed an NLP-based sentiment analysis model for climate change analysis, enabling data-driven environmental insights Designed a time-series forecasting model for Spain’s electricity shortfall challenge, reducing shortages by 10%

2026

Featured Project

AI Document Assistant (RAG Chatbot) Built a Retrieval-Augmented Generation (RAG) system to enable natural language querying of PDF documents Implemented semantic search using embeddings and FAISS vector database Applied prompt engineering techniques to generate accurate, context-aware responses Integrated OpenAI APIs (LLMs) for intelligent document understanding Developed an interactive interface using Streamlit for real-time user interaction

Education

2022

Data Science Program

ExploreAI, South Africa | 2022

2016

BSc Mathematics / Computer Science

Federal University of Agriculture, Makurdi | 2016

2025

MSc Financial Engineering (In Progress)

WorldQuant University (Remote) | 2025 – Present