Tessa Hendriks

Tessa Hendriks

Lifelong .NET developer specializing in AI‑driven transformation | .NET • AI • Cloud Consultant @ 4DotNet

's-Hertogenbosch, The Netherlands

Actions

Tessa Hendriks is a senior .NET developer and AI specialist with more than twenty years of experience working on complex software systems. She has been using Azure AI Services such as OCR, Form Recognizer and LLM based solutions since before the current AI wave took over the industry.

She is known for delivering results in situations where others expect long timelines or low feasibility. In one of her recent projects, she built a fully working AI powered solution in six weeks for a challenge that had originally been estimated at one year. This led to several follow up assignments, including a transformation project for a mixed engineering team with offshore developers, internal staff and external consultants working on a large and mission critical .NET and Azure platform. Her work focuses on three areas: improving team communication and psychological safety, using AI to analyse and optimise DevOps processes, and modernising codebases with practical and intelligent tooling.

Outside of tech, Tessa has a background that strongly shapes her approach to leadership and decision making. She is a world level jiujitsu referee and the first woman in the Netherlands to earn the highest international arbitrage license. Years of performing under pressure, making split second decisions and staying calm in high stakes environments influence the way she works with teams and approaches engineering challenges.

As one of the few women in her IT education and early career, she learned how to navigate environments that were not designed with her in mind. Her talks combine engineering depth with honest stories about bias, resilience and the human side of software development. She aims to make the industry more inclusive by sharing real experiences and practical lessons.

She believes software development is a deeply creative profession, and that AI, when used thoughtfully, can make teams stronger and software better.

Area of Expertise

  • Information & Communications Technology

Topics

  • Artifical Intelligence
  • Using AI and LLMs
  • Generative AI
  • Machine Learning Engineering
  • AI in Software Development
  • Microsoft Azure Cognitive Services
  • Azure Cloud
  • Cloud Development
  • .NET Backend
  • C#.Net
  • Software Engineering & Architecture
  • Code Quality
  • Refactoring
  • Legacy Modernization
  • CI/CD automation
  • Azure DevOps Services
  • Team Collaboration
  • Engineering Culture
  • Technical Leadership & Management
  • Career Development in Tech
  • Women in Tech
  • Diversity & Inclusion

How to Become a (Female) Developer, A Survival Guide No One Asked For

A personal and honest talk about what it means to build a career in tech when you do not fit the default template. Tessa shares real stories from her journey as one of the few women in her IT education and early career, including moments of bias, assumptions, and situations where she had to prove herself more than once. She also shares the unexpected positives, the people who made a difference, and the moments that shaped her confidence and direction.

With humor and clarity, she reflects on what helped her stay, grow, and thrive in the industry. From navigating stereotypes to finding allies, from dealing with self‑doubt to building resilience, and from early setbacks to discovering her own voice and leadership style. This session is not only about being a woman in tech. It is about the human side of becoming a developer, learning to trust your strengths, and finding your place in a world that is still evolving.

-Target audience: developers, tech leads, students, early‑career professionals, and anyone interested in the human side of engineering

- Session type: storytelling / inspirational / personal experience

Technical level: non‑technical (suitable for all audiences)

First public delivery: 13 May 2026 (4DotNet internal session)

Preferred duration: 45 minutes (flexible between 30–60 minutes)

Requirements: projector + audio (no special technical setup needed)

Developers Deprecated? Not So Fast! How AI Can Solve Problems You’re Not Looking At

Everyone talks about AI as if it is about to replace developers. And many teams assume that generating more code will automatically make them faster. But real engineering work is rarely that simple. When you start using AI in a different way, something unexpected happens: the real bottlenecks show up in places you were not looking.

In this session, Tessa shares how she used AI to support a mixed engineering team with offshore developers, internal staff, and external consultants working on a highly complex .NET and Azure platform. Not by automating their work, but by uncovering hidden bottlenecks, improving collaboration, and accelerating modernization efforts that had been stuck for years.

Through concrete, real-world examples, she shows how AI can:
• Highlight patterns in Azure DevOps workflows that no one noticed
• Improve communication and alignment across distributed teams
• Modernize large and aging codebases with LLM-supported refactoring and test generation
• Bring clarity, speed, and confidence back into engineering processes

This is not a theoretical AI story.
It is a field report from someone who has done the work, delivered results, and learned where AI truly makes a difference in modern software teams.

• Target audience: .NET developers, tech leads, architects, DevOps engineers, engineering managers
• Session type: technical / practical / case‑study
• Technical level: intermediate to advanced
• First public delivery: available for conferences from May 2026
• Preferred duration: 30–45 minutes
• Requirements: projector + audio; optional demo environment (Azure/OpenAI)

Black Belt Decisions: What a World-Class Referee Can Teach You About Tech Leadership

What does it take to make split second decisions on a world stage, with cameras, coaches, athletes and thousands of spectators watching your every move? Alongside her work as a .NET developer and AI specialist, Tessa spent years climbing to the highest level of international jiujitsu refereeing, eventually becoming the first woman in the Netherlands to earn the ‘World‑A’ level, the highest refereeing certification in the sport.

In this session, she reveals the surprising parallels between world class refereeing and leadership in tech. The same principles that drive top level arbitration also define effective technical leadership: clarity, confidence, preparation and the ability to stay calm when everything is moving fast.

Through stories from international tournaments, intense training and years of high stakes arbitration, Tessa shows how the mindset required at the highest level of sport directly translates to modern engineering teams. From handling pressure and making confident decisions with incomplete information to learning from mistakes and continuously improving your craft, this session connects elite performance to everyday leadership challenges in tech.

You will walk away with practical insights you can apply immediately:

• How to stay calm and effective under intense pressure
• Techniques for making fast and confident decisions with limited information
• Why preparation and deliberate practice matter more than talent
• How to build resilience and recover from mistakes without losing momentum
• What world level performance teaches about leadership, trust and team dynamics
• How these principles strengthen your work as a developer, engineering professional or tech lead

• Target audience: developers, tech leads, managers, anyone interested in performance psychology
• Session type: inspirational / leadership / personal experience
• Technical level: non‑technical (suitable for all audiences)
• Preferred duration: 45 minutes
• Requirements: projector + audio

Tessa Hendriks

Lifelong .NET developer specializing in AI‑driven transformation | .NET • AI • Cloud Consultant @ 4DotNet

's-Hertogenbosch, The Netherlands

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top