Senior Software Engineer specializing in TypeScript, Node.js & React. Ex-Equitybee, myInterview Tech Lead, and Le Wagon Instructor. Builder, problem-solver, and public speaker passionate about scalable systems and great products.

I’m particularly interested in expanding my expertise in AI and machine learning, especially around applying LLMs, intelligent automation, and data-driven product experiences to real-world applications. I’m eager to learn from and collaborate with engineers, researchers, and founders working on AI-driven platforms, developer tools, and scalable backend systems. I’m also interested in opportunities to mentor or work with teams building innovative products at the intersection of AI, fitness tech.

I’m currently building an AI Trainer LLM–based system at amp, focused on transforming how users learn, train, and interact with fitness technology. The project involves designing intelligent, personalized coaching experiences powered by large language models, real-time data, and adaptive content generation. I’m actively experimenting with model behaviors, context management, and scalable backend integrations to create a highly responsive and intuitive AI training companion.

Experienced Backend Software Engineer with 3 years of experience and a B.Sc. in Computer Science. Proven track record leading development teams in the IDF and delivering scalable, high-availability systems. Passionate about solving complex problems and building robust, production-grade architectures.

Creating and developing ai voice agent ready for production

Creating an fitness ai coach

Mike Chatsky is a Software Engineering Team Lead at amp, also known by the company name amp fitness. He has an inferred 10 years of experience and is located in Tel Aviv-Yafo, Israel. His educational background includes studies in Computer Programming and Computer Science from Mamram School of Computer Professions and The College of Management Academic Studies. His Twitter handle is mikechatsky.

- Business impact with AI features - AI context management

Building a workout generation system based on personal data. Tactical work involves full-stack development (Node.js, React, .NET Core) and implementing robust container infrastructure using Docker, OpenShift, and CI/CD pipelines.

Gilad Koch is an AI Guild Lead & Full Stack Engineer at amp, where they also serve as an AI Engineer (Research & Development). They are located in Tel Aviv-Yafo, Israel. Gilad Koch's education includes Computer Science from Ben-Gurion University of the Negev, and they have approximately 8 years of experience.

Advancing LLM-based conversation copilots, real-time insights systems, and human-AI interaction. • Exploring multimodal AI, including speech, video, and cultural-nuance understanding. • Designing scalable AI architectures, agentic workflows, and evaluation pipelines. • Collaborating on AI-powered developer tools, productivity platforms, and workflow automation. • Learning about applied machine learning research, especially around reasoning, personalization, and evaluation. • Connecting wit

Building a personal AI coach, LLM-based conversation copilots, real-time sales insights systems, and cultural-nuance detection pipelines. Work involves hands-on LLM integration, inference pipeline implementation, and designing scalable AI architectures using Python, TypeScript/React, and AWS.