About Me

A passionate software engineer with expertise in quality automation & DevOps

Syed Sayem

Hello, I'm Syed Sayem

A Software Engineer based in New York with over 15 years of experience in automated testing, DevOps, and quality engineering.

My career has been driven by a passion for building robust, scalable test automation frameworks and streamlining CI/CD pipelines that empower engineering teams to ship high-quality software faster and more reliably.

Core Strengths

Test Automation

Expert in building robust, maintainable test automation frameworks for web, mobile, API and desktop applications

DevOps Engineering

Experienced in implementing CI/CD pipelines, containerization strategies, and cloud infrastructure automation

AI/LLM Evaluation

Specializing in testing and evaluating AI-powered systems using LangChain, RAGAS, and TruLens frameworks

Technical Leadership

Proven track record of mentoring QA teams and implementing best practices across engineering organizations

Professional Background

Companies I've Worked With

WeWorkNamelyBooker SoftwareMillennium

Certifications

  • AWS Certified DevOps Engineer
  • Certified Kubernetes Administrator
  • Certified Scrum Master

Over the years, I've had the opportunity to work with industry leaders like WeWork, Namely, Booker Software, and most recently Millennium, where I led QA and automation efforts for complex, enterprise-grade applications across web, mobile, desktop, and APIs.

My technical toolkit spans Java, Python, Node.js, and Go, with deep expertise in tools like Selenium, Appium, Docker, Kubernetes, and modern frameworks such as LangChain, RAGAS, and TruLens. I'm especially proud of developing Raptor — a declarative, AI-powered automation framework that supports natural language scripting, self-healing locators, and seamless integration across platforms and technologies.

Lately, my work has expanded into the realm of AI/LLM evaluation, where I've applied QA principles to test and validate LLM-powered systems. From building evaluation chains with LangChain, to visualizing LLM behavior using TruLens, I'm excited about where AI and quality engineering intersect.

Technical Skills

Languages

  • Java
  • Python
  • TypeScript
  • Bash/Shell

Testing Tools

  • Selenium
  • Appium
  • TestNG/JUnit
  • Cucumber
  • REST Assured

DevOps & CI/CD

  • Docker
  • Kubernetes
  • Jenkins
  • GitHub Actions
  • AWS

Other Tools

  • Git
  • JIRA
  • Confluence
  • Maven/Gradle

Personal Interests

Open Source

Contributing to open-source testing frameworks and DevOps tools

Technical Writing

Writing blog posts about testing, DevOps and emerging technologies

Hiking

Exploring new trails and outdoor adventures whenever possible

My Philosophy

"Beyond the tools and frameworks, what drives me is a mindset of continuous learning, mentorship, and engineering with purpose. Whether I'm optimizing a flaky test suite, mentoring junior SDETs, or evaluating a generative AI model's reliability — I bring a thoughtful, scalable approach to every challenge."