I build products, own systems end to end, and use AI as a native engineering layer to move faster without compromising quality. From shift-left testing to intelligent automation — shipping reliable, scalable software loved by users.
Over the past decade, I've been at the intersection of product engineering and quality—building systems that scale, leading teams that ship, and integrating AI to move faster without compromising reliability.
I believe in owning systems end-to-end. From architecting automation frameworks that serve millions of users to building products like GoLocally and Local.Ally, my approach combines technical depth with product thinking.
Quality isn't just testing—it's a continuous discipline woven into every commit, every deploy, every user interaction. I champion shift-left practices, architect AI-driven automation frameworks, and shape reliable, scalable digital experiences.
Currently, I'm exploring how AI can transform the way we build software—not as a replacement for engineering judgment, but as a native layer that amplifies what we can achieve.
Building products from 0 to 1, owning the full lifecycle from ideation to production with a quality-first mindset.
Using AI as a native engineering layer—Cursor, Copilot, Claude, and custom agents to accelerate development without shortcuts.
End-to-end ownership of systems, from architecture to observability, ensuring reliability at scale.
Leading cross-functional teams, driving quality culture, and mentoring engineers into quality champions.
A decade of building quality at scale—from startups to enterprises.
Leading unified automation strategy across mobile, web, and API layers while scaling global quality engineering practices and reliability tooling.
Owned mobile & chatbot automation strategy delivering near-complete E2E coverage and resilient quality signals through chaos and negative testing.
Founded and led SDET function, establishing full-stack automation and risk-based quality acceleration for a 1M+ user platform.
Managed cross‑platform automation for streaming apps (iOS, Android, OTT) optimizing release readiness and regression efficiency.
Engineered scalable mobile automation and QA processes reducing leakage and enabling predictable delivery.
Introduced automation to legacy B2B mobile systems to modernize QA maturity and reduce manual overhead.
A comprehensive toolkit spanning AI-native development, automation, and product engineering.
Key projects that showcase my approach to building quality at scale.
EPAM Systems
Centralized agent enabling unified execution of Web, API & Mobile suites across CI/CD pipelines with intelligent scheduling and observability.
EPAM Systems
Scalable internal mobile device lab using Appium Grid & OpenSTF for distributed execution with containerized provisioning.
Navi
Framework to simulate adverse conditions (network, battery, interrupts) for mobile app resilience.
OkCredit
Smart regression layer using code diff + risk scoring to choose minimal high-value test set.
Learn how to design and implement mobile automation frameworks that scale with your team and product growth.
Exploring how artificial intelligence and machine learning are transforming the landscape of software testing.
Practical strategies for bringing testing earlier into the SDLC to accelerate feedback and improve quality.
I'm always interested in hearing about new opportunities, challenging projects, or just connecting with fellow engineers. Feel free to reach out!
Shipping code, breaking builds, fixing bugs — repeat.
Made withand a mass of caffeine
© 2026 Sivasankaramalan Gunasekarasivam