Who is behind all this
The short version, before the evidence below.
I am an AI engineer working across the full stack of a system, from data pipelines and model work through to the interface someone actually uses. Most of my time goes to retrieval, embeddings and knowledge graphs, with a background in computer vision and deep learning.
The projects, Code Graph and Code Brain sections are not screenshots. They are a live system I built that reads every repository I own or have forked, maps them into a semantic space, writes a technical briefing for each and flags the security, dependency and deployment gaps it finds. It refreshes itself every two hours without anyone touching it.
I am open to senior AI and ML engineering roles, and take selected consulting work alongside. Based in Nairobi, working with teams anywhere.
What I Work With
Domains and technologies I work across - from governance to graphs to production
AI Governance & Readiness
AI Policy, Responsible AI, Data Governance, Risk & Compliance, Readiness Assessment
Machine Learning
PyTorch, Scikit-learn, XGBoost, LightGBM, LSTM, Time-Series Forecasting
AI Agents as Graphs
LangGraph, LangChain, LiteLLM, Langfuse, RAG Pipelines, graph-structured Multi-Agent Systems
Knowledge Graphs & GraphRAG
GraphRAG, Neo4j, FalkorDB, NetworkX, Vector DBs (Pinecone, FAISS, Chroma, Weaviate, pgvector)
Cloud & MLOps
AWS, Azure ML, GCP Vertex AI, Docker, Kubernetes, MLflow, Weights & Biases
Full-Stack & APIs
FastAPI, Next.js, PostgreSQL, Redis, Temporal, OpenTelemetry
Data Engineering
PySpark, ETL Pipelines, A/B Testing, Statistical Modeling, EDA
What I have built, and where it ran
Employers and clients are described by sector rather than named, and the work is stated as what I did and what it changed. Happy to go through specifics in a conversation.
Founding AI/Data Engineer
Developer-tooling startup · US
Founding engineer on an automated software-analysis platform, owning it from architecture to production. Designed a three-layer knowledge-graph pipeline (FalkorDB/Cypher, 149 entity types) feeding 7 specialist AI agents - each served a tailored graph slice instead of raw context, which cut token spend and lifted output quality. Built 20+ Temporal workflows and 120+ activities covering 20+ languages, with Kafka streaming, ClickHouse analytics, and full observability on production GKE.
AI Engineer & Software Architect
Careers-tech platform · Kenya
Owned a user-facing, full-stack AI platform end to end - requirements to production with active users - automating the job-application lifecycle via coordinated AI agents. Built a FastAPI backend with a central multi-agent orchestrator, a FAISS-backed RAG pipeline, and CV parsing / intent routing with scikit-learn, spaCy, and NLTK. Hardened with a circuit-breaker pattern, dependency injection, and clear separation of concerns.
AI & Forensic Engineer, Litigation Data Solutions
Litigation data & e-discovery firm · US
Technical lead on forensic and e-discovery delivery for high-stakes litigation, owning the AI roadmap and aligning it with client needs. Built an NLP/ML pipeline processing 1M+ documents at 99% accuracy and a speech-to-text pipeline at 99% accuracy. Architected pipelines across Relativity, CloudNine Law, and Microsoft Purview - improving process efficiency 30% and cutting retrieval time 25%.
Data Science & Analytics Consultant
Independent · Clients in six sectors
Consulted across fintech, banking, agriculture, supply chain, e-commerce, and healthcare. Built a bank fraud-detection model reducing fraudulent transactions 75%, AI chatbots lifting lead engagement 60%, and predictive solutions improving client operational efficiency 40%. Delivered real-time analytics dashboards and hands-on training for non-technical teams.
What I'm Building
My projects and interesting forks - AI-generated insights with detected bugs & SDLC issues, updated every 2 hours
How I Can Help
Five ways I help, across the full lifecycle from governance to shipped systems. See all services →
GraphRAG & Knowledge-Graph Agents
For the questions plain retrieval cannot answer.
Learn more →Open To
Exploring new opportunities in AI/ML
Full-Time Roles
AI/ML Engineer or Data Scientist positions at innovative companies.
Academic Programs
Research opportunities and graduate programs in AI/ML.
GPU Scholarships
Compute grants and AI research scholarships.
Hire me, or hire the help
Different needs, different door. Both reach me.
I am looking for a senior AI role
Full-stack AI engineering: retrieval, embeddings, knowledge graphs, computer vision and deep learning, through to the interface. The system on this site is the work sample - read the code, read what it wrote.
Background & experience → For teams with a problemI need this built or reviewed
RAG pipelines, GraphRAG and knowledge-graph agents, fine-tuning, AI governance and readiness. Selected consulting alongside a full-time search, so scope is agreed up front.
Services & case studies →Let's Connect
Have a project in mind? I'd love to hear from you.