Quality engineering
Manual and automated testing, scenario design, regression thinking and failure analysis.
CAREER / QUICK VIEW
Quality engineering, extended into systems engineering.
A recruiter-focused summary of the work behind Aixion Lab. The project pages provide the evidence and maturity boundaries behind each capability.
PROFILE
Build reliable systems by making their behavior understandable.
Experience across quality engineering grew into automation, software systems, data and applied AI. The through-line is explicit state, testable contracts and evidence behind decisions.
Automation
Workflow and RPA patterns designed around validation, retries, recovery and traceability.
Software systems
APIs, services, integrations, state management and system architecture.
Data and applied AI
Real-time data, ML experimentation and governance for autonomous systems.
0202Explore the portfolio
ENGINEERING IN PRACTICE
Turn quality thinking into system behavior.
Quality practices carry into software and applied intelligence through observable inputs, explicit state transitions, failure recovery and evidence that supports the next decision.
PROJECT EVIDENCE
The work behind the capability list.
Each system page explains the problem, engineering choices, current status and public evidence boundary.
01
Review the systemTradeBot
Governed market-intelligence infrastructure for intraday decision support.
Relevant work: Python · WebSockets · APIs · Real-time data · Testing · ML research · Observability · Governance
02
Review the systemAixion Control Core
A governed orchestration layer for context, agents, tools, policy, evidence and human authority.
Relevant work: Agent orchestration · Tool integration · Policy architecture · Human-in-the-loop · Evidence · APIs · State management
PUBLICATION STATUS
Career snapshot
A downloadable résumé is not published here. This page intentionally avoids stale or mismatched résumé files.