Conventional software
Functional, API, UI, integration, performance and release behaviour.
PARIMI · TEST ENGINEERING · AI QUALITY
Engineering confidence for complex software and AI systems.
I design and build quality systems that connect test engineering, automation, AI evaluation, security, accessibility and release assurance into measurable engineering evidence.
Start with the problem01 · Enterprise
02 · AI / LLM
03 · Agentic systems
04 · Regulated environments
THE PROBLEM
Quality gets harder as systems become connected, intelligent and autonomous.
AI behaviour
Correctness, grounding, safety, consistency and semantic quality.
Agentic execution
Tools, arguments, orchestration, memory, recovery and handovers.
Production reality
Changing models, new failure modes and evidence that must evolve.
WHAT I DO
One quality practice across the technology landscape.
The intervention changes with the risk. The engineering standard does not.
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Test Engineering Leadership
Quality strategy, operating models, automation direction and release governance aligned to business risk.
ExploreAI Quality Engineering
Quality engineering across LLM, RAG, conversational AI and agentic workflows.
ExploreAutomation Engineering
Maintainable API, web and mobile automation integrated into delivery pipelines.
ExploreEvaluation & Assurance
Explicit evaluation criteria, repeatable evidence and quality gates for changing AI behaviour.
ExploreSecurity, Accessibility & Performance
Specialist validation where conventional functional testing leaves material risk uncovered.
ExploreContinuous Quality
Production signals, failure analysis and regression feedback that evolve with the product.
ExploreHOW I WORK
A quality system built around the product, not a template.
Understand the system. Model its risks. Engineer the evidence. Assure the release.
01
Understand
System, architecture, journeys and business risk.
02
Model
Quality dimensions, failure modes and expected behaviour.
03
Engineer
Automation, evaluation, data, fixtures and reporting.
04
Assure
Evidence, release gates and continuous feedback.
INDUSTRIES & ENVIRONMENTS
Built for systems where quality evidence matters.
01
Enterprise software
CRM, ERP, business-critical applications and complex integrations.
02
AI applications
LLM, RAG and AI-enabled products where output quality must be measured.
03
Agentic systems
Agents, tools, memory, orchestration and multi-step autonomous workflows.
04
Regulated environments
Systems requiring traceability, governance, controlled change and evidence.
PROJECTS & FRAMEWORKS
Custom-grown quality frameworks, engineered around the system.
Instead of forcing an off-the-shelf methodology onto a product, I design the assurance model around its architecture, critical journeys, failure modes and delivery constraints.
See how frameworks are built01Quality architecture
02Risk model & critical journeys
03Automation & evaluation components
04CI/CD quality gates
05Evidence & reporting
06Continuous improvement loop
ENGINEERING EXPERIENCE
Leadership backed by hands-on engineering.
18+ years across enterprise quality, automation, release governance and current AI quality engineering work.
View experience18+
Years
Enterprise
Systems
AI
LLM · RAG
Leadership
Quality · Release
WHAT THE ENGAGEMENT PRODUCES
Evidence your engineering team can actually use.
01
Know where quality risk is concentrated
02
Define what good behaviour means
03
Automate the checks that should repeat
04
Collect evidence engineers can act on
05
Turn production failures into regression coverage
06
Support release decisions with measurable signals
START WITH THE PROBLEM