People in DSML Kazakhstan

As a Mobile Application Developer at KG Teknoloji for the past 9 months, I have focused on building high-performance mobile applications within the HarmonyOS ecosystem using ArkTS. My work includes designing ArkUI declarative interfaces, integrating RESTful APIs, and optimizing cross-device applications for seamless performance, memory, and battery efficiency. My expertise in TypeScript/JavaScript, DevEco Studio, and HarmonyOS system services supports the development of innovative solutions for smartphones and wearables. With over 7 years of experience in software and mobile application development, my professional journey includes leading module development, creating mobile apps using Flutter, and implementing Server-Side Rendering with React and Next.js. I am committed to leveraging cutting-edge technologies to deliver impactful digital products that meet evolving business needs.

Data scientist in finance industry, creating shareholder value but passionate about climate and social justice, raised in Astana, based in Paris

Senior ML Engineer with 5+ years of experience building production-grade AI systems. M.Sc. in Computer Science and Applied Mathematics. Specialize in LLM agents, NLP, RAG, CV, Classic ML and MLOps, covering model research, training, deployment, and production monitoring

I'm an AI/ML engineer, if money meant nothing, I would be a researcher in LLMs. However, currently, I need money😔

ML/CV engineer from Kazakhstan. Experienced in ML for banking and Computer Vision systems for warehouse automation. Interested in MLops and different areas of Computer Vision.

For the past four years I've worked as a technical director, and most of that time went into two things: people and pipelines. I've taught dozens of students to code and grown several of them into mid and senior engineers, and I built an 11-person team inside my own startup. On the technical side we brought a RAG system up from zero — classifying terabytes of data and vectorizing it for search and worked with computer vision models, training and optimizing them ourselves to process visual content at scale. Within a single startup we analyzed millions of videos, both visually and verbally. My range runs from writing code and building human interfaces all the way to DevOps and ML. I like owning the whole path from idea to production rather than one slice of it.