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BM

Beket Myrzanov

@beketm

ML Engineer

I love Machine Learning and Gradient Boosting Trees. Graduated from NU and have been working at Kazakhstani and US companies

Career

Experience: 4 years

Experience

Founding Machine Learning Engineer

Nace AI

Backed by General Catalyst; $5 million raised

Oct 2024 — Present

Built LLM evaluation, audit-agent, model-training, safety-classification, and distributed-training systems; reported outcomes include a 90% cost reduction, 11% model improvement, and processing 50K+ annual reports.

• Built an LLM-as-judge system to evaluate AI audit agents against expert ground truth, enabling systematic quality measurement and faster iteration on agent accuracy. • Developed a standalone evaluation toolkit that scores AI-generated audit workpapers offline, removing dependency on the full production stack and accelerating agent debugging.

Machine Learning Engineer

Otbasy365 LLP

FinTech company for small businesses

Oct 2023 — Sep 2024

Built data pipelines, an ML scoring system, and customer-classification ensembles; specific performance results are not provided.

• Built a data pipeline processing millions of rows, reducing preprocessing time through optimized processing and caching. • Developed an ML scoring system handling high-volume daily predictions with low latency, improving approval accuracy while maintaining model fairness. • Created ensemble models for customer classification achieving strong performance metrics.

Machine Learning Engineer

Materials Center Leoben

Leading research company in Austria

Jun 2022 — Jul 2022

Optimized and deployed edge AI models for Arduino Nano, reporting a 15% accuracy improvement and deployment to 100+ IoT devices.

• Optimized edge AI models (CNN, LSTM, VAE) for Arduino Nano, achieving a 15% accuracy improvement with 10ms inference latency and a 50KB memory footprint; deployed to 100+ IoT devices.

Data Science Developer

Bereke Bank

Top bank in Kazakhstan

May 2021 — Mar 2022

Led a data analytics and sales-funnel initiative that reportedly generated $800,000 in product sales, reduced churn by 15%, and cut processing time by 20%.

• Led an end-to-end data analytics initiative processing 500GB across multiple sources, implementing a sales funnel strategy and feature engineering (3,000+ features) that delivered $800,000 in product sales while reducing customer churn by 15% and data processing time by 20%.

Education

Bachelor of Computer Science, Computer Science

Nazarbayev University

2019 — 2023

Skills

Machine Learning