Ofori Regina Boateng, PhD
London,United Kingdom
Summary
PhD AI/ML specialist with expertise in classical machine learning, deep learning, and reinforcement learning, complemented by proficiency in large language models and generative AI. Demonstrates advanced skills in LLM finetuning, prompt engineering, and retrieval-augmented generation. Adept at cloud deployment using AWS and Azure, with strong capabilities in Python development and MLOps. Proven leadership in cross-functional team management and stakeholder collaboration. Committed to responsible AI practices, focusing on safety, ethics, and adversarial robustness.
Overview
12
12
years of professional experience
4045
4045
years of post-secondary education
1
1
Certification
Work history
Senior Generative AI Engineer (Manager)
KPMG UK
London, London
2024.10 - 2026.03
- Architected and deployed end-to-end Agentic AI frameworks and flow pipelines for clients, utilising LangChain and LangGraph to automate complex decision-making processes.
- Engineered production-grade RAG solutions, optimising retrieval through advanced chunking, vector-retrieval tooling, and hybrid search techniques, resulting in 30% improvement in response accuracy.
- Built and scaled full-stack AI applications using Python-based APIs and modern backend frameworks, focusing on observability and security guardrails in cloud-native environments (AWS/Databricks).
- Led technical MLOps/LLMOps initiatives, implementing automated evaluation frameworks and CI/CD pipelines for LLM deployments to ensure reliability and cost-efficiency.
- Mentored a squad of 10+ engineers, driving code reviews and establishing engineering best practices for version control (Git) and containerization (Docker).
Doctoral Fellow (Conversational AI)
Robert Gordon University
Aberdeen, UK
2021.10 - 2024.10
- Designed and implemented multi-agent LLM systems utilising advanced reasoning architectures (Chain-of-Thought) for complex conversational logic.
- Developed high-performance RAG pipelines leveraging vector databases and custom embedding models to integrate domain-specific knowledge.
- Fine-tuned Large Language Models for specialised tasks (anomaly detection and relation extraction), balancing model performance with inference latency.
- Implemented comprehensive LLM observability strategies, tracking production metrics including token efficiency and adversarial robustness.
AI SCIENTIST (CONTRACT)
Huawei Edinburgh Research Centre
Edinburgh, Scotland
2022.06 - 2022.10
- Developed Knowledge Graph-based retrieval architectures, integrating them with existing web platforms via high-performance APIs to increase search efficiency by 10%.
- Engineered compliant AI tools by implementing strict data privacy controls and "Safety by Design" principles in alignment with global AI standards.
LEAD AI ASSOCIATE
University Of Ghana
Accra
2020.08 - 2021.08
- Led an engineering team in designing and deploying large-scale distributed data processing pipelines for financial AI applications.
- Implemented deep learning architectures including GANs, CNNs, and RNNs for critical business functions like anomaly detection and sentiment analysis in a production environment.
- Managed the full project lifecycle to build and troubleshoot scalable AI solutions, improving business outcomes by 12% through data-driven analytics and robust risk controls.
CLOUD COMPUTING (AWS) PRACTITIONER
Azubi Africa
2020.10 - 2021.02
- Gained exposure to a diverse range of concepts in networking, Security, cloud services, cloud Infrastructure, software development and model building, cloud computing, distributed computing.
- Demonstrated proficiency in core AWS such, including computing power, network, storage, and databases.
LEAD DATA SCIENTIST
Kdalgo
London/Accra
2016.01 - 2020.09
- Directed web-based AI projects, implementing deep learning models and data manipulation techniques using tools like SQL and Pandas to analyse large datasets.
- Collaborated with cross-functional teams to develop and deploy scalable digital solutions for the healthcare sector, driving data-driven decision-making.
STATISTICIAN
Noguchi Memorial Institute for Medical Research
2014.05 - 2016.07
- Applied advanced statistical modeling to collect, analyse, and interpret data from clinical and biological experiments.
- Worked within a multidisciplinary team of scientists, clinicians, and biomedical affiliates to determine research objectives and analysis methods for computational neuroscience and scientific health.
- Gained proficiency in Computer-Aided Drug Design (CADD).
