Name: AI as a Force Multiplier for QE Leaders | Toronto Meetup
Start: 2026-03-25T22:00:00.000Z
Location: 688 Richmond St. W. (3rd floor)

AI Isn’t the Engineer, You Are
Atlanta, this one’s special.

We’re excited to kick off The Test Tribe’s very first meetup in Atlanta, and we’re starting with a session that cuts straight through the AI hype.
AI is everywhere in engineering conversations—but here’s the truth: AI isn’t the engineer. You are.

When used well, AI can dramatically amplify skill, speed, and learning. When used poorly, it can just as quickly magnify confusion and bad decisions.

This inaugural Atlanta meetup is about empowerment, fundamentals, and using AI the right way - as a tool that scales human expertise, not a shortcut that replaces it.

**Event Details**

* Date: 12th March 2026
* Time: 6:00 PM - 8:00 PM (Atlanta Time)
* Venue: Peerspace - Building 30, 7730 Roswell Rd, Atlanta, GA 30350

**Session**: AI Isn’t the Engineer, You Are
**Speaker**: Charles Alderete

**About the Session**
In this high-energy, experience-driven talk, Charles Alderete shares his real-world journey using AI to build complex test automation systems.
Rather than “one-shotting” massive engineering tasks, Charles will show why iterative and interactive approaches produce far better results—and how AI works best when guided by strong fundamentals and skilled operators.

**You’ll learn:**

* Why AI augments and scales skill, but cannot replace it
* How experienced engineers can build high-quality automation faster than ever
* How AI can help overcome knowledge gaps when used as a learning partner
* Why fundamentals matter more now than ever

This is a practical, honest talk about what actually works when humans and AI build systems together.

**Key Takeaways**

* Fundamentals matter more than ever in an AI-driven world
* AI augments skill—it doesn’t replace it
* The best use of AI is upskilling and learning, not shortcutting thinking
* Iterative, interactive workflows beat “one-shot” AI engineering every time

**About the Speaker**
Charles Alderete has always been deeply curious about technology. After learning app development at a coding bootcamp in 2016, he spent the last 10 years building end-to-end automated regression suites for Cox Automotive.
Based in Atlanta, Charles balances his engineering work with a passion for learning—currently diving deep into mathematics—along with writing, reading, weight lifting, and volunteering at a local cat adoption center. He lives with his wife and three cats and loves being part of the city’s vibrant tech and community scene.

**Why You Should Attend**

* Be part of The Test Tribe’s first-ever Atlanta meetup 🎉
* Learn how to use AI to scale skill, not replace it
* Get practical insights from real automation experience
* Avoid hype-driven AI adoption and focus on what actually works
* Connect with Atlanta’s growing QA and engineering community

**About The Test Tribe**
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe Atlanta

TheTestTribe

Briana

Hema Balaji

Nataki Boykin

KRISHNA SAI NEELA

Christo

Michele

anmol jain

Kris

Michael

Sean Cancino

Nur Haque (N)

Capp Wiedenhoefer

Ruitao Chen

Jar2023

AI Isn’t the Engineer, You Are | Atlanta Meet-up

7730 Roswell Rd

Test automation is entering a new phase-one where Artificial Intelligence and test data strategy are no longer optional add-ons, but foundational pillars of quality engineering.

As systems grow more complex and release cycles accelerate, teams must move beyond brittle scripts and unreliable data. The future belongs to automation that can adapt, learn, and scale, powered by AI and supported by robust, secure, and realistic test data.

**At the 6th New York Meetup**, we’ll explore how AI-driven automation and modern test data strategies come together to help organizations deliver faster, more reliable, and higher-quality software.

**Event Details**

* **Date: 12th March 2026**
* **Time: 6:00 PM – 8:00 PM EST**
* **Venue: 307 W 38th St, Studio 1401 New York, NY, USA**

**Session: The Future of Test Automation: AI & Test Data Strategy**
**Speaker: Mani Deep Reddy Singireddy, Senior Manager – SDET, Equinox**

**About the Session**
The future of test automation is being reshaped by AI-powered capabilities and smarter test data management.
In this session, Mani will break down how AI enhances traditional automation through:

* Self-healing tests
* Intelligent test case generation
* Predictive defect detection
* Faster and more efficient test execution

At the same time, he’ll highlight why a strong test data strategy-focused on quality, security, and realism-is critical to making AI-driven automation reliable and trustworthy.
This talk connects technology, strategy, and execution, offering a clear view of how modern QA teams can reduce maintenance overhead, improve coverage, and accelerate delivery in fast-paced digital environments.

**Key Takeaways**

1. Clear understanding of AI’s impact on test automation
2. Awareness of AI capabilities and real-world constraints
3. How to build a strong, reliable, and secure test data strategy
4. Insight into the evolving responsibilities of SDET engineers
5. Practical guidance for scaling automation in complex systems

**About the Speaker**

Mani Deep Reddy Singireddy is a Senior Manager – SDET at Equinox and an experienced Test Architect with deep expertise in Quality Engineering and large-scale test automation.
He specializes in designing enterprise-grade automation frameworks across API, UI, mobile, and data-driven testing, tightly integrated into CI/CD pipelines and DevOps workflows.

