JavaScript experts, mentors, speakers
Explore personalities and their talks, workshops, videos, and articles. While we focus primarily on JavaScript and frameworks like React, Vue, Svelte, and Node, you may find experts on other fields on our Portal. To name a few – Testing, DevOps, Machine Learning, and many more!

Ian Schwartz
Cargurus, USA
Ian Schwartz is a Principal Developer at Cargurus with nearly a decade of experience in JavaScript, and more recently, TypeScript. His passion lies in functional programming, which he loves to integrate with React to build robust and scalable web applications. With a strong background in modern JavaScript frameworks and libraries, He is dedicated to pushing the boundaries of what's possible in web development while fostering a collaborative and innovative environment. He has a dog that looks like a cow.

Gavin Ray
Hasura, USA
Full Stack Web Developer with expertise in all aspects of the web development life cycle, including requirements analysis, design, development and production support. Primary strengths are Node & Javascript (ES6, React, Vue), React Native, Ruby on Rails, Amazon Web Services/Heroku, and SQL + NoSQL Database Management.

Paul Everitt
JetBrains, USA
Paul is the PyCharm/WebStorm Developer Advocate at JetBrains. Before that, Paul was a co-founder of Zope Corporation, taking the first open-source applications.

Gil Zilberfeld
TestinGil, Israel
Gil Zilberfeld has been a software practitioner since the days of his Sinclair ZX81. With over 25 years of hands-on experience, he is a consultant, trainer, and speaker who helps development teams elevate their craft.
Gil challenges conventional thinking about how software gets built - whether that's outdated QA dogma or the assumption that AI coding agents will just figure out your engineering practices on their own. He builds real systems with AI tools daily, and shares the honest lessons: what works, what breaks, and what needs mechanical enforcement no matter how smart the model gets.
From TDD and clean architecture to AI-assisted development workflows, he provides actionable frameworks grounded in real production experience. You can find his practical advice and courses at testingil.com.

Luke Ehresman
Gazelle, USA
Luke is the co-founder of Gazelle, an all-in-one business automation solution for piano technicians. He founded and bootstrapped the company in 2015, helping piano technicians around the world grow their businesses. Gazelle has customers in over 30 countries and is translated into 11 languages.

Wesley Fuchter
Modus Create, Sao Ludgero, Brazil
Wesley Fuchter is Director of Software Engineering at Modus Create, where he spends his time turning AI coding tool experiments into organization-wide practice. After leading a structured A/B experiment that demonstrated a 40% reduction in development time, his focus shifted to the harder challenge: getting a full engineering team to actually leverage agentic coding. His team built the knowledge-sharing systems, workshops, and practical resource libraries that are driving the shift. With 14+ years in cloud architecture, enterprise modernization, and engineering leadership across healthcare, fintech, and Fortune 100 organizations, Wesley brings a practitioner's perspective, including what didn't work. He holds the AWS Solutions Architect Professional certification and has previously spoken at worldwide tech conferences.

Lukasz Jazwa
Tentaro, Poland
Lukasz Jazwa is CTO and co-founder of Tentaro, built for teams whose codebase knowledge lives in a few senior engineers' heads and whose AI agents rediscover the code from scratch on every task. Tentaro gives engineers and their AI agents real context of their
own code, running on their own infrastructure. He leads AI tooling adoption in practice, with Claude Code, Cursor and agentic workflows, and he pays the AI bills he talks about. Based in Wrocław, Poland.

Juliette MacPhail
mabl, USA
Juliette MacPhail is a Product Manager at mabl, where she spends her time working on a low-code platform for simplifying test automation and helping teams ship high-quality software. She’s passionate about understanding core challenges in the test automation space and enabling the transition to quality engineering. As an active member of mabl’s DEI committee, she spends her spare time on initiatives related to accessibility, inclusivity, and mental health in the workplace.

Jenn Creighton
Netflix, USA
Jenn Creighton is a senior software engineer at Netflix. She hosts Single Threaded Podcast. Organizer of Women of React 2020 conference & useReact.NYC meetup.
Jenn lives in New York with her two cats and maintains a Home for Abandoned Succulents, Mismanaged Plants and Otherwise Ailing Flora.
You can find her online - [@gurlcode](https://twitter.com/gurlcode).

Simon Zhong
Sentry, USA
Simon Zhong is a Sales Engineer at Sentry with almost 10 years of experience in enterprise software. He attended the University of Edinburgh and is a graduate of University of California, Davis in Computer Science. He is an American born Chinese (ABC) who is a native English speaker with conversational proficiency in Cantonese.

