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 build production-grade 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
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Autonomous job-discovery and application operating system with durable workflow orchestration, PostgreSQL-backed execution, ATS integrations, reconciliation and follow-up intelligence. |
AI-native productivity and office platform focused on documents, data, files, workflows and intelligent user interaction. |
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AI-assisted GitHub engineering workflows for repository intelligence, analysis, automation and developer productivity. |
Human-resource management platform combining workforce operations, structured business workflows and production software engineering. |
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AI-enhanced telephony and contact-center engineering around FreePBX, automation and intelligent communications workflows. |
Question-answering and AI workflow platform designed around retrieval, reasoning and practical knowledge interaction. |
Some production and client systems are private. Public repositories above are selected examples of the broader engineering portfolio.
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
| 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.
