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Hi, I'm Ivan Mosiagin, a solution-oriented data scientist with over five years of experience and a strong scientific background. I love diving into data and finding insightful solutions to complex problems. I'm curious, self-motivated, and enjoy working with advanced machine learning models and scalable architectures. I've had the opportunity to lead technical teams, build LLM chatbot platforms, and manage big data workflows. Whether it's optimizing deployment or conducting in-depth research, I am passionate about merging data science with practical, impactful applications.…Hi, I'm Ivan Mosiagin, a solution-oriented data scientist with over five years of experience and a strong scientific background. I love diving into data and finding insightful solutions to complex problems. I'm curious, self-motivated, and enjoy working with advanced machine learning models and scalable architectures. I've had the opportunity to lead technical teams, build LLM chatbot platforms, and manage big data workflows. Whether it's optimizing deployment or conducting in-depth research, I am passionate about merging data science with practical, impactful applications.

IVAN MOSIAGIN

Data Scientist, AI Engineer, AI Strategy Consultant, +2

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Hi, I'm Ivan Mosiagin, a solution-oriented data scientist with over five years of experience and a strong scientific background. I love diving into data and finding insightful solutions to complex problems. I'm curious, self-motivated, and enjoy working with advanced machine learning models and scalable architectures. I've had the opportunity to lead technical teams, build LLM chatbot platforms, and manage big data workflows. Whether it's optimizing deployment or conducting in-depth research, I am passionate about merging data science with practical, impactful applications.…Hi, I'm Ivan Mosiagin, a solution-oriented data scientist with over five years of experience and a strong scientific background. I love diving into data and finding insightful solutions to complex problems. I'm curious, self-motivated, and enjoy working with advanced machine learning models and scalable architectures. I've had the opportunity to lead technical teams, build LLM chatbot platforms, and manage big data workflows. Whether it's optimizing deployment or conducting in-depth research, I am passionate about merging data science with practical, impactful applications.

Available to hire

Hi, I’m Ivan Mosiagin, a solution-oriented data scientist with over five years of experience and a strong scientific background. I love diving into data and finding insightful solutions to complex problems. I’m curious, self-motivated, and enjoy working with advanced machine learning models and scalable architectures.

I’ve had the opportunity to lead technical teams, build LLM chatbot platforms, and manage big data workflows. Whether it’s optimizing deployment or conducting in-depth research, I am passionate about merging data science with practical, impactful applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Co-founder, Technical Lead at TrAI

October 1, 2024 - Present

Designed and implemented the full data architecture, including relational schema modeling, PostgreSQL database implementation, automated ETL workflows using Airflow, and interactive analytics dashboards with Redash. Built a multi-LLM chatbot platform integrating leading models into a scalable backend stack using Kubernetes and Redis. Conducted in-depth research on modern large language models and performed market and competitor analysis to guide strategic AI product decisions. Managed a part-time technical team of 10 people including QA, data analysts, DevOps, and developers.

Data Scientist at The Intelligence Exchange

September 30, 2024 - July 31, 2025

Applied and optimized large language models (LLMs) for text data processing, optimizing cloud deployment on Kubernetes leading to a 100x cost reduction while maintaining model quality. Processed and cleaned 1 billion data points from 11 sources using PySpark and Python-integrated SQL. Developed a scalable neural network machine learning solution predicting demand across over 1000 product categories with a modular architecture suited for business integration. Refactored legacy business intelligence projects in logistics by transitioning from a local Docker environment to AWS cloud services including RDS, SageMaker, EC2, and Athena.

Quantitative Researcher at University of Vienna/Fribourg University

June 30, 2023 - July 31, 2025

Led mechanistic investigations analyzing high-dimensional experimental data such as spectroscopy, voltammetry, and kinetics. Applied mathematical modeling and statistical analysis to identify key drivers in complex chemical systems. Co-authored 11 scientific publications and presented findings at numerous conferences. Established reproducible end-to-end analytical pipelines covering data collection, visualization, and reporting with quantitative protocol standards.

Co-founder, Technical Lead at TrAI

October 1, 2024 - Present

Designed and implemented the full data architecture, including relational schema modeling and database implementation with PostgreSQL, automated ETL workflows with Airflow, and interactive analytics dashboards via Redash. Built a multi-LLM chatbot platform integrating leading models into a scalable backend stack using Kubernetes and Redis. Conducted in-depth research on modern LLMs, market, and competitor analysis to guide strategic choices in product and AI system design. Managed a technical team of 10 part-time members including QA, Data Analysts, DevOps, and developers.

Data Scientist at The Intelligence Exchange

September 30, 2024 - July 31, 2025

Applied and optimized large language models for text data processing. Optimized deployment using Kubernetes, achieving a 100x cost reduction compared to OpenAI's state-of-the-art model while maintaining quality. Processed and cleaned 1 billion data points from 11 sources using PySpark and Python-integrated SQL. Developed scalable machine learning solutions employing neural networks to predict demand across 1000+ product categories with modular architecture for business integration. Refactored and optimized legacy business intelligence projects on logistics by migrating from local Docker setups to AWS services including RDS, SageMaker, EC2, and Athena.

Quantitative Researcher at University of Vienna/Fribourg University

June 30, 2023 - July 31, 2025

Led mechanistic investigations involving high-dimensional experimental data such as spectroscopy, voltammetry, and kinetics. Applied mathematical modeling and statistical analysis to identify key drivers in complex chemical systems. Co-authored 11 high-quality scientific publications and presented at scientific conferences. Established end-to-end analytical pipelines encompassing data collection, visualization, and reporting to ensure reproducible workflows and quantitative protocol standards.