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Dinmukhammed Serik

New research profileSeptember 28, 10:49

KBTU, School of Information Technology and Engineering; State Credit Bureau · Almaty, Kazakhstan

First-year master's student in Data Science at KBTU with a background in data engineering at the State Credit Bureau. Interested in machine learning research and in applying ML to large-scale financial and credit data. Planning PhD applications in Europe and looking for a research group to collaborate with.

machine learning
reinforcement learning
NLP
+1

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Alibi Serikbay@speedruntheworld

New DSML profileSeptember 30, 02:14

Senior AI Engineer · BTS Digital · Astana

AI/ML Engineer with 5 years building production LLM systems — RAG pipelines, agentic workflows, and the evaluation harnesses that prove they actually work. Recent: hybrid retrieval (pgvector HNSW + BM25, fused via RRF) that lifted nDCG 18.9%; a legal RAG system that moved macro recall from 64% → 81.6% across a 1,200-query DeepEval suite; a LangGraph ReAct agent routing vector search, structured APIs and web tools through a LiteLLM gateway; an MCP server exposing 10 tools to any MCP-compatible client. Before LLMs: computer vision — YOLO detection, ViT-based embedding search, liveness detection for anti-spoofing. Stack: Python · PyTorch · LangChain/LangGraph · FastAPI · PostgreSQL/pgvector · Docker · AWS · DeepEval · Langfuse

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Codex не спит, Claude управляет приборами — защита буксует

AI Radar editionAugust 29, 18:31

AI Engineer Instructor at KAI

New vacancySeptember 23, 20:08

Remote · 1,200,000 to 1,600,000 KZT NET per project

KAI is an IT academy that has been training specialists in technology and digitalization since 2013, with over 5,000 graduates. The course covers topics such as RAG and vector storage, MCP and AI agents, LLM and model fine-tuning, data and document handling, Evals, and CI/CD. Responsibilities: • Lead one or more modules of the AI Engineering course • Share practical experience in AI Engineering Requirements: • Experience with LLM and AI projects • Proficient in Python • Understanding of production development • Ability to explain complex concepts clearly

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16 NeurIPS 2026 contests

Community newsAugust 30, 15:08

NeurIPS 2026 is coming, with the Competition Track featuring 16 competitions on various topics: • Scientific AI, Physics & Engineering: Learn2Design, Smart Buildings, Fusion Equilibrium, RealPDE, FAIR Universe Weak Lensing. • Healthcare/Bio: SimulacraBench, AMP Challenge, Speech Accessibility Project Challenge 2, Virtual Embryo. • Foundation Models, Reasoning & AI Evaluation: Steerability, Predictive AI Evaluation, AIMO Interpretability, QuantiPhy. • Robotics, Agents & Embodied AI: RoboSyn, RoCo-Spring, Agenthon for qunatitative finance Several more competitions will take place as part of workshops: EEG/EMG Foundation Challenge, AV Causal Reasoning Retrieval Challenge, Lean Refactor Arena, AgentOdyssey. Most competitions run in September and October. It is a great opportunity for anyone interested—including school students and people outside research—to tackle frontier problems faced by top labs, publish a paper about their solution, and attend the largest AI conference.

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Nurdaulet Zhiyenbayev@nurdizz

Working onSeptember 17, 10:31

Looking for a job

am a Python/Django backend developer transitioning into Machine Learning. I am looking to meet ML engineers, mentors, or hiring managers. Advice on my learning path, or leads for junior/intern roles, would be incredibly helpful.

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DSML.KZ НовостиAug 30, 2026

16 NeurIPS 2026 contests

NeurIPS 2026 will feature 16 competitions in scientific AI, healthcare, foundation models, robotics and other fields.

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DSML.KZ НовостиAug 18, 2026

Open datasets for Kazakh

Asel Yermekova compiled a structured collection of open Kazakh-language datasets for NLP, speech, and computer vision.

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DSML.KZ НовостиAug 7, 2026

Kazakhstan shines at IOAI

Kazakhstan’s team won 2 gold, 2 silver and 4 bronze medals at IOAI. Dauzhan Beketov placed second overall.

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