2025—2026
QA Engineer / QA Lead
Trinetix · US public services and insurance products
Owned and led QA for enterprise mobile products serving public-services and insurance users, aligning quality decisions with product risk and release goals.
Nine years helping teams ship reliable mobile and enterprise software. I lead QA through clear test strategy, risk assessment, cross-functional work, and practical AI-assisted optimization.
QA toolkit
Hard skills built across mobile, enterprise, and AI-assisted testing; soft skills that keep QA connected to the product.
Hard skills
Soft skills
Selected evidence
2025—2026
Trinetix · US public services and insurance products
Owned and led QA for enterprise mobile products serving public-services and insurance users, aligning quality decisions with product risk and release goals.
2019—2025
Trinetix · Big 4 audit products
Held the QA process across a broad portfolio of 15+ internal and external business applications in a demanding audit environment.
2018—2019
SoftServe · Secure technology
Contributed to quality for an industry-leading mobile security SDK and its multi-layer backend ecosystem.
Earlier
ROOM8 Game Studio · Entertainment startup
Built additional product breadth through game, web, backend, blockchain, festival-management, and secure-payment testing.
Capabilities
01 · Selected Impact / Selected Cases
Led quality across AI-enabled public-services and insurance products; validated Computer Vision, LiDAR, on-device measurement, and 2D/3D CAD workflows; and held QA across 15+ Big 4 audit applications. Earlier work added security SDK, multi-layer backend, gaming, and blockchain-payment experience — a calm, practical foundation for complex product decisions.
02 · Testing AI-powered products (Computer Vision, LiDAR, object recognition)
I test beyond the happy path: input quality, environmental variation, model confidence, device and sensor limits, degraded conditions, integration behavior, and safe fallbacks. I translate uncertain AI behavior into observable risks, reproducible evidence, and release decisions that product and engineering teams can act on.
03 · Using AI for QA (requirements analysis, test design, risk analysis)
I use AI as an accelerator for requirement review, ambiguity discovery, test-idea generation, coverage comparison, and risk analysis — while keeping human judgment, product context, privacy, and verification in control. The result is faster preparation, sharper questions, and more time for high-value exploratory testing.
Photography lab
Photography is more than a creative outlet — it is another laboratory for quality thinking. Every frame demands attention to composition, light balance, sharpness, and color accuracy, the same qualities I evaluate in visual and UX QA. Whether I am planning a shoot, refining a workflow, or choosing the right tool for the job, the discipline is the same: understand the goal, control the variables, and deliver a result that holds up under scrutiny.
Step into the gallery to see how that same disciplined attention to detail looks through a lens — and imagine what it can do for the quality of your product.
Project concepts · work in progress
Journal previews
QA craft, AI-assisted testing, and creative systems.
How generative tools can support risk-based coverage without replacing engineering judgment.
Coming soon…
Throttling, mapping, and mocking traffic to investigate hard-to-reproduce mobile defects.
Read article →
Exploring repeatable photo workflows, light, framing, and the small systems behind creative work.
Coming soon…
Coming soon
Open to professional conversations, QA leadership opportunities, and collaborations around mobile quality, AI-assisted testing, and photography.
Let’s talk