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@ulokoemmanuel
Innovative AI/ML Engineer with a strong track record in fintech.
I am an innovative and results-driven Machine Learning Engineer with a First-Class degree in Mechanical Engineering. I have a strong track record of developing and deploying AI/ML solutions across fintech, credit, and enterprise domains. My passion lies in solving real-world problems using AI, particularly in Natural Language Processing (NLP), Large Language Models (LLMs), and model deployment in production environments.
In my current role at Datadocks, I designed and implemented a Legal LLM Conversational Application, leveraging a Retrieval-Augmented Generation (RAG) pipeline. I have also built an SEC Financial Insights Chat Application and developed a complete ML pipeline from scratch on Azure, showcasing my ability to integrate advanced technologies and optimize processes. My previous experiences include roles at Turing Company and Polaris Bank Limited, where I focused on enhancing security measures and user engagement through innovative AI solutions.
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Work history, roles, and key accomplishments
Datadocks
Sep 2024 - Present (1 year 2 months)
Designed and implemented a Legal LLM Conversational Application leveraging a RAG pipeline, incorporating node generation, contextual metadata enrichment, embedding generation, and PII redaction on legal documents. Integrated pgvector as vector store to optimize semantic retrieval for legal practitioners and students. Built and deployed a complete ML pipeline on Azure, integrating MLflow for experi
Turing Company
Sep 2024 - Mar 2025 (6 months)
Trained client’s LLM using Reinforcement Learning for Human Feedback (RLHF) and Supervised Fine-tuning (SFT) techniques to significantly improve its performance. Focused on enabling the client's LLM to build software applications from scratch.
Polaris Bank Limited
Oct 2023 - Oct 2024 (1 year)
Developed a spoofed image detector system to curb fraudulent acts in the onboarding process, significantly enhancing security measures. Engineered a recommendation system integrated into the bank application to boost user engagement and developed a RAG chatbot powered by an LLM to provide product/service insights and facilitate transactions.
ALTARA Credit Ltd.
Jan 2023 - Sep 2023 (8 months)
Analyzed credit data, optimizing loan approvals and portfolio management. Developed predictive models for customer churn and credit risk assessment, and implemented data and machine learning pipelines to streamline processes.
Explore AI
Jan 2022 - Dec 2022 (11 months)
Contributed to building a minimum viable product, gaining hands-on experience in data science. Led a team of interns on a UN SDG Twitter analytics project, effectively presenting findings, and completed comprehensive training in data analysis, machine learning, and model deployment.
Cititrust Financial Services Plc
Jan 2021 - Dec 2021 (11 months)
Collaborated on market analysis and investment strategies, conducting data visualization to present insights to stakeholders. Performed statistical analysis on new marketing strategies to inform business decisions.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Mechanical Engineering
Grade: First Class (Summa Cum Laude)
Achieved a First-Class degree in Mechanical Engineering, demonstrating strong foundational knowledge in engineering principles. Completed coursework covering core mechanical engineering subjects.
Training Programme, Data Science/ML
Activities and societies: Led a group of interns in the development of predictive systems including Spain's electricity load shortfall, climate change sentiment analysis, and a movie recommendation system.
Completed a comprehensive Data Science/ML Training Programme, covering SQL, Python, data cleaning, visualization, statistical analysis, machine learning, model deployment, and deep learning. Led a group of interns in developing predictive systems for electricity load shortfall, climate change sentiment analysis, and movie recommendation.
Software and tools used professionally
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