Ask HN: Who wants to be hired? (December 2025)

Remote: Yes (preferred) or Hybrid

Willing to relocate: case-by-case

Résumé/CV: https://andrewssobral.pages.dev

GitHub Profile: https://github.com/andrewssobral

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

Email: andrewssobral@gmail.com

Summary:

AI Architect & Researcher with 20+ years in software engineering and 10+ years specializing in AI, ML, and Computer Vision. Former Head of AI at ActiveEon, with a Ph.D. focused on Computer Vision and Machine Learning. Expert in scalable AI systems, MLOps, distributed computing, and fine-tuning of large language and vision models. Passionate about building practical, production-ready AI solutions that bridge research and deployment. Open to roles involving AI architecture, applied research, or leadership in AI strategy and innovation — either full-time or consulting.

Technologies:

Python, C/C++, PyTorch, OpenCV, scikit-learn, CUDA, FastAPI, Docker, Kubernetes, MLflow, Hugging Face, REST APIs, Cloud (AWS, Azure, GCP), MLOps, CI/CD, Generative AI, LLMs, HPC (Slurm), Distributed Systems, Dask, Ray

*Remote:* Yes (preferred)

*Willing to relocate:* UK/EU considered for the right role

*Resume:* josh-gree.github.io/cv

*Email:* joshuadouglasgreenhalgh@gmail.com

*Technologies:* Python, SQL, R; Airflow, Prefect, Dagster; Kafka; Docker/Kubernetes; Terraform; GCP/AWS; Postgres, PostGIS, Snowflake, Redshift; Zarr/Parquet; ML/Deep Learning; HPC; React/Flask.

*Summary:* Senior Software/Data Engineer with a strong mathematical and computational modelling background. I build high-reliability data systems, complex ETL/ELT pipelines, and ML-ready data platforms—especially where datasets are large, irregular, hierarchical, or scientifically complex.

Most recently, I’ve been designing and operating large-scale data infrastructure for high-dimensional biological datasets (100k+ samples), unifying heterogeneous storage formats into lineage-aware catalogues, creating ontologies for hierarchical labels, building QC pipelines in Dagster, developing synthetic single-cell data generators, and working closely with domain scientists to formalise and scale experimental and computational workflows.

Previously: large-scale mobile-network analytics for humanitarian agencies; climate/energy data engineering; ad-tech pipelines; and HPC-driven modelling from computational research.

I’m looking for roles where difficult data problems, scientific or ML-adjacent pipelines, or complex modelling workflows need to be made robust, reproducible, and scalable. Prefer small teams, high ownership, and work with real impact.

*What I offer:* – Architecture & implementation of reliable data/ML platforms

– Workflow orchestration, data governance, and reproducibility

– Scientific/ML pipeline design (Bayesian modelling, synthetic data, QC/validation)

– Cloud infra/IaC and cost-efficient storage design

– Ability to collaborate deeply with domain experts and formalise messy processes

Interests : systems programming, 2D & 3D graphics, performance

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Hello, my name is Jesse.

I describe myself as a competent generalist, and a lifelong learner. I'm frequently working on something I've never done before. I've worked at every level of the stack, from cycle-shaving hot loops that saturate instruction pipelines to the frontend of large web applications. My most recent professional experience has been about a year at a semiconductor startup; I wrote prototypes for an ISA, compiler, a cycle simulator and visual debugger.

In terms of hard technical skills, I can quickly become productive in nearly any language, and at any level of the stack. I'm comfortable working in heavily multithreaded/async soft-realtime environments where performance is a key acceptance criteria. I have a good understanding of modern hardware architectures, including GPUs, from main memory to registers and instruction pipelines. I have working knowledge of interpreters, dynamic language runtimes and garbage collectors. I'm convinced I can learn nearly anything (albeit some things more quickly than others), given an appropriate problem domain to apply it to.

In terms of business value, I can take hand-wavy visions of new products and turn them into working prototype(s), quickly. I'm comfortable refining those raw materials and delivering real value to customers, internal or external. I have a track record of successfully identifying 80/20 solutions and love the feeling of making tools that make peoples lives better.

In my personal life, I enjoy travelling, surfing, climbing, backcountry skiing, snowmobiling, pirates, and attending raves. I like the phrase "have strong opinions, weakly held".

If I was born to do one thing in this world, it's program computers.

Jesse

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https://scallywag.software

https://scallywag.software/resume.html

https://github.com/scallyw4g

jesse@scallywag.software

Remote: Yes

Willing to relocate: No

Technologies: JavaScript, Golang, Python, PHP, Web Application development and (cloud) infrastructure

Résumé/CV: https://www.frederikring.com/experience/

Email: frederik.ring [at] posteo.de

I help individuals and small teams move fast by taking ownership of ambiguous, complex or unpredictable projects.