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Hello, I'mSivasankaramalan

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.

Portrait of Sivasankaramalan
Product Engineer at
EPAM Systems
AI Native
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Building Products at Scale

Over a decade specializing in mobile engineering across iOS, Android, and cross-platform stacks, architecting automation frameworks that scale with products and teams. AI is now central to how I work: Cursor, Claude, Copilot, and custom MCP agents built into the engineering workflow, not bolted on. At EPAM Systems I lead mobile quality strategy across global teams, keeping reliability high without slowing release velocity.

Product Engineering

Building products from 0 to 1, owning the full lifecycle from ideation to production with a quality-first mindset.

AI Native Engineer

Using AI as a native engineering layer: Cursor, Copilot, Claude, and custom agents to accelerate development without shortcuts.

Systems Ownership

End-to-end ownership of systems, from architecture to observability, ensuring reliability at scale.

Program Leadership

Leading cross-functional teams, driving quality culture, and mentoring engineers into quality champions.

Experience

A decade of building quality at scale, from startups to enterprises.

  1. Nestlé Nespresso logo

    Technology Specialist, Lead | Mobile Apps

    Nestlé Nespresso

    Allowing Nespresso to deliver a seamless digital experience across mobile apps, web, and in-store devices by leading the mobile engineering team and driving quality engineering practices.

  2. EPAM Systems logo

    Lead SDET | Native AI Engineering

    EPAM Systems

    Leading unified automation strategy across mobile, web, and API layers while scaling global quality engineering practices and reliability tooling.

  3. Navi Technologies logo

    Senior SDET | App Experience

    Navi Technologies

    Owned mobile & chatbot automation strategy delivering near-complete E2E coverage and resilient quality signals through chaos and negative testing.

  4. OkCredit logo

    Associate Tech Lead

    OkCredit

    Founded and led SDET function, establishing full-stack automation and risk-based quality acceleration for a 1M+ user platform.

  5. Rakuten Viki logo

    Senior Software Engineer

    Rakuten Viki

    Managed cross‑platform automation for streaming apps (iOS, Android, OTT) optimizing release readiness and regression efficiency.

  6. Altisource logo

    Software Engineer

    Altisource

    Engineered scalable mobile automation and QA processes reducing leakage and enabling predictable delivery.

  7. AB Innovative logo

    Software Engineer

    AB Innovative

    Introduced automation to legacy B2B mobile systems to modernize QA maturity and reduce manual overhead.

Education

Academic foundations in product engineering and mechanical engineering.

  1. Indian Institute of Technology Madras (IITM) logo

    Indian Institute of Technology Madras (IITM)

    Executive Master of Business Administration · Product Engineering

  2. Anna University, Chennai logo

    Anna University, Chennai

    Mechanical Engineering · Bachelor of Engineering

AI Certifications

Verified credentials across Claude, GitHub Copilot, and Gemini Enterprise — the AI tools and systems I use every day.

Skills & Expertise

A comprehensive toolkit spanning AI-native development, automation, and product engineering.

AI Core

AI
  • Cursor
  • GitHub Copilot
  • Claude
  • Gemini
  • ChatGPT
  • Codex
  • MCP

AI Toolchain

AI
  • agent.md
  • LangChain
  • LlamaIndex
  • Ollama
  • OpenAI API
  • Vercel AI SDK

AI Systems

AI
  • RAG
  • Context Management
  • Tokenomics
  • Agent Memory

Languages

  • Java
  • JavaScript
  • Kotlin
  • Python
  • Shell Script

Automation & Testing

  • Selenium
  • Appium
  • Playwright
  • RestAssured
  • Postman

CI/CD & DevOps

  • Jenkins
  • GitLab
  • Docker
  • Kubernetes

Cloud & Platforms

  • AWS
  • Google Cloud

Monitoring & Observability

  • Grafana
  • Kibana

Product & Collaboration

  • Jira
  • Confluence
  • ClickUp
  • Notion
  • Miro

Product Design

  • Figma
  • Sketch
  • Affinity

Development Tools

  • VS Code
  • Warp
  • Zed
  • LM Studio
  • Swagger
  • OpenAPI

Social & Community

  • LinkedIn
  • Medium
  • Stack Overflow
  • Dev.to
  • Hashnode

Featured Initiatives

Key projects that showcase my approach to building quality at scale.

Featured

Test Orchestration Agent for Unified Automation

EPAM Systems

Centralized agent enabling unified execution of Web, API & Mobile suites across CI/CD pipelines with intelligent scheduling and observability.

  • Integrated with Jenkins & device clouds (40% pipeline effort reduction)
  • Observability hooks + artifact capture improved traceability
  • Reduced execution flakiness by 30% via stability heuristics
JenkinsAppiumRESTDockerAllureGraphQL
Featured

Device Farm for Test Automation

EPAM Systems

Scalable internal mobile device lab using Appium Grid & OpenSTF for distributed execution with containerized provisioning.

  • 75% increase in real-device coverage
  • 50% reduction in end-to-end test time via parallel scheduling
  • Containerized provisioning for rapid lab spin-up
Appium GridOpenSTFDockerK8sNGINX

Negative Experience / Resilience Testing

Navi

Framework to simulate adverse conditions (network, battery, interrupts) for mobile app resilience.

  • 10% reduction in defect leakage (pre-production)
  • Automated chaos scenarios integrated into CI
AndroidiOSAppiumProxy+1

Intelligent Test Execution for Mobile Apps

OkCredit

Smart regression layer using code diff + risk scoring to choose minimal high-value test set.

  • 60% reduction in regression cycle time
  • 90% mobile test coverage maintained
Git DiffAppiumPythonPrioritization Engine

Blog & Articles

Notes on AI-native engineering, quality practices, and building at scale.

Building Smarter Mobile Apps: AI Features and the Future of Mobile Development

Jul 3, 20269 min read

How on-device inference, AI coding tools, and intelligent testing are reshaping what mobile engineers build and how they build it.

AIMobile DevelopmentiOSAndroidOn-Device ML
Read

ADLC: The Agentic Development Lifecycle for Reliable AI Agents

Jul 1, 202611 min read

Why AI agents that work perfectly in testing fail in production, and how the Agentic Development Lifecycle gives you a structured path to agents that actually hold up.

AIAgentsADLCLLMOpsQuality Engineering
Read

AI Tokenomics: Using Tokens Effectively in Engineering Workflows

Jun 10, 20268 min read

A practical guide to understanding token costs, managing context windows, and optimizing AI spend across real engineering workflows.

AITokenomicsLLMCost OptimizationEngineering
Read

Shift-Left Testing: A Practical Guide

Oct 4, 20257 min read

Practical strategies for bringing testing earlier into the SDLC to accelerate feedback and improve quality.

Shift-LeftTestingDevOpsQuality Engineering
Read

The Future of AI in Quality Engineering

Feb 20, 20249 min read

Exploring how artificial intelligence and machine learning are transforming the landscape of software testing.

AIQEInnovation
Read

Building Scalable Mobile Automation Frameworks

Mar 15, 20238 min read

Learn how to design and implement mobile automation frameworks that scale with your team and product growth.

AutomationMobile TestingBest Practices
Read

Let's Connect

I'm always interested in hearing about new opportunities, challenging projects, or just connecting with fellow engineers. Feel free to reach out!

sivasankaramalan@gmail.com

GitHub

@Sivasankaramalan

LinkedIn

@sivasankaramalan

Resume

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Shipping code, breaking builds, fixing bugs. Repeat.

Made withand a mass of caffeine

© 2026 Sivasankaramalan Gunasekarasivam