Your product deserves an engineer who builds the testing itself — not just runs it. That's the SDET difference: designing test infrastructure, internal tools, and automation frameworks from scratch, backed by deep coding skill across manual, automation, and AI testing and a genuine grasp of your users and your bottom line.
The outcome for your team: custom automation frameworks and tooling, built from scratch and tailored to your stack — with a current focus on automation testing and validating AI systems themselves.
Custom, maintainable frameworks built from the ground up for web, mobile, and desktop.
Self-healing suites and LLM-driven test generation that cut maintenance to a fraction.
Testing AI itself — evaluating models for accuracy, bias, hallucination, and safety.
Contract, integration, and load testing for REST and GraphQL services at scale.
Reliable UI automation for Windows and Electron applications with visual checks.
Strategy, process audits, and CI/CD integration to level up your entire quality culture.
Open-source frameworks and tools — each opens its GitHub repository. A few more are on the way.
Local-first, open-source synthetic test-data toolkit — turns JSON Schema, OpenAPI, and form contracts into deterministic, seeded records, with an optional local dual-agent AI assist. No cloud keys.
A production-ready Playwright + Pytest web framework — cross-browser matrix, Allure reporting, and reusable helpers, with worked SauceDemo examples.
A Python Appium framework running one suite across Android, iOS, hybrid, and mobile web.
An httpx-based REST & GraphQL framework with JSON-schema validation, covering functional, regression, and smoke suites with fast developer feedback.
A shared, domain-neutral Python package powering the web, mobile, and API frameworks — reusable reporting models, events, artifacts, and helpers, consumed as a pinned dependency.
An evaluation pipeline for LLM-based systems — hallucination detection, RAG faithfulness, semantic similarity, and LLM-as-a-judge scoring.
An internal service exposing test-data-generation and dataset-retrieval endpoints with clean DTO/POJO contracts, consumed across automation pipelines.
Reliable desktop UI automation for Windows applications using AutoIt, Appium, and Robot Framework with visual verification.
Deep-dive into your product, risks, and business goals before writing a line of code.
Architect and implement a custom framework or tool tailored to your exact stack.
Clear docs, clean handoff, and CI integration so your team can run it day one.
Ongoing support, tuning, and enhancements as your product evolves.
A US & Canada vehicle-auction platform leaned on slow, costly cloud testing, with an aging Cypress suite that was hard to scale and keep stable.
Led the migration from Cypress to Playwright with Python, then built a dedicated in-house testing lab — real servers and devices — replacing the cloud platforms entirely.
faster, more reliable test runs, with major cloud-cost savings and full control over the test environment.
Have a testing challenge, or a framework that needs building from scratch? Let's talk it through and map out how to solve it — no strings attached.