Ask HN: Who wants to be hired? (January 2023)

INTERNSHIP!

    Location: Bay Area, Texas, anywhere in the United States, or anywhere globally
    Remote: Yes, but happy with in-person too
    Willing to relocate: Yes
    Technologies: Machine Learning, DevOps, and MLOps. Strong background in Deep Learning, Linux system administration, and cloud-native infrastructure.
    Resume: https://tiny.cc/upt2vz
    GitHub: https://github.com/arjvik
    Email:   stanford.edu

Hi! I'm a current student at Stanford, looking for a Summer Internship that I'd love to consider extending past the end of summer! I've worked on tons of ML projects, including with a histopathology research lab applying computer vision models to microscope slides of biopsies, as well as with an MLOps startup reproducing CV papers and setting up tooling around deployment and reproducibility. I shine in DevOps--I run a full homelab off of a single Raspberry Pi, with every service containerized and automatically provisioned using proper Infrastructure-as-Code.

As an intern, you can grant me the significantly lower compensation typically given to undergraduate interns, while still getting the output of a full-time graduated developer. I have the experience matching many full-time developers, and my professors and mentors can back that up.

Please don't hesitate to reach out to me even if you are unsure if your company would be a good fit for me!

  Location: Brazil
  Remote: Yes, or Hybrid or Office
  Willing to relocate: Yes
  Technologies: Data Science, Machine Learning (ML), Deep Learning (DL), Computer Vision (CV). Geospational data and IoT sensors (weather and environmental), satellite images, gridded/array data and time-series
  Résumé/CV: https://www.linkedin.com/in/ilirium/
  Email: [kalimulin.jbs] located in the [gmail.com] service

Result-oriented Data Scientist with PhD and broad experience with machine/deep learning (ML & DL) and data science in fields of computer vision, geospatial & climate data (4+ years), and as a Research Fellow in Microwave CAD/EDA (7 years). Solid software engineering skills and mindset. I use satellite images, radar data, and time-series structured data in my work projects.

Key results related to hard skills:

– Create, train and tune CNN/RNN models (classification and segmentation tasks)

– Statistical processing and data analytics of times series from IoT sensors and satellite images

– Remote sensing and computer vision: georeferencing, warping, image filtering and processing, object recognition, interpolation

– Benchmarking and speed up: async, threads, multiprocessing, multidimensional array algorithms with Numpy

– Developed backends for data analyzing services and prediction API in Python and Golang

– Dashboard for comparing data sources by different statistic metrics

– Deployed services to production and staging with Docker Compose, GitLab CI/CD and Bash

Key results related to soft skills:

– Wide experience of remote work, also before the lockdown

– Defended a Ph.D. degree on time

– Presented research results on scientific conferences (more than 20)

– Retrained myself from a research fellow in the CAD/EDA industry to the data scientist in IT

Main tech stack: Python and Golang, Numpy, Pandas, SciPy, Scikit-learn, PyTorch, OpenCV, Pillow, Git, Bash, Jupyter, PyCharm, Docker, GDAL, PROJ, QGIS, GeoTIFF, HDF5.

Location: Dillsburg, PA, USA / Bucharest, Romania

Remote: Yes

Willing to relocate: Yes, almost anywhere

Technologies: C++, C, Python, JUCE, SQL, Linux

Résumé/CV: http://cloudintheheads.com/CV-CharlesHubbard-2023.pdf

Email: ("chuckk.hubbard%cgmail.com", '@')

I've worked in many domains, including arts, and I'm especially interested in audio-related work, but I have a deep love for any kind of programming. I look forward to proving it.

I'm a USA citizen, residence permit in EU.

Native English speaker, also C1 in Romanian, B1 in German.

    Location: London, UK
    Remote: Yes, happy with hybrid too
    Willing to relocate: No
    Technologies: Python (Twisted, Flask-like, Django), PostgreSQL, Go, Rust (basics), designing (incl spec work) and implementing decentralised HTTP+JSON REST APIs (e.g. Matrix), Git, Docker, CoAP, CI/CD, TDD, JavaScript, Salt, Ansible, Grafana, Logstash, Graylog, Warp10
    Résumé/CV: https://brendan.abolivier.bzh/cv.pdf
    Email: hello at brendanabolivier.com

Available for a full time Senior Software Engineer role. Would ideally prefer to work on impactful projects with an ethical and/or community aspect.