Satar Shamsi Goushki

Introduction

I am an ML / AI Engineer with hands-on experience across machine learning, data engineering, MLOps, and applied AI. My recent work focuses on building complete, practical systems rather than isolated models, including data pipelines, model development and evaluation, experiment tracking, testing, deployment, and API-based inference. I also have an academic background in machine learning, mathematical modeling, image processing, parallel algorithms, high-performance computing, and data analysis through graduate studies and research at ITMO University.

Engineering Focus

• Machine Learning & Deep Learning
• ML Engineering & MLOps
• Data Engineering & ETL
• Time Series Forecasting
• NLP & Document AI
• Model Serving & APIs
• Data Analysis & Mathematical Modeling
• Research & Applied Computing

Approach

I approach machine learning as an engineering discipline as well as a modeling problem. I value reproducible workflows, clean and modular code, automated testing, data validation, experiment tracking, and maintainable deployment pipelines. I prefer practical solutions that can be understood, tested, and maintained, while using more advanced methods when they provide a clear benefit. My academic and project experience also gives me an interest in understanding the mathematical and computational foundations behind the systems I build.