Lomonosov Moscow State University · Astana
Research on the latest methods for identifying preferences.
- Recomendation systems
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Lomonosov Moscow State University · Astana
Research on the latest methods for identifying preferences.
Almaty, Kazakhstan
I’m an Applied AI/ML engineer with over 6 years of experience building and deploying production machine learning solutions — from classic ML to cutting-edge generative AI. I have experience in traditional ML, where I delivered end-to-end projects across data preparation, modeling, and production deployment. Over the past 2 years, I’ve specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agents, successfully taking multiple solutions from prototype to production to improve and automate business processes. I’m also a Kaggle Competition Expert, having participated in advanced LLM challenges. 🚀 Passionate about innovation, efficiency, and building intelligent systems that deliver real-world impact.
Student · NIS IB · Astana, Kazakhstan
I am an ML engineer experienced in building hardware integrated with AI, currently experimenting with Physical AI. I have experience of building stuff and even have my own home lab

DSML Reading Club Meeting #10 Speaker: Arystan Shokan Arystan Shokan earned a master's degree in mathematics from Boston University. His main research interests are in geometry and topology, including algebraic geometry, complex geometry, algebraic topology, differential geometry, and combinatorial geometry. Arystan also wrote a survey paper on Combinatorial Hodge Theory. At this meeting, Arystan will talk about Topological Data Analysis (TDA). In the seminar, we will explore how Topological Data Analysis can be used to study the shape and structure of data, especially when periodicity and cyclic states are present. We will discuss the key ideas of homology, Laplacians, and Betti numbers. Prerequisites: Linear Algebra 📅 Thursday, October 1, 12:00 KZ Time ➕ Add to calendar: https://calendar.app.google/rY4ghKSXMTBAQx186 ⚠️ Important about the meeting link: Only those who add it to their calendar will get access to the meeting—the Google Meet link will be inside.

Office · 1,300,000 to 1,500,000 KZT NET per month
TargetAI is focused on video analytics solutions. Responsibilities: • Designing and developing CV/Video Analytics models: object detection (person, vehicle, face, etc.), tracking, recognition (face, license plates, attributes) • Working with video pipelines: RTSP/HTTP - decoding, frame sampling, batching • Adapting and customizing models for real-world conditions: poor lighting, different camera angles, noise, compression, FPS drops • Fine-tuning and retraining models for specific customer scenarios • Optimizing inference for CPU • Reducing latency and resource consumption • Balancing accuracy vs performance • Integrating ML models into production: backend services, edge devices, on-prem installations • Monitoring model quality: precision/recall, data drift • Preparing and analyzing datasets: labeling, validation, data augmentation • Building training and testing pipelines • Analyzing model errors and quality degradation Requirements: • 4+ years experience in Computer Vision/Video Analytics • Strong understanding of CNN, YOLO, SSD • Experience with Face recognition pipelines • Knowledge of OCR/ALPR • Proficient in PyTorch or TensorFlow, OpenCV, ONNX • Understanding video formats and streams: RTSP, codecs (H.264/H.265), FPS, bitrate, latency • Experience optimizing CPU-only inference • Experience working with Linux • Deep understanding of OpenVINO • Knowledge of edge-device logic • C++ for performance-critical components • Experience with Kafka • Experience with gRPC/REST • MLOps skills: MLflow, model versioning, monitoring • Experience with large-scale CCTV projects
I am looking for new opportunities
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At the tenth DSML Reading Club meeting, Arystan Shokan will discuss Topological Data Analysis and how to study data shape and structure.
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