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sultan buzhkenov
Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.@sbuzhkenov
Data analyst · Smart Aqmola
Data analyst с опытом работы в госсекторе, работа в проекте разработки аналитической системы. Желаю войти в e-commerce analysis (rfm, cohort, retention).
Arslan Gait
@arslang
Senior Software Engineer · Biotronik
I am a software engineer with 6 YOE across multiple fields like fintech, medtech, and telecom. Casually doing some AI/ML stuff, using LLMs daily
Zohibullah Samim
@zohib
Freelance work · kz print. Taktika logistics
My name is Zohibullah Samim I am 28 years old i have a bachelor degree from AKNU in IS .
Nurgissa Sultanmakhmutuly
@mysyqlover
Machine Learning student specializing in NLP and LLM-based application systems. Built and shipped a production multi-tenant WhatsApp assistant serving three businesses from a single Flask process: RAG over a ChromaDB knowledge base (OpenAI embeddings, hot-reloadable index), GPT-4o-mini with tool calling, and auto-detected bilingual RU/KK dialogue with sticky per-flow localization. Designed a five-agent LangGraph question-generation engine using heterogeneous model routing: deterministic Python for mathematical integrity, low-cost models for generation, reasoning models for a Critic reflection loop with bounded backward retries, and Claude Sonnet for student-facing diagnostics. Applied practical LLM cost engineering: batch pre-generation, prompt caching, and routing each graph node to the cheapest model capable of the task. Strong mathematical background with a focus on applied NLP and scalable LLM systems.
Kamalkhan Artykbayev
@kartykbayev
Senior ML Engineer · QData
Average Компуктер Вижн Enjoyer, open to connect/collaborate on CV projects, also interested in Embodied AI. Love cycling, tennis and anime
Dulat Atabek
@atabekdulat
Head of Quantitative Research · Atlas Capital Ltd.
Head of Quantitative Research. 9+ years of experience building and deploying production ML solutions across fintech, marketplaces, investment analytics, and public-sector projects. Developed 50+ models used by more than 9 million users, covering NLP, computer vision, time-series forecasting, recommendation systems, fraud detection, and predictive modelling. Experienced in taking ML products from data preparation and experimentation through deployment, monitoring, and scalable production infrastructure.
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