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teetertater
·3 माह पहले·discuss
Wow, thanks. Crazy
teetertater
·3 माह पहले·discuss
Sounds interesting, source?
teetertater
·4 माह पहले·discuss
SEEKING WORK | Worldwide Remote, Vienna Austria Services: Senior/Staff Machine Learning Engineering, AI Dev, Data/Software Consulting, Fractional Tech Leadership

Hi, I’m Yury: 10+ years of experience delivering end-to-end AI projects on tight deadlines. I help companies plan, prototype, and productionalize machine learning systems, modern data pipelines, and enterprise-grade Agentic systems.

Industry focus:

  - Regulated Industries (Healthtech, Energy)
  - Manufacturing and logistics (Additive Manufacturing, Metals, Lumber, SCM)
  - Hardware and Robotics
Tools/Tech:

  - Languages: Python, SQL, JavaScript (+ some Java/Scala) 
  - ML/AI: Computer Vision, forecasting, production LLM agents / GenAI
  - ML Engineering: Spark, Databricks, DuckDB, dbt/SQLMesh, Delta Lake/Iceberg, Airflow/Dagster, MS Agent Framework (AutoGen), vector DBs
  - Cloud, Infra & Ops: AWS, Azure, Docker, Kubernetes, CI/CD (GitHub Actions), Netlify, Vercel
  - Frontend/Backend/Viz: Flask, Django, FastAPI, React, Next.js, Grafana
Portfolio: https://yury.tech

LinkedIn: https://www.linkedin.com/in/yzhuk/

Contact: yury [at] yury {dot} tech
teetertater
·9 माह पहले·discuss
SEEKING WORK | Vienna Austria, Worldwide Remote Services: AI R&D, Machine Learning Engineering, Data/Software Consulting, Fractional Tech Leadership

Hi, I’m Yury, an independent consultant and ex-CTO with 10+ years of experience delivering end-to-end AI projects on tight deadlines. I help companies plan, prototype, and productionalize machine learning systems, modern data pipelines, and enterprise-grade Agentic systems.

I bring 10+ years of experience shipping AI/ML projects in domains like:

  - Energy & Meteorology (wind-power generation forecasting, steel-plant energy modeling)  
  - Manufacturing & Logistics (rail freight optimization, demand forecasting)
  - SaaS & Data Platforms (Multi-agent systems, recommendation systems, real-time pipelines)
Tools/Tech:

  - Languages: Python, SQL, JavaScript (+ some Java/Scala) 
  - ML/AI: Computer vision, forecasting, transformers, NLP, Kalman/EMOS, production LLM agents
  - ML Engineering: Spark, Databricks, DuckDB, dbt/SQLMesh, Delta Lake/Iceberg, Airflow/Dagster, MS Agent Framework (AutoGen), LangGraph, n8n 
  - Cloud, Infra & Ops: AWS, Azure, Docker, Kubernetes, CI/CD (GitHub Actions), Netlify, Vercel
  - Frontend/Backend/Viz: Flask, Django, FastAPI, React, Next.js, Grafana
Portfolio: https://yury.tech

LinkedIn: https://www.linkedin.com/in/yzhuk/

Contact: yury [at] yury {dot} tech
teetertater
·11 माह पहले·discuss
SEEKING WORK | Vienna Austria, Worldwide Remote

Services: Data Science & AI R&D, Machine Learning Engineering, Data/Software Consulting, Fractional Tech Leadership

Hi, I’m Yury Zhuk, an independent consultant and ex-CTO with 10+ years of experience delivering end-to-end AI projects on tight deadlines. I help companies plan, prototype, and productionize machine learning systems, modern data pipelines, and LLM agents.

I bring 10+ years of experience shipping AI/ML projects in domains like:

  - Energy & Meteorology (wind-power generation forecasting, steel-plant energy modeling)  
  - Manufacturing & Logistics (rail freight optimization, demand forecasting)
  - SaaS & Data Platforms (recommendation systems, real-time pipelines, integrations, rapid MVPs)
Tools/Tech:

  - Languages: Python, SQL, JavaScript (+ some Java/Scala) 
  - ML/AI: Computer vision, forecasting, transformers, NLP, Kalman/EMOS, production LLM agents 
  - ML Engineering: Spark, Databricks, DuckDB, dbt/SQLMesh, Delta Lake/Iceberg, Airflow/Dagster, LangGraph, n8n 
  - Cloud, Infra & Ops: AWS, Azure, Docker, Kubernetes, CI/CD (GitHub Actions), Netlify, Vercel
  - Frontend/Backend/Viz: Flask, Django, FastAPI, React, Next.js, Grafana
Portfolio: https://yury.tech

LinkedIn: https://www.linkedin.com/in/yzhuk/

Contact: yury [at] yury {dot} tech
teetertater
·पिछला वर्ष·discuss
These are truly the best! And I've done a lot of research. Nowadays there are some smaller luxury brands that are closer with feature parity but not quite. The original Fossil team spun off to develop some kind of general watch platform, so I'm hopeful we'll see a remake by the time my fossil kicks out.