With over 12 years of experience in architecting and implementing robust, scalable quality systems for Fortune 500 companies, I specialize in delivering resilient digital experiences across OTT/Media Streaming, E-commerce, and Fintech domains. My background spans web, mobile, cloud, and device ecosystems, with a strong foundation in test strategy, automation architecture, and large-scale quality enablement.
Beyond classical automation, I am designing, prototyping, and evaluating LLM-assisted test systems and autonomous QA agent architectures. My focus is on developing intent-aware, explainable, and self-healing QA concepts that significantly reduce long-term maintenance while improving system resilience. I emphasize production-grade design principles—deterministic control, observability, and trust—validated through hands-on experimentation and research-driven prototypes.
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Autonomous & Agentic QA Systems (Design, Prototyping, Evaluation)
LLM-assisted reasoning, deterministic heuristics, vision-based UI understanding, and agent orchestration concepts. -
Explainable Test Repair & Self-Healing Concepts
Failure analysis pipelines, confidence scoring, auditable decision artifacts, and human-in-the-loop validation models. -
LLM-Augmented Test Generation & Maintenance
Exploratory approaches for intent-based test creation, adaptive selectors, and maintenance-aware automation design. -
CI/CD Quality Gates with AI-Assisted Validation
Integrating classical automation with AI-assisted signals for smarter quality gates. -
Cross-Device & OTT Streaming Quality Engineering
Deep expertise in media workflows, device certification, DRM validation, and playback quality analysis. -
Test Strategy & QE Architecture
Developing full-lifecycle test strategies, framework architectures, and leading cross-functional quality enablement for large-scale engineering organizations.
| Category | Skills |
|---|---|
| AI / LLM Engineering for QA | Confidence scoring, Deterministic heuristics + LLM hybrids, Explainability artifacts (JSON timelines), LM Studio, LLM orchestration, Prompt engineering, Reasoning pipelines |
| Vision-Based Automation | Multimodal test exploration, UI understanding from screenshots (Vision LLMs), Visual fallback strategies |
| Test Automation (UI/API) | Appium, Cypress, GraphQL, Playwright, Postman, RestAssured, Selenium, WireMock |
| Test Frameworks & BDD | Cucumber (BDD), Jest, JUnit, Pytest, TestNG |
| Developer & Tools | Java, JavaScript, Python, TypeScript, Charles Proxy, Git, GitHub, GitLab, Proxyman |
| Media & Streaming QC | AWS Elemental, DRM validation (Widevine, FairPlay), FFmpeg, HLS/DASH, Playback and QoS analysis |
| Performance & Load | Artillery, JMeter, Load and stress testing, Locust |
| Visual & UI/UX Quality | Figma collaboration, Percy (Visual Regression), Storybook |
| CI/CD, Cloud & DevOps | AWS (Device Farm), Azure DevOps, BrowserStack, CircleCI, Docker, GitHub Actions, Jenkins |
| Databases & Data | NoSQL (MongoDB), SQL (PostgreSQL, Oracle), Data validation |
| Platforms & Devices | Mobile: Android, iOS; TV & Consoles: Apple TV, Fire TV, Roku, Tizen, webOS, Xbox; Desktop: Linux, macOS, Web |
| Project Management | Jira, Jira Automation, Scrum, Kanban |
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Transparency & Control
I avoid reliance on opaque “AI magic.” Automated decisions should be explainable, auditable, and reviewable by design. -
Zero-Trust AI Architecture
I favor zero-trust AI QA systems, where correctness is enforced through strict architectural guardrails and deterministic validation—not just model outputs. -
Pragmatic Innovation
I bridge traditional QE rigor with modern AI-assisted techniques, ensuring ideas are evaluated realistically for production readiness. -
Responsible AI Adoption
I explicitly distinguish between experimental AI capability and production-ready systems, ensuring claims, implementations, and outcomes remain defensible and trustworthy.
I share learnings and perspectives on AI-assisted quality engineering, autonomous testing concepts, CI/CD strategy, and OTT quality.
Outside of work, I experiment with sound design and curate music playlists.
Open to discussions on AI-assisted QA, autonomous testing concepts, media quality, and large-scale test architecture.
