Lead AI Engineering
Hands-on technical leadership across discovery, architecture, rapid prototyping, implementation, testing, and deployment of AI-powered software.
AI Consultant | Experienced Data Scientist | LLM Applications
Dr Kayode Owa
AI consultant, developer, experienced data scientist, optimisation specialist, and hands-on solutions engineer helping organisations design, prototype, and deploy production-grade LLM applications, agentic workflows, APIs, retrieval systems, and evaluation frameworks.
Contract Profile
Advisory discovery, rapid prototyping, scalable implementation, and client-facing AI delivery for regulated and industry-specific challenges.
LLM
Agents, tools, prompts, guardrails, retrieval, and evaluation
API
Python services, integrations, data flows, and platform extensions
Core Capabilities
Production AI and data science delivery across models, agents, APIs, data, and evaluation.
Experienced data scientist with practical strengths in data preparation, feature engineering, model selection, optimisation, evaluation, and insight delivery
Production Python engineering with API design, integrations, automation, and scalable backend services
LLM-powered applications using OpenAI, Gemini, and open source models such as Llama, Qwen, and Gemma
AI agents with tool/function calling, prompt engineering, guardrails, supervision, and workflow orchestration
RAG, GraphRAG, knowledge graphs, vector search, data pipelines, and document processing for domain-specific AI systems
Testing and evaluation for LLM applications, including prompt tests, output quality metrics, and agent behaviour validation
Secure, client-facing delivery for sensitive, regulated, and mission-focused environments
Delivery Fit
Built for consulting and delivery roles where prototypes need to become reliable AI products.
LLM Platforms and APIs
Python services, FastAPI-style APIs, integrations, reusable platform functionality, and third-party system connectivity for AI operating systems.
Agents and Workflows
Tool-calling agents, multi-step workflows, prompt systems, retrieval pipelines, evaluation harnesses, and guardrails for reliable behaviour.
Client Translation
Direct work with stakeholders to convert business, legal, health, defence, infrastructure, and consulting needs into production-ready AI applications.
Technology Stack
Modern LLM engineering with pragmatic tooling choices.
PythonFastAPIOpenAI APIOpenAI Agents SDKLangGraphLlamaIndexGeminiLlamaQwenGemmaRAGGraphRAGVector databasesKnowledge graphsMCPDockerGCPAWSAzureLangSmithOpenAI Evals
Regulated Sector Readiness
AI delivery for sensitive domains where accuracy, security, traceability, and communication matter.
Defence and secure operations
Legal and professional services
Health and life sciences
Infrastructure and asset-intensive organisations
Management consulting and knowledge work
I bring a research-informed engineering approach to data preparation, model selection, guardrails, testing, monitoring, and stakeholder alignment.
Evidence
Technical depth with engineering judgement and commercial delivery focus.
Applied machine learning for cybersecurity
Research and implementation experience in phishing detection, secure URL classification, model selection, optimisation, and evaluation.
Data science for decision support
Experience turning messy data into usable features, models, metrics, dashboards, and evidence that helps teams make better technical and business decisions.
Prototype-to-product thinking
Ability to move from ambiguous client or domain problems to working prototypes, validated AI workflows, and reusable technical patterns.
Communication and technical leadership
Experience explaining complex AI and software concepts to mixed audiences, mentoring technical work, and aligning delivery with organisational goals.
Current Focus
Extending AI operating systems with reusable agents, retrieval, integrations, evaluation, and observability.
My focus is on AI applications that can be demonstrated quickly, tested meaningfully, and matured into dependable services. I am especially interested in platforms that combine open source and hosted LLMs, tool-calling agents, GraphRAG, secure data handling, and measurable quality controls for real client work.