Ask HN: Who wants to be hired? (March 2026)

Location: Vancouver, Canada Remote: Yes Willing to relocate: No

Technologies: HTMX, Datastar, Tailwind, Vue, React, Node, Bun, PHP, Laravel, Drupal, Wordpress, C, Zig, Odin, MongoDB, MySQL, Postgres, Sqlite, AWS, GCP, Azure and more

Resume/CV: spirofloropoulos(dot)com

Email: spiro(at)spirofloropoulos(dot)com

Recently built a pure C http server, by hand, with an online game bundled into it, in C, by hand, served on a website as a modern spin on MUD (multi-user dungeons). Also, recently built a vanilla (no 3rd party libs no AI) html/css/js with css3d card game - https://spirofloropoulos.com/css3dtabletop

Full-stack web, software and game developer, specializing in high-performance, minimal-dependency solutions. Available as an individual contributor, lead developer, or consultant. I excel at simple, efficient code and pushing web technologies to their limits. Can mentor teams or bring expertise to complex projects.

Proven track record of building multi-million dollar websites from scratch to production.

Stellar references.

Also experienced in technical streaming (online content), community engagement, and mentoring developers on modern dev practices.

Location: Poland (US timezones OK):

  Remote: Yes, ok with in-office meetings, can travel to clients too

  Willing to relocate: Yes for selected offers

  Technologies: 
   * Go, Java, C#
   * PHP, Laravel
   * Python, Django, FastAPI, Flask
   * React, React Native, Next.js, MERN, Firebase
   * Kubernetes/Helm, AWS, GC, Azure, Terraform, Proxmox, esxi
   * PyTorch, Apache Spark, Apache Airflow, Kafka, Apache Aerospike, Apache Flink, MQTT
   * Postgres, MongoDB, Redis/Dragonfly, Cassandra
   * CephFS, GlusterFS, ZFS, scaling and geo-distributing filesystems, LTO/LTFS
   * LLM Integrations: Claude, OpenAI, Gemini, Mistral, DeepSeek, routers
   * LLM fine-tuning, RAG/CAG, LoRA, MCP, Agentic workflows, GenAI, deep integrations
   * Scaling, Clustering, Optimizing heavy throughput systems

  Résumé/CV: https://michallech.info/static/Michal-Lech-Resume.pdf

  Email: michal@michallech.info

Well rounded Full Stack Engineer/Architect (and a former CTO) who thrives in high pressure startup environments, mentor, geek and a ML/LLM researcher.

Do you have a vibe coded MVP/Prototype? I can help get it production ready!

Location: Canada/US Remote: Open to it

Willing to relocate: Open to it

Technologies: React/Next.js/Ruby/Ruby on Rails/Tailwind/Typescript/Python/Django/etc

Résumé/CV: https://docs.google.com/document/d/1ZuUttzrImLuoBmBcJL_tu0rP...

Email: actual.edward@gmail.com

My name is Edward. I'm an individual with close to a decade of experience shipping impactful software and leading teams

LinkedIn: https://www.linkedin.com/in/edward-c-040270111/

Quick bullet points:

- Significant experience with working across the stack

- Cooperative engineer with a focus on velocity and revenue

- Wears many hats

Location: Charleston, South Carolina.

Remote: Preferred.

Technologies: AWS, EKS, GitHub Actions, crossplane, Terraform, Azure DevOps, EC2.

Resume/CV: linkedin.com/in/lsdir

Email: elliotechne42@gmail.com

GitHub: https://github.com/elliotechne

SEEKING WORK - remote, email in profile.

Location: West coast Canada, remote only.

Techniques: Agentic & Trajectory development, Machine learning/AI, LLM's/RAG, Transformers, GenAI, MCMC, MCTS, Bayesnets, Neural architecture search.

Languages: Python, Postgres, Spark, Bash, Mathematica, Others.

Frameworks: PyData (Pandas, NumPy, scikit-learn), PyTorch, TensorFlow/Keras, PySpark, LangChain, XGBoost, LightGBM, Others.

Tools: AWS, Spark, Gurobi/highs/ortools, Kubernetes, Docker, Linux, Git, Tableau/databricks

I'm a data scientist who has worked with the likes of Porsche and Mulesoft, I'm looking for the next thing.

Some past work:

  - In the wild part failure prediction for automotive parts.
  - Server fleet failure prediction for Mulesoft. Giving a warning to do load shedding.
  - Real-time Vehicle routing, Get a couch from where you are, to where you want it to be.
  - Taxi fleet maintenance optimization and failure prediction for a latam taxi company. Saved entire cars. 
  - Automated sports highlights - Feed in video, get nicely cut highlights of diving catches, touchdowns, etc.
  - Wound identification and mangement - Identify what sort of wound, label and categorize the tissue.
  - Account grading and revenue optimization for ARM. 
  - Maritime anti-piracy - Identifying pirate skiffs, at risk vessels, and routing them aroound danger.

Who should contact me: small/medium company with a hair on fire problem that needs solving.