currently
Engineering software for complex aviation environments, while exploring systems across data, finance, and AI.
Aviation · software systems, operational workflows, integration, and reliability
Data · streaming, ETL/ELT, warehousing, and platform engineering
AI · agent runtimes, developer tooling, and intelligent workflows
Finance · market data, quantitative research, risk, and financial systems
selected work
| project | focus |
|---|---|
| Nexus | Programmable AI runtime, agents, tools, permissions, worktrees, MCP, plugins |
| nse-quant | Quantitative analysis and market research |
| market-data-infra | Financial market-data infrastructure |
| warehouse-neuron | Event-driven warehouse and inventory systems |
| financial-risk-prediction | Predictive financial risk systems |
| KenyaInventoryPredictorAI | Inventory forecasting and applied ML |
engineering
Languages · Python · SQL · Scala · Rust
Data · Spark · Kafka · Airflow · PostgreSQL · Redis
Systems · Linux · NixOS · Docker · Git · CI/CD · APIs · event-driven architecture
AI / DevTools · agent runtimes · tool orchestration · MCP · skills · plugins · local-first workflows
Domains · aviation technology · financial systems · logistics · applied ML
direction
software
↓
aviation systems
↓
data & infrastructure
↓
finance & quantitative systems
↓
ai & developer infrastructure
Interested in systems that are reliable, observable, reproducible, composable, and automation-friendly.
principles
observe → understand → design → build → measure → evolve
Build more than consume.
Understand systems before optimizing them.
Turn failure into data.
Keep learning.