Mani has extensive experience building scalable automation architectures, including intelligent test selection, self-healing frameworks, integration testing, and secure, compliant test data strategies. He is also passionate about mentoring high-performing QA and SDET teams, defining testing standards, and driving continuous quality improvements across distributed systems.

**Why You Should Attend**

* Learn how AI is transforming modern test automation
* Understand the critical role of test data in reliable automation
* Gain clarity on where AI helps-and where human judgment remains essential
* See how SDET roles are evolving in AI-driven environments
* Connect with New York’s QA, automation, and engineering community
* Be part of The Test Tribe’s 6th NYC Meetup

**About The Test Tribe**
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe New York | Testers and QA Meetups

chetan chauhan

Darshak

Rohit Vyas

Isaac Loloey

Wilson Jr Díaz

Reena pinto

Ravindra

georgy.trush

David Camilo Duran

The Future of Test Automation: AI & Test Data Strategy | New York Meetup

307 West 38th Street, New York, NY 10018, studio 1401

Automation is evolving.
We’ve moved from scripts…
to frameworks…
to AI-assisted tooling.

Now, the next frontier is here: Agentic AI-coordinated systems of intelligent agents working together to explore, validate, and monitor complex software environments.

At the 3rd Dallas Meetup, we’ll explore how multi-agent systems are reshaping Quality Engineering-especially in high-scale, multi-device streaming and ad-supported platforms. This isn’t about replacing testers. It’s about expanding their influence and redesigning how testing systems are built.

Event Details

* Date: 18th March 2026
* Time: 5:30 PM – 7:30 PM
* Venue: mindZvue – Plano Office - [https://maps.app.goo.gl/Jm444YZoQh5XA72E7](https://maps.app.goo.gl/Jm444YZoQh5XA72E7)

Session: Agentic AI in Quality Engineering

Speaker: Tejas Patel

About the Session
In this session, Tejas will share how agentic AI-collections of coordinated AI agents-can augment Quality Engineering, particularly for complex ad-supported streaming environments.
Drawing from real-world experience building and validating living-room ad experiences, he’ll walk through practical patterns where AI agents help with:

* Exploring ad behavior across device variants
* Generating complex and edge-case scenarios
* Validating telemetry and experiment configurations
* Continuously monitoring quality in production-like environments

You’ll see how the QA role evolves from manual verification to designing intelligent, AI-driven test systems-and what skills, mindset shifts, and architectural thinking this transformation requires.

Whether you’re just starting with AI or already experimenting, you’ll leave with actionable ideas for introducing agentic workflows into your test strategy.

Key Takeaways

* Understand how agentic AI (multi-agent systems) augments quality engineering beyond traditional automation
* Learn practical patterns for using AI agents in complex, distributed streaming environments
* Explore how agents generate scenarios and validate telemetry for innovative ad formats
* See how testers can transition from execution-focused roles to system designers of intelligent quality workflows

About the Speaker
Tejas Patel is a Quality Engineering leader with 22+ years of experience scaling testing and release practices for large-scale products in streaming and security domains.

He has led quality and launch readiness for ad-supported experiences across Prime Video and Freevee, driving high-velocity, zero-incident releases across multiple regions and platforms.

Tejas is also the author of “Quality Engineering – From Practice to Excellence” and is deeply passionate about quality as a mindset. His current focus is on how agentic AI and multi-agent systems can transform modern testing, experimentation, and operational readiness in complex distributed systems.

Why You Should Attend

* Learn how AI agents can move testing beyond scripts and static automation
* Understand how to design intelligent test systems for distributed environments
* Gain insights from real-world streaming and ad-tech experiences
* Discover the mindset shift required for AI-driven quality engineering
* Connect with Dallas-area QA and engineering leaders
* Be part of The Test Tribe’s 3rd Dallas Meetup

About The Test Tribe
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.

By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe Dallas

Samuel Jerome

Ramaswamy Palaniappan

Meraj Unnisa

Prince Devasitham

dubbakachandana

Abdul Rahim Marvaan

Pradeep Yerra

shraddha

Agentic AI in Quality Engineering | In Person Dallas Meetup

Mindzue- Plano Office

Testing AI Agents: Context, Evals, and Observability 101 for Software Testers
Traditional software testing assumes determinism.

Given the same input, you expect the same output.
AI agents don’t work that way.

When systems become non-deterministic, context-aware, and probabilistic, QA must evolve. Manual prompt checking and “vibe-based validation” are not enough. Testing AI requires instrumentation, evaluation strategies, and observability at a level most teams haven’t yet formalized.

At the 4th Chicago Meetup, we move from theory to engineering discipline-exploring what a professionalized testing lifecycle looks like for AI agents.

**Event Details**

* Date: 18th March 2026
* Time: 6:00 PM – 8:00 PM CST
* Venue: Association Forum, Chicago, Illinois

Session: Testing AI Agents - Context, Evals, and Observability 101 for Software Testers
Speaker: Michael Kessler – Technology Leader / Business Developer

**About the Session**
In this technical session, we shift from manual experimentation to structured verification.
Michael Kessler will demonstrate a live, pre-built AI agent constructed with LangChain, then walk through how to instrument it for reliability in real-world environments.

