johannesboyne

Joined 14 years ago

Karma
198
Submissions
36
Member since
Sep 15
http://about.me/johannesboyne https://github.com/johannesboyne

Cloud & Web Entrepreneur,

[ my public key: https://keybase.io/johannesboyne; my proof: https://keybase.io/johannesboyne/sigs/1O8mEq5iREg8acVjjW7JSMRidkHgrYwk-RMY3quJVQg ]

meet.hn/city/de-Munich

Socials: - github.com/johannesboyne - x.com/johannesboyne - linkedin.com/in/johannesboyne

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Recent submissions

Comment · 7 months ago
DQC.ai | Senior Software Engineer | 65-95k€ + VSOP

https://dqc.ai/careers/senior-software-engineer-backend

We're building the AI-powered platform for enterprise data. Automatically analyse data quality, automatically fix and enhance data, and prevent bad data. Our platform automatically detects issues in master and transactional data, generates improvement suggestions using AI and human expertise, and prevents problems at the source — across systems like Snowflake, Databricks, SAP, and more.

*The problem we're solving*: Bad data costs businesses millions. Rules get written manually, issues get caught too late, and fixes are slow. We're replacing that with agentic AI that generates data quality rules, finds anomalies, and drives corrections (!) yes, it automatically fixes the broken data — with humans in the loop where it matters. Our customers across industrial goods, energy, automotive, and healthcare are already seeing real results.

*About us*: DQC is a Munich-based AI startup founded in 2022. We're a small (15 ppl), fast-moving team where engineers have real ownership and direct impact on product direction and technical architecture. Short decision paths, no bureaucracy, steep learning curves.

*The role*: As a Senior Backend Engineer, you'll own the full lifecycle of feature development — from architecture and design to production deployment. You'll work cross-functionally with backend, frontend, and product to ship features that thousands of users rely on. Our platform sits at the intersection of backend systems, modern data stacks, and LLM-driven workflows, so you'll be building at the frontier of what's possible with AI in production. We practice agentic coding daily and our tech interview includes a live agentic-coding exercise — we want engineers who embrace these tools with judgment, not hype.

If you want real ownership, direct product impact, and the chance to build at the intersection of backend engineering and AI — let's talk.

Comment · 1 year ago
A very similar "how to guide" can be found here https://ampcode.com/how-to-build-an-agent written by Thorsten Ball. In general Amp is quite interesting - obviously no hidden gem anymore ;-) but great to see more tooling around agentic coding being published. Also, because similar agentic-approaches will be part of (certain/many?) software suits in the future.
Comment · 2 years ago
The combination is truly key, how we do it:

- Combining LLMs, gradient boosting, and multiple statistical/heuristic based approaches - For LLMs: rely on (quite) large context length + fine-tuning - The (ML) models are used to extract mathematically provable quality checks

Comment · 2 years ago
reg. 1) Which one has been used?
Comment · 2 years ago
We (https://dqc.ai) are doing something in the space, yes. Next to a mixture of ML, and heuristic based approaches, plus link & integrations into source systems. Happy to talk about it, feel free to reach out.
Comment · 6 years ago
One super interesting startup in this sector: https://www.labtwin.com/ they completely automated lab reporting and made it voice-first
Comment · 6 years ago
Hehe... hi Lars, long time no "see" ;-) Yes, he is and I was also very happy to see the project getting mentioned here! I used it myself and was always impressed about it!
Comment · 7 years ago
Atfarm - https://at.farm - uses satellite data to provide precision fertilization maps for farmers across the globe. (Disclaimer: involvement in the setup)
Comment · 11 years ago
Comment · 11 years ago
+1 for simplicity
Comment · 11 years ago
And if it is faster than boot2docker with VirtualBox, great!

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