HackerTrans
TopNewTrendsCommentsPastAskShowJobs

lorenzo1860

no profile record

comments

lorenzo1860
·5 miesięcy temu·discuss
Do you have some insight we don't have?

I mean yes, there are really good systems, but the heavy, long tail is still not solved.
lorenzo1860
·6 miesięcy temu·discuss
Haha this made me laugth... Although I really liked the post, I agree!
lorenzo1860
·6 miesięcy temu·discuss
really agree! That is really beneficial for building intuition and getting some inspiration
lorenzo1860
·6 miesięcy temu·discuss
would you recommend "Why Machines Learn: The Elegant Math Behind Modern AI" to someone with more knowledge? what's the level of the book? for beginners or intermediates?
lorenzo1860
·6 miesięcy temu·discuss


  Location: Munich, Germany
  Remote: yes
  Willing to relocate: yes (preferred)
  Technologies: Python, PyTorch, C/C++, Java, Deep Learning, Computer Vision, Transformers, LSTMs/CNNs, Reinforcement Learning, Docker, AWS, NixOS, LangChain, Spring Boot
  Résumé/CV: https://github.com/cesipy/cv-public/blob/main/cv_public.pdf
  Email: cesispam0815 (at) gmail (dot) com
  website: https://cesipy.github.io/

Recent CS graduate (Dec 2025) currently engineering data augmentation and transformation frameworks for autonomous driving at BMW Group. Bachelor thesis on layer-wise alignment in multimodal transformers (ViLBERT). Practical experience includes building a RAG-based legal research assistant , end-to-end crypto market analysis with autoencoders/LSTMs , and a custom Deep Q-Learning Tetris AI from scratch (C/Python). Strong DevOps foundation with reproducible infrastructure (NixOS) and high-scale monitoring systems. Passionate about deep learning theory and robust engineering.

Looking for ML Engineer, AI Research, DevOps, or Software Engineer roles with ML focus. Particularly interested in transitioning toward MLOps
lorenzo1860
·11 miesięcy temu·discuss
Location: Innsbruck, Austria

Remote: Yes

Willing to relocate: Yes (EU, UK, Switzerland, Norway)

Technologies: Python, PyTorch, C/C++, Java, Deep Learning, Computer Vision, Transformers, LSTMs/CNNs, Reinforcement Learning, Docker, AWS, NixOS, LangChain, Spring Boot

Résumé/CV: https://github.com/cesipy/cv

Email: cesispam0815 (at) gmail (dot) com

github: https://github.com/cesipy/

Recent CS graduate (Sept 2025) with strong ML/AI background and practical experience. Bachelor thesis on alignment in multimodal transformers with dual-stream architecture (ViLBERT). Built legal research assistant with LLMs, cryptocurrency market analysis with autoencoders/LSTMs, distributed computer vision systems, and Deep Q-Learning Tetris AI from scratch. DevOps experience with infrastructure-as-code and monitoring systems. Passionate about deep learning theory and practical implementations.

Looking for ML Engineer, AI Research, DevOps, or Software Engineer roles with ML focus. Particularly interested in transitioning toward MLOps.