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Nadir Nuralin

@nadirConnected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.

Machine Learning Engineer | Computer Vision | ML Systems

CV/ML Engineer at Kaspi. BSc Mathematics @ NU. MSc Data Science @ Sapienza. Interested in computer vision, machine learning, and AI research.

Career

Experience: 2 years

Experience

Machine Learning Engineer

Kaspi.kz

Kazakhstan-based technology and financial services company, best known for its payments, marketplace and consumer finance products.

Apr 2026 — Present

Builds computer vision, OCR and VLM pipelines for moderation, catalog quality and document understanding, and deploys GPU-backed ML services.

• Developed and productionized computer vision pipelines for photo and video content moderation and marketplace catalog quality, covering dataset construction, labeling, evaluation, threshold calibration, and error analysis. • Built visual-embedding retrieval and product-catalog deduplication systems using vector search, and similarity analysis; investigated false positives and improved matching logic. • Developed OCR- and VLM-based pipelines for text recognition in images and scanned documents, structured resume parsing, image understanding, and product attribute extraction.

ML Research Intern

GLADIA Research Lab

Feb 2025 — Dec 2025

Designed a Mamba autoregressive model for raw audio generation and used reproducible training and structured experiments to improve stability and sample quality.

• Designed a U-Net-style Mamba autoregressive model for raw-audio generation using residual prediction. • Built reproducible PyTorch training pipelines and used structured ablations and diagnostics to improve training stability and sample quality.

Business Analyst – IT Audit

Deloitte LLP

Global professional services network providing audit, consulting, tax and advisory services to businesses and public sector organizations worldwide.

Nov 2022 — May 2023

Automated audit checks with ACL and SQL to identify anomalies and control risks in transactional data and business processes.

• Automated transactional integrity and exception-detection checks with ACL and SQL, identifying anomalies and control risks across audit data and business processes.

Education

M.S., Data Science

Sapienza University of Rome

2023 — 2025

B.S., Mathematics

Nazarbayev University

2018 — 2023

Skills

PythonSQLPyTorchOpenCVtimmHugging Face Transformersscikit-learnONNX RuntimeFastAPIDockerKubernetesLinuxGitPostgreSQLpandasNumPy