I’m George Alfred Nyamema (GAN-007 / GAN-TECH) — a Data Scientist, Data Engineer, Full-Stack Software Engineer, AI/ML Engineer and Technical Lead based in Nairobi, Kenya.
I design and build systems across data platforms, fintech analytics, full-stack products, AI agents, automation, cloud infrastructure, APIs, business intelligence and decision systems. My work sits at the intersection of engineering depth and commercial context: turning complex requirements, fragmented data and operational problems into secure software and measurable outcomes.
- 🔭 Current focus: production AI, analytical engineering, data systems, autonomous workflows and full-stack platforms
- 🧠 Strengths: Python, Django/DRF/FastAPI, PostgreSQL, React/JavaScript, advanced SQL, ML/LLMs, APIs, Docker/Linux, cloud and CI/CD
- 📊 Data: BI/KPI governance, portfolio analytics, lifecycle analysis, credit-risk/repayment/collections analytics and executive reporting
- 🤖 AI: ML, NLP, LLM orchestration, agents, retrieval, workflow automation and responsible AI
- ☁️ Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Linux, GitHub Actions and production observability
- 💼 Business context: accounting, CPA training, financial modelling, fintech operations, controls and risk
- 🌍 Open to: senior engineering, data/AI and hands-on technical leadership opportunities
A selected, cross-disciplinary view of my work in AI, software engineering, enterprise systems, fintech and automation. Each project below links to a public repository, with more available in my full repository catalogue.
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An AI-oriented productivity workspace spanning document operations, files, data and connected business workflows. Focus: Productivity platforms · Intelligent workflows |
Repository intelligence and AI-assisted engineering workflows for code analysis, automation and developer productivity. Focus: Developer tooling · AI automation |
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Human-resource management and structured workforce operations through business-process software. Focus: Enterprise systems · Workforce management |
Telephony and contact-center engineering with intelligent communication workflows built around FreePBX. Focus: Communications · Systems integration |
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An AI question-answering platform exploring knowledge interaction, retrieval and reasoning workflows. Focus: Applied AI · Knowledge systems |
A public fintech integration project focused on the M-Pesa payment ecosystem and transaction workflows. Focus: Payments · Financial technology |
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Open-source AI engineering control plane bringing together multi-agent orchestration, a Rust daemon and CLI, policy-enforced execution, auditable workflows, and developer integrations across web, desktop and IDE environments. Focus: Rust · Agent orchestration · Developer platforms |
Full-stack AI document processing with a FastAPI backend, React interface, side-by-side review, model-assisted suggestions and user-controlled acceptance. Focus: FastAPI · React · Document AI |
Explore more: All public repositories → · Personal portfolio →
Selected projects illustrate engineering interests and implementation work; source availability is not a claim that each project is commercially deployed. Additional production and client systems are private.
GAN-007
├── Software Engineering
│ ├── Python · Django · DRF · FastAPI · Flask
│ ├── React · JavaScript · HTML5 · CSS3
│ ├── REST · GraphQL · Integrations · Auth/RBAC
│ └── Testing · Security · Performance · Architecture
├── Data & Intelligence
│ ├── PostgreSQL · MySQL · Advanced SQL
│ ├── Data Science · Analytics · BI · KPI Governance
│ ├── ML · NLP · LLMs · Multi-Agent Systems
│ └── Risk · Finance · Credit · Lifecycle Analytics
├── Platform Engineering
│ ├── Docker · Kubernetes · Linux
│ ├── AWS · GCP · Azure
│ └── CI/CD · Automation · Monitoring
└── Delivery
├── Technical Leadership
├── Product & Business Translation
└── Production Ownership
Discover → Architect → Build → Validate → Deploy → Improve. I combine practical product thinking with implementation: translating business requirements into data models, secure APIs, intuitive interfaces, testable workflows and observable deployments. My approach values ownership, documentation, measurable impact and responsible use of AI.
| Area | What I do |
|---|---|
| Data Science & Analytics | Advanced SQL, dashboards, cohort/lifecycle/portfolio analysis, KPI governance, predictive analytics and decision support |
| Full-Stack Engineering | Architecture, APIs, backend/frontend delivery, integrations, databases, security, testing and production support |
| AI Engineering | LLMs, NLP, ML, agentic workflows, retrieval, automation and AI-assisted products |
| Cloud & DevOps | Linux, Docker, Kubernetes, CI/CD, AWS/GCP/Azure, deployment and observability |
| Finance & Risk | Accounting context, financial modelling, fintech analytics, controls, reconciliation and risk analysis |
| Leadership | Technical direction, architecture, cross-functional delivery, governance, mentoring and documentation |
I’m interested in technically demanding work where I can combine software engineering + data + AI + business context rather than operating in only one layer of the stack. I’m especially interested in systems that must be reliable, auditable, intelligent and useful in production.