Neil Manvar
Sentry, USA
Neil Manvar is an engineer dedicated to helping developers ship quality code quickly. In his free time, you can find him cycling, snowboarding, or cuddling with his dog. He currently works as a Solutions Engineering Manager at Sentry, an Application Monitoring software company that helps software teams discover, triage, and optimize the performance of their code.

Tom Papiernik
Buddy, Poland
As a developer advocate and technical writer at Buddy, Tom takes his love for communication and passion for technology and uses them to break down complex ideas into bites that everyone can swallow. Having worked directly on open-source projects, he is equally passionate about the front and the back-end - be it React, Go, or Kubernetes. In his spare time, he's a guitar-wielding amateur musician who dreams of recording a platinum album.

Ivan Krutov
Aerokube, Russia
Software engineer with 10+ years of Java and Golang development experience. Working with large-scale test infrastructure during last 7 years. Maintaining a big Selenium cluster with 5000+ parallel browsers.

Alyona Galyeva
LINKIT, Netherlands
I encourage others to see different perspectives and constructively break the rules. Observe - Optimize - Learn - Repeat is my work and life motto. Next to it, I found my joy in building and optimizing end-to-end Machine Learning Systems.
Principal Data Solutions Engineer @ LINKIT
Organizer (volunteer) @ PyLadies Amsterdam
WaiACCELERATE Tech Mentor (volunteer) @ Women in AI

Yama Anin Aminof
MyPart, Israel
Yama is a data scientist at MyPart, an Israeli startup in the music industry, developing algorithms and researching lyrical and musical song features. In her spare time, she gives tech talks at conferences and meetups (Geektime Code, PyData Tel Aviv, IsraelClouds); and mentors a group of developers through their first steps in the data science world as a part of Baot - Israel’s largest community of senior female engineers and computer scientists. Yama has a B.Sc in mathematics and physics from Tel Aviv University where she also expresses her passion for music by playing the saxophone in the TAU Wind Band.

Maarten Van Hoof
Essent, Belgium
By day, Maarten supports front-end teams at Essent with their Accessibility and Design System challenges. By night, he tinkers with the Web Platform.

Santosh Nikhil Kumar
Byte Dance, USA
I currently work at ByteDance as an Engineering Lead for E-Commerce payments system software driving the business of TikTokShop product in the US. I graduated from Carnegie Mellon University with a Masters degree and Vellore Institute of Technology with a Bachelor's degree.
I’m a seasoned Silicon Valley professional in the Payments domain with proven engineering expertise for 10+ years. I pioneered the Software Engineering marvel resulting in the increase of user count of products by about 800 times in less than 6 months, generating kick-start revenue of $120k per week during 0 to 1 product growth, tripling the revenue from $5 billion to $14 billion in less than 5 years by getting over the plateau growth, for some of the prominent products in the world like iPhone, Apple Watch, iPad, AWS Amplify, Amazon Alexa mobile app, TikTok shop and Oracle backend server supercluster. The by-products of these business results are multifold improvement in Engineering productivity and grooming myriad software professionals for world class companies like Apple, Amazon, Oracle, SanDisk.

Dmitry Soshnikov
Microsoft, Russia
Dmitry is a Microsoft veteran, working for more than 13 years. He started as a Technical Evangelist, and in this role presented on numerous conferences, including twice being on stage with Steve Ballmer. He then worked for 2 years as Senior Software Engineer, helping big European companies to start pilot digital transformation projects based on AI and ML. As Cloud Developer Advocate, Dmitry focuses on creating educational content and working with academic and research institutions. He is also an Associate Professor at MIPT, HSE and MAI in Moscow, a big fan of functional programming and F#, and a maintainer/primary developer of mPyPl library. In his spare time, Dmitry explores Science Art and Technological Magic, as well as performs Chinese tea ceremonies. He can be reached at soshnikov.com.

Dipanjan Sarkar
Applied Materials, India
Dipanjan (DJ) Sarkar is a Data Science Lead at Applied Materials, leading advanced analytics efforts around computer vision, natural language processing and deep learning. He is also a Google Developer Expert in Machine Learning. He has also been recently recognized as one of the Top Ten Data Scientists in India, 2020 by Analytics India Magazine & TechGig. Dipanjan has advised and worked with several startups as well as Fortune 500 companies like Intel and Open Source organizations like Red Hat (now IBM). He primarily works on leveraging data science, machine learning and deep learning to build large- scale intelligent systems and evangelizing data science to the community.
Dipanjan is also a published author, having authored several books on R, Python, Machine Learning, Natural Language Processing, and Deep Learning.