**This session focuses on:**

* Designing evaluation frameworks for probabilistic systems
* Instrumenting agents for observability and traceability
* Treating orchestration logic as a testable surface
* Moving beyond intuition toward measurable quality

You’ll gain a practical understanding of how to apply structured QA practices to AI-driven systems-bridging the gap between experimentation and production readiness.

**Key Takeaways**

* Moving from “Vibes” to Verification – replacing intuition with measurable evaluation strategies
* Debugging the “Black Box” with Observability – understanding agent reasoning and trace flows
* The “Unit Test” for Intelligence – designing meaningful evals for non-deterministic behavior
* Orchestration as a Test Surface – testing how agents coordinate tools, memory, and context

**About the Speaker**
Michael Kessler is a seasoned technology executive and entrepreneur with over 25 years of experience in the tech industry.
Throughout his career, he has led technology initiatives at organizations including Lucent Technologies, FactSet, and Vivid Seats, and has also built businesses in the fitness and dining sectors.
A specialist in Quality Assurance and Technology modernization, Mike is passionate about evolving traditional testing mindsets to address the challenges of AI-driven systems. He holds a degree in Computer Information Systems from DeVry University and has completed graduate-level coursework at DePaul University and MIT xPRO, focusing specifically on designing and building AI products.

**Why You Should Attend**

* Learn how to test non-deterministic AI systems with engineering rigor
* Understand evaluation strategies beyond prompt tinkering
* Gain insight into observability patterns for AI agents
* See a live demonstration of agent instrumentation in practice
* Connect with Chicago’s AI and QA community
* Be part of The Test Tribe’s 4th Chicago Meetup

**About The Test Tribe**
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners

The Test Tribe Chicago

Tetiana Igushkina

Ravi M

Palash Jain

saichittaloori

Ziyi Hu

Testing AI Agents: Context, Evals, and Observability 101 for Testers | Chicago

10 S Riverside Plaza, Chicago, IL 60606

The Test Tribe 12th Toronto Meetup – AI as a Force Multiplier for QE Leaders

Most AI discussions in testing revolve around generating test cases or accelerating automation.
But for Quality Engineering leaders, the real opportunity is much bigger.

AI is not just a tool for execution - it’s a force multiplier for decision-making. It can synthesize fragmented data, reveal hidden patterns, connect siloed systems, and elevate quality from reporting metrics to driving strategy.

At the 12th Toronto Meetup, we shift the conversation from tactical AI usage to strategic quality intelligence - and what that means for modern QE leadership.

**Event Details**

* Date: March 25th, 2026
* Time: 06:00 PM – 09:00 PM EST
* Venue: 688 Richmond St. W. (3rd floor)

Session: AI as a Force Multiplier for QE Leaders
Speaker: Puneet Randhawa, Director of Quality Engineering, StackAdapt
About the Session
While AI can generate tests and automation scripts, its greatest value for QE leaders lies in connecting the dots.

In this session, Puneet shares practical, real-world ways QE leaders can use AI to:

* Connect data from Jira, CI pipelines, Slack, monitoring tools, and more through MCP servers
* Build custom GPTs for defect trend analysis and regression intelligence
* Transform raw dashboards into actionable, forward-looking insights

This talk focuses on operating at a higher strategic altitude - shifting from tracking metrics to building systems that generate clarity, alignment, and informed decision-making.
If you’re leading QE in a fast-moving organization, this session will help you rethink how AI can amplify your impact.

**Key Takeaways**

* How QE leaders can use AI to connect siloed quality data into meaningful insights
* Practical examples of MCP servers and custom GPTs in QE workflows
* How to transition from reactive reporting to proactive, insight-driven leadership
* Ways to elevate quality from operational support to strategic advantage

**About the Speaker**
Puneet Randhawa is the Director of Quality Engineering at StackAdapt, with over 15 years of experience building and scaling QE teams in high-growth tech environments.
She is passionate about transforming quality from a support function into a strategic differentiator - leveraging data, automation, and now AI to enable smarter decisions and stronger outcomes.
Puneet actively mentors emerging QE leaders and shares practical insights from the field, focusing on how modern quality engineering can influence business strategy and organizational impact.

**Why You Should Attend**

* Gain a leadership-level perspective on AI in quality engineering
* Learn how to leverage AI beyond automation use cases
* Discover practical methods to turn metrics into intelligence
* Connect with Toronto’s QE and technology leaders
* Be part of The Test Tribe’s 12th Toronto Meetup

**About The Test Tribe**
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe Toronto

IRYNA

Kenan

Mohammed Asif JK

Juan Rios

Jokarr Morris

Daria

Filipe Ferreira

Vladimir Arango

Anastasia Vitchenko

Anton

Nurunnahar 

Alex Sarna

Leonid Chernyshov

J Prince

Jyotsna Rathee

siddhartha jha

pavithra narayan

jaspreet singh

Kuldeep Singh

AI as a Force Multiplier for QE Leaders | Toronto Meetup

688 Richmond St. W. (3rd floor)

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