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

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

#242

Post by tomxmp »

Location: Lisbon, Portugal (GMT+0)

Remote: Yes

Willing to relocate: No

Technologies: Typescript, React, Next.js, TanStack Start, PostgreSQL, pgvector, Redis, Docker, Drizzle ORM, Zod, Zustand, TanStack Query, Tailwind CSS, Plasmo, Vite, Astro, Expo, AI SDK, Python, TensorFlow, scikit-learn, Pandas, AI SDK, Deck.gl, AWS, GCP

Résumé/CV: https://tomasmenezes.com/cv

Email: tomas.alexmp+yc@gmail.com

More info: https://tomasmenezes.com

I founded a real estate development+proptech company, exited an 8-figure gdv residential project and recently sold a decision-support saas for new-development underwriting.

Before that, I did ML research (session-based recsys, re-reranking, model selection optimization), product management at an early-stage vc, and built other end-to-end full-stack AI products that helped real estate brokerages and developers automate more than 150 hours per month in manual research and analysis workflows, increasing their project output by more then 50%.

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

#244

Post by sspangs »

Location: Baltimore, MD

Remote: Yes

Willing to relocate: Not at this time

Technologies: Elixir, Phoenix, GraphQL, JavaScript, Node.js, PostgreSQL, MySQL, GCP, AWS, Kubernetes, Docker, Kafka

Résumé/CV: Available on request

Email: sara.spangler.dev@gmail.com

Backend engineer with experience leading teams, primarily working in Elixir/Phoenix but comfortable across the stack with GraphQL APIs, Node.js, React, Postgres/MySQL, and cloud infra on GCP/AWS with Kubernetes and Docker. Passionate about 0-to-1 work and product-driven development where engineering decisions are tied to real user outcomes.

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

#245

Post by mixmastamyk »

Location: Southern California / Pacific Time

Remote: Ok

Willing to relocate: Yes, w/ expenses

Technologies:

    Expert:
        Python, PostgreSQL, Linux
        Django

    Near:
        HTML, CSS, JavaScript
        Flask, FastAPI
        HTTP, Sockets
        Rust, Java
        Containers
        Hardware

    Familiar:
        Electronics
        C, C++
        Windows, macOS
        Just took a Machine Learning (ML) class.

    Interests / Experience:
        Software Development
        Data Engineering
        Distributed Computing
        Graphics / data pipelines
        Vfx, Aerospace
        Project Management
        Training / Mentoring
        DevOps, SysAd, QA
        and more.
Résumé/CV:

    https://www.dropbox.com/scl/fi/hxygjtb1vrwuwnznzn2vd/mgm_resume25pw.pdf?rlkey=kv6e5gljiz3p8jym9ztgirc1a&st=6p05kj9g&dl=1
    Password: "resume_2025" (no quotes)
Email: See resume.

Seasoned full-stack developer here—focused on solving problems:

▸ Recently finished a multi-year modernization of the backend platform for congress.gov, specifically their substantial ETL (Extract, Transform, Load) data pipeline.

▸ Worked at a number of Internet-facing companies during high-growth periods. Can do it all.

▸ Have extensive experience designing, developing, and maintaining distributed graphics production pipelines for visual effects companies, under harsh deadlines.

▸ Have trained and mentored developers, tech-folk, and end-users as well.

▸ Love building reliable, well-documented, and maintainable systems.

Let’s crush your issues! Cheers,

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

#246

Post by fmstephe » 

    Location: New Zealand, Manawatu
    Remote: Yes
    Willing to relocate: No
    Technologies: Go, Java, C#, Git, Erlang, Postgres, Linux
    Resume: https://www.linkedin.com/in/francis-stephens/
    Email: francisstephens@gmail.com
I work primarily on backend systems, with a strong focus on performance and system stability/resilience. I worked as a performance engineer at the mobile add-attribution company Adjust. Some interesting open-source projects include https://github.com/fmstephe/memorymanager An exploratory manual memory allocator for building large in-memory data structures with near zero GC cost.

https://github.com/fmstephe/matching_engine A financial trading matching engine with a somewhat novel red+black tree implementation.

https://github.com/fmstephe/flib A set of packages primarily in support of a lock-free single-producer single-consumer queue.

My ideal position would be working on backend systems primarily in Go.

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

#248

Post by gabrda »

Location: Washington, D.C.

Remote: Ok

Willing to relocate: Yes

Technologies: Python, Java, TypeScript/JavaScript, SQL, React, Node.js, WebSockets, Azure, Databricks, Docker, Linux; some Haskell, OCaml, and Dafny

Résumé/CV: https://www.gabrieldabbah.com

Email: See website

New-grad CS student at UMD -- Looking for junior SWE roles

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

#249

Post by peacebeard »

gabrda wrote: post #248

Location: Washington, D.C. Remote: Ok Willing to relocate: Yes Technologies: Python, Java, TypeScript/JavaScript, SQL, React, Node.js, WebSockets, Azure, Databricks, Docker, Linux; some Haskell, OCaml, and Dafny Résumé/CV: https://www.gabrieldabbah.com Email: See website New-grad CS student at UMD -- Looking for junior SWE roles

Just a heads up, getting a 522 error on your site

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

#250

Post by ineedasername »

Location: NJ / NYC (hybrid or remote preferred)

Remote: Yes

Willing to relocate: No

What I’ve been working on lately:

LLM introspection tooling and observability, mainly around token-level behavior during inference; Also experimented with inference-time interventions (no retraining) e.g. improved DeBERTa on HANS via targeted layer/head adjustments.

I just put up a small demo of part of the tooling (HF Space):

https://huggingface.co/spaces/anotheruserishere/Cartogemma

It exposes:

-per-head projections into token space (logit lens-style)

-token rank changes across layers for target-tokens ("rank displacement")

-top-k next-token branches with internal state views

-mute a head at a given L x H coordinate

-inject tokens or rewind context

There's a minimal example in the UI showing how token candidates stabilize (or don’t) across layers

Background: ~15 years in data science/ analytics (higher ed), mostly translating technical work into decisions & policy for leadership. More recently focused on LLM internals + tooling (Python/Rust, local model stacks, etc.) and agentic analytical tools for operational use. Background in philosophy / applied linguistics & NLP; previously designed and taught a course on propaganda (how language shapes reactions to media etc.).

Looking for: roles around LLM tooling, evals, interpretability, or applied AI where understanding model behavior is useful.

Tech: Python, Rust, SQL, embeddings, local LLM infra

Contact: jim.jdiv@gmail.com

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