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!

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.

Nikita Golovko
Siemens, Germany
Dr. Nikita Golovko is a seasoned Solution Architect with over 16 years of experience in designing scalable, secure, and cost-effective software architectures for industrial and business-critical systems. With a strong academic background and research in machine learning, he bridges the gap between advanced AI technologies and real-world applications on the shop floor. Nikita has led full project lifecycles—from requirements and architecture design to deployment—ensuring compliance with security and industry standards. He is known for translating business needs into robust architectures and aligning cross-functional teams. Passionate about innovation and sustainability, he focuses on applying AI, IoT, and edge computing to drive continuous improvement in industrial environments.

Trish Ta
Shopify, Canada
Trish Ta is a Staff Developer Shopify with over 9 years of experience working on web applications. She started her career in creating software for data visualization. She is currently working on front-end libraries that empower developers to build cool things on top of Shopify’s platform.

Cynthia Akiotu
Accenture, Microsoft Data Protection Architect, United Kingdom
Mentorship available
Cynthia Akiotu is a Cybersecurity Architect and Identity Specialist with expertise in IAM, data governance, and Zero Trust. She is also a Microsoft MVP. She has led projects on securing AI-driven environments, identity risk, and insider threats. A certified Microsoft Identity & Access Administrator and Microsoft Certified: Information Security Administrator, Cynthia speaks at global events and writes on AI governance and security. She also leads community initiatives as Cyberhero Coach Cynthia, promoting digital safety.

Shane Ketterman
Toptal, USA
The scripted part: Experienced and results-driven Customer Success Manager with a proven track record of driving customer satisfaction, retention, and revenue growth. I am passionate about building strong relationships with customers and helping them achieve their goals based on outcomes-based thinking and maximizing the value they derive from products or services.
Unscripted: I am an empath, product nerd, people nerd, and a consultant/coach. My background in business, marketing, tech, and SaaS, allows me to bring a lot of great ideas and discussion to the CSM table. One can often find me learning AI, metrics, psychology, and trying to continually answer the question, "what can CSMs do to help customers solve real problems while also seeing future value in a product or service?"

Vijay Ramesh
Demandbase, USA
Vijay has been building software professionally for 20 years, focusing mostly on full-stack and backend development for the first half of his career before transitioning into data engineering and applied data science roles, and eventually into engineering leadership. Today at Demandbase he heads up two of the main application groups - supporting Account Based Experience and Advertising - as well as leading the Core and Shared Services platform team.

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.

John Robert
Senior Data and AI platform at Enerparc AG, Germany
John Robert is a Senior Data & Machine Learning Engineer at Sunnic Lighthouse (Enerparc AG), working at the intersection of data engineering, machine learning, and cloud platforms. He previously contributed to autonomous driving projects at Bosch and Mercedes-Benz, gaining hands-on experience with safety-critical AI systems. John is a frequent speaker at conferences such as PyCon, PyData, and Data Native, with a focus on AI safety, transparency, and trustworthy machine learning. Outside of work, he enjoys traveling and building projects like PetWorld+ and SpreadsheetProAI, etc

Michael Poteat
Volley Inc, USA
Located in the vibrant city of San Francisco, Mike Poteat is a committed technical leader, skilled software engineer, and approachable people manager. His areas of interest are wide-ranging and encompass programming, type theory, pure mathematics, and more.
In the open-source world, Mike has had the opportunity to contribute to meaningful projects. One of these, hkt-toolbelt, applies higher-kinded types to TypeScript in an attempt to expand its functionality. Additionally, he's worked on spellbound, an agent-based LLM-powered VS Code extension that aims to enhance the usability of the platform.
Currently, Mike finds himself immersed in the voice AI industry at a startup backed by Y Combinator. He's part of a team working on the front lines of artificial intelligence, continually learning and evolving their approach to create cutting-edge solutions.
Away from his day job, Mike takes time to reflect and share his experiences on his blog, code.lol. He delves into topics around machine learning, programming, and other tech-related subjects, hoping that his musings might offer value to others exploring these fields.

Javier Alcaide Pérez
Bluetab Solutions, Spain
Javier Alcaide is a mathematician and software developer focused on data science and machine learning. His professional career is based on the use of advanced analytics and big data techniques within the financial sector. His current role is the design and construction of AI models and the analysis of data using ETL processing with Big Data technologies.











