People in DSML Kazakhstan

Lead Gen Specialist, AI, Twilio, LinkedIn, PhantomBuster, Codex, Claude Code, Agentic Workflows, n8n, Make.com, Apify, Apollo, Gemini, HeyGen, Instantly, Zoho.

8 лет в IT (больше 5 лет backend на Java/Kotlin + больше года Python в production AI/ML). Опыт руководства: Android-команда в Loudplay, backend-команда в МТС Умный дом, кросс-функциональная команда в МТС MedTech. Последняя роль - AI/ML B2B-продукт в MedTech (МТС), запуск с нуля до прода: VLM, RAG, LLM, OCR, агенты на медицинских документах. Раньше ускорял highload-сервисы через тесты производительности и профилирование (Diginavis, ×50 по тестам), довёл Android-приложение Loudplay до 1M+ установок и техническим решением расширил продукт на сегмент Smart TV. Не разделяю инженерное и продуктовое мышление: лучшие технические решения растут из понимания JTBD пользователя. Активно использую AI-инструменты для разработки и vibe- coding, стек подбираю под задачу, а не привязываюсь к одному языку.

I’m Timur, a fullstack and AI engineer. I build SaaS products, web apps, mobile apps, and Telegram bots end to end: architecture, backend, frontend, deploy, and production support. My main stack is Python (FastAPI), PHP (Laravel), React / Next.js, React Native / Expo, PostgreSQL, Redis, and Docker. I also work with LLM systems in production: classification pipelines, dialog agents, queues, retries, monitoring, and human-in-the-loop flows. I have about 3 years of overall experience, with strong commercial focus on shipping real products myself, from idea to release, including CRM integrations, payments, analytics, and high-load message processing.

Full-Stack / AI /ML Engineer | Python 🐍 → Rust 🦀 | High-Performance Backends | Rust Evangelist | Chasing Nanoseconds⚡

AI / Applied AI Engineer with 5+ years of commercial software engineering experience and hands-on delivery of production AI systems. Focused on Python, FastAPI, LLM applications, RAG, Qdrant, embeddings, vector/semantic search, reranking, prompt engineering, AI assistants, and local/open-source LLM integration. Built enterprise multilingual RAG systems over internal documents and business workflows, and evaluated Qwen and DeepSeek for answer quality, grounding, latency, and production suitability. Strong backend and production foundation across REST APIs, PostgreSQL, Kafka, Redis, Docker, Kubernetes, Linux, CI/CD, observability, and end-to-end troubleshooting.

I’m an AI/ML engineer with 6+ years of experience, with a strong background in computer vision and production ML systems. Recently, I’ve been building LLM/RAG-based AI search systems and working on recommendation systems, audio embeddings, and MLOps for music products. I enjoy taking ML solutions end-to-end, from data and experimentation to scalable inference, deployment, and monitoring.