About Me
AI Engineer based in Nairobi, Kenya. I build and deploy self-hosted LLM systems — fine-tuning, quantization, RAG, and multi-agent pipelines. Currently at Supreme AI building AI-powered products for the Australian market.
I also build AI tools independently — TradingAgents (a 13-agent NSE trading framework) and an LLM-powered financial auditor. MSc Computer Science from DeKUT with 3 IEEE publications. Full stack: Python, LangGraph, FastAPI, React, Next.js.
GitHub Activity
Experience & Education
AI Engineer
Supreme AI — Australia (Remote)
Building AI-powered products for the Australian market including CGT Brain (capital gains tax engine) and an AML/CTF compliance system. Fine-tuning, quantization, and deploying self-hosted LLMs via vLLM.
Independent AI/ML Researcher
Nairobi, Kenya
Implementing global AI research papers for African markets. Built TradingAgents (multi-agent NSE trading system) and an LLM-powered financial auditor. 3 IEEE publications.
Master's Degree, Computer Science
Dedan Kimathi University of Technology (DeKUT)
Research focus: Medical imaging with deep learning, NLP topic modeling, financial health assessment using ML. 3 IEEE publications.
BSc Information Technology
Dedan Kimathi University of Technology (DeKUT)
Second Class Upper Honours.
Projects
CGT Brain
An AI system that does what lawyers and accountants do for Capital Gains Tax. Feed it any property timeline and it applies ATO rules, performs full CGT analysis, and generates detailed reports work that traditionally takes professionals hours, done in seconds.
View ProjectBiashara Buddy
An AI-powered business consultant that helps Kenyan entrepreneurs with budgeting, licensing requirements, business ideas, and location selection, everything a qualified business advisor can do.
View ProjectAI Research in a Kenyan Context
Implementing global AI/ML research papers to solve local problems.
TradingAgents
Multi-agent LLM trading system for the NSE, implementing the TradingAgents paper (UCLA/MIT). Four parallel AI analysts debate and synthesize market data, fundamentals, news, and sentiment to produce trading decisions — adapted for NSE constraints like T+3 settlement, KES commissions, and frontier market illiquidity.
Live Demo Coming SoonBased on arXiv:2412.20138
Automating Financial Statement Audits with LLMs
An LLM-powered auditing system that ingests Kenyan company financial statements (PDFs), chunks and embeds them with RAG, and produces structured audit reports — flagging IFRS violations, material misstatements, and going-concern risks. Built to handle the nuances of Kenyan regulatory filings (CMA, NSE listing rules, Companies Act 2015).
Read the PostMy Publications
Selected research contributions in data science and technology for development.
Automatic Detection and Classification of Gastrointestinal Pathological Findings using a Hybrid ResNet50-CNN from Endoscopic Images
Kinyanjui, Samson, Juliet Moso and Patrick Gikunda.
2025 IST-Africa Conference (IST-Africa), 2025.
Topic Clustering of COVID-19 Medical Literature Using LDA and K-Means: A Case Study
Kinyanjui, Samson and Benson Kituku.
IEEE International Conference on ICT4DA, Bahir Dar, Ethiopia, 2025.
Financial Health Assessment for Households in Kenya
Kinyanjui, Samson, Felix Lopuran, Peter Kimanga, Edna Mugoh, Dennis Kiprotich, and Patrick Gikunda.
IEEE International Conference on ICT4DA, 2024.
Latest from the Blog
AI/ML paper breakdowns, implementations, and research notes.
Demystifying LLM Quantization: GPTQ, AWQ & GGUF
How to shrink a 14GB model to 4GB and still get usable results — a practical guide with Python code.
Read moreUnderstanding Attention Is All You Need
A deep dive into the Transformer architecture that revolutionized NLP and became the foundation for modern LLMs.
Read moreAutomating Financial Statement Audits with LLMs
From research paper to production app — building an LLM-powered auditor for Kenyan company financial statements with RAG, FastAPI, and Next.js.
Read moreBuilding TradingAgents for the NSE
From UCLA/MIT research paper to a working multi-agent LLM system that debates, analyzes, and trades NSE equities — adapted for frontier market constraints.
Read moreWhat People Say
Feedback from collaborators and clients.
Contact Me
Let’s connect and build something great. I’d love to hear from you!