Education
Ph.D - AI | Applied NLP And Machine Learning
Robert Gordon University
ScotlandBachelor Of Science - Biomedical Engineering
University of Ghana
AccraSkills
- AI/ML: Classical Machine Learning, Deep Learning, Reinforcement Learning, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG)
- LLM & Machine Learning: Finetuning, Prompt Engineering, Reinforcement Learning, Retrieval-Augmented Generation (RAG), Knowledge Augmented Generation (KAG), Knowledge Graph (KG), Multimodal Analysis, Vector Databases
- AI Engineering: Agentic AI (LangGraph, AutoGen), RAG Architecture, LLM Orchestration (LangChain, LlamaIndex), Prompt Engineering
- Cloud & Deployment: AWS (Bedrock, SageMaker, Lambda, API Gateway), Azure, Docker, Kubernetes
- Data & Vector Tools: OpenSearch, pgvector, Pinecone, Milvus, PySpark, SQL
- Development: Python (Expert), FastAPI, Linux, MLOps, Azure, Git, CI/CD, LLMOps, SQL, Docker
- Models: Claude 3x, GPT-4o, Llama 3, HuggingFace, Model Quantization/Fine-tuning
- Leadership & Collaboration: Cross-Functional Team Leadership, Stakeholder Influence, Programme/Project Management, Relationship Management with Senior Partners
- Research & Experimentation: Experimental Design, A/B Testing, Model Optimisation and Quantisation
- Responsible AI & Ethics: AI Safety/Ethics, Risk and Control, Ethical Evaluation of LLMs (Bias and Robustness), Interpretability and Explanations of LLMs, Safety Improvements, LLM Hallucination Prevention, Adversarial Robustness
Certification
- Generative AI, Google
- Programming for Data Science with Python Nanodegree
- LLMs with Semantic Search
- AWS Certified Cloud Practitioner Certification
PUBLICATIONS (SELECTED) IN TOP AI CONFERENCES
- Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in biomedical systematic literature review automation, R Ofori-Boateng, M Aceves-Martins, N Wiratunga, CF Moreno-Garcia, Procedia Computer Science, 2023
- Towards automating systematic reviews using natural language processing, machine learning, and deep learning: A comprehensive review, R Ofori-Boateng, M Aceves-Martins, N Wiratunga, CF Moreno-Garcia, Artificial Intelligence review, 10.7
- A Zero-Shot Hybrid First Stage Monolingual Retrieval System for biomedical Spanish Systematic Literature Reviews, R Ofori-Boateng, M Aceves-Martins, N Wiratunga, C Moreno-Garcia, NAACL (Annual Conference of the North American Chapter of the Association for Computational Linguistics)
- Domain knowledge infusion and continual learning in pre-trained models/LLMs with adapters for biomedical relation extraction, R Ofori-Boateng, M Aceves-Martins, N Wiratunga, C Moreno-Garcia, International Conference of AI in Medicine
- Enhancing Systematic Reviews: An In-Depth Analysis on The Impact of Active Learning Parameter Combinations (Human-In-The-Loop) for Abstract Screening Classification, R Ofori-Boateng, TG Trujillo-Escobar, M Aceves-Martins, N Wiratunga, Artificial intelligence in medicine, 7.5
Websites, Portfolios, Profiles
- Linkedin.com/in/regina-ofori-boateng-4437bb1a7
- Https://www.researchgate.net/profile/Regina-Ofori-Boateng/research
References
Upon Request
Timeline
Senior Generative AI Engineer (Manager)
KPMG UK
2024.10 - 2026.03
AI SCIENTIST (CONTRACT)
Huawei Edinburgh Research Centre
2022.06 - 2022.10
Doctoral Fellow (Conversational AI)
Robert Gordon University
2021.10 - 2024.10
CLOUD COMPUTING (AWS) PRACTITIONER
Azubi Africa
2020.10 - 2021.02
LEAD AI ASSOCIATE
University Of Ghana
2020.08 - 2021.08
LEAD DATA SCIENTIST
Kdalgo
2016.01 - 2020.09
STATISTICIAN
Noguchi Memorial Institute for Medical Research
2014.05 - 2016.07
Ph.D - AI | Applied NLP And Machine Learning
Robert Gordon University
Bachelor Of Science - Biomedical Engineering
University of Ghana