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

Examples of what I've built recently:

https://interviewcop.com

https://librecash.org

https://howllmworks.com

Email: roman.pushkin@gmail.com

I research how people actually use AI products — then make them better. Cognitive science background (MSc), 3+ years on B2B/SaaS at a major tech company. Led the discovery research that took an AI agent from "what if" to production. Ran seven evaluative studies for gen-AI features now serving 100K+ monthly users. Also did a stint as a business analyst in financial services and led an AI data annotation team at a health-tech startup.

Methods: interviews, usability/concept testing, surveys, JTBD, journey mapping, quant in R/Python. Thesis on cognitive biases in LLMs. Looking for a team that uses research to make decisions, not to validate them.

  Location: Seattle, WA
  Remote: Yes
  Willing to relocate: Yes (SF, NYC for the right role)
  Technologies: Go, Python, Kotlin, TypeScript | Cadence/Temporal, Kubernetes, Kafka, Postgres, Redis | GCP, AWS | LLM integrations, workflow orchestration
  Résumé/CV: https://elninja.com/resume
  LinkedIn: https://www.linkedin.com/in/elninja
  GitHub: https://github.com/ibarrajo
  Email: alex [at] elninja.com

Most recently at Uber as Developer Advocate for Cