teetertater

Wow, thanks. Crazy

Sounds interesting, source?

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

  - 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

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

Contact: yury [at] yury {dot} tech

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)

  - 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

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

Contact: yury [at] yury {dot} tech

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)

  - 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

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

Contact: yury [at] yury {dot} tech

Yes, spark is too complicated for most cases;

But if you're inclined to use it, databricks' setup of spark just saves you an incredible amount of time that you'd normally waste on configuration and wiring infrastructure (storage, compute, pipelines, unified access, VPNs etc). It's expensive and opinionated, but the data engineers you need to deal with spark OOM errors constantly is greater. Also databricks' default configs give you MUCH better performance out of the box than anything DIY and you don't have to fiddle with partitions and super niche config options to get even medium workloads stable

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.

Hi, I've looked into it, I received a lot of mail today -- could it be the spelling?

Sent you an email.

Balun Energy // Vienna, Austria On-Site // Senior Data Engineer and Senior MLOps Engineer // Full-Time 65-80k Euro + equity We develop forecasting algorithms for wind and solar power production. Looking for passionate, driven, versatile people. Make a tangible impact towards sustainable energy.

* Small, ambitious, technical team (6 ppl)

* Shape the future of our startup: own, architect, and implement

* Help us solve tough problems in data. E.g. how to reconcile many data sources and create an efficient MLOps architecture?

Must be in or willing to relocate to Vienna, Austria. Visa Sponsorships available

Tech Stack: Python, Spark, Databricks, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (name in HN profile)@balun.energy to apply.

When I first moved to vienna, I also decided to check out Cafe Central. I ordered a tea (cost 5€). A teapot arrived, with a teabag on the side that I was supposed to brew myself. But the water was lukewarm, not nearly hot enough for tea. I complained to the waiter (dressed in something like a tuxedo). He dipped his finger in my teapot!! Then begrudgingly brought me new water lol.

Balun Energy // Vienna, Austria On-Site // Senior Data Engineer and Senior MLOps Engineer // Full-Time 65-85k Euro + equity

We develop forecasting algorithms for wind and solar power production. Looking for passionate, driven, versatile people. Make a tangible impact towards sustainable energy.

* Small, ambitious, technical team (6 ppl)

* Shape the future of our startup: own, architect, and implement

* Help us solve tough problems in data. E.g. how to reconcile many data sources and create an efficient MLOps architecture?

Must be authorized to work in EU and willing to relocate to Austria. Visa Sponsorships available

Tech Stack: Python, Spark, Databricks, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (name in HN profile)@balun.energy to apply.

You're probably joking but I'm sure this would make a killing

A substantial contributor to that heat is asphalt and concrete though (absorbs heat and releases it at night). And to make it worse there's no tree cover. Winter is also more manageable if you don't have to wait 20 mins for a bus in an uncleared snowbank just because non-car mobility is second-class

Curious if people use streamlit for big data production visualizations?

We're considering it but not sure how it scales when gigabytes of data are involved

The archive link includes the paywall lol

While publishing the data, he also published part of his home folder (containing his personal files). Although he cancelled the torrent before anyone could download the full version, the partial torrent could still have data extracted

https://krebsonsecurity.com/2023/11/alleged-extortioner-of-p...

Gobricks are very high quality generics, mould king and cada have good technic sets and electronics

Balun Energy // Vienna, Austria On-Site // Cloud MLOps / DevOps Engineer // Full-Time 63-82k Euro + equity

We are a young startup developing forecasting algorithms for wind and solar power production. We’re applying bleeding-edge ML to reduce costs for green energy producers. Make a tangible impact towards sustainable energy.

* Small, ambitious, tech-driven team

* Shape the future of our company, own, architect, and implement our infra

We particularly encourage women and candidates from under-represented backgrounds to apply

Must be authorized to work in EU and willing to relocate to Austria.

Tech Stack: Python, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (my first name)@balun.energy. My name is in my HN profile.

Phileas Energy | Vienna / Austria On-Site | Principal / Senior Data Scientist | Full-Time 45-90k Euro | employee stock options

We are a young startup developing forecasting algorithms for wind and solar power production. We’re applying bleeding-edge ML to reduce costs for green energy producers. You have the opportunity to make a tangible impact towards sustainable energy!

* Be the third in our small, ambitious, tech-driven team

* Shape the future of our company and grow with us together

* If you consider yourself a junior data scientist, but are experienced with meteorology modelling, please still apply

We particularly encourage women and candidates from under-represented backgrounds to apply

Must be authorized to work in EU and willing to relocate to Austria.

Tech: Python, PyTorch, AWS, Time Series Forecasting, Meteorology

Send an email to (my first name)@phileas.energy. My name is in my HN profile.

Shoot me an email (in bio), I'm part of a green energy AI project and we're looking for academic collab (mostly in DACH region)

Completely hearsay at this point, but a telegram channel linked above is saying that wagner has a contingency plan that will be "activated" following confirmation of prigozhyn and other leader's death. Maybe another move towards Rostov. Again, hearsay, but last time it was pretty spot on

Came to the exact same conclusion. Who is this person and where are their sources?

Link to the artwork for the curious

https://archive.org/details/behind-closed-doors-sponge-bob

Not a dumb question at all imo, it’s missing from the info. At the very least sent to OpenAI which is affiliated with YC

The article says they weren't allowed to accept tips

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And how'd it go? :)

Receiving SEPA is not instant however, it usually takes 24 hrs or longer in case of weekends.

When I lived in Canada I really took e-transfer for granted and was surprised to learn it's not a thing in other places.

Claude has a free slack client that I briefly was able to access by creating a new slack workspace and adding it there. But as of yesterday it wasn't working for me

The only plugin I found useful was the diagramming one, forgot what it's called. But you can quickly make code (or other) flowcharts etc. And browsing in rare cases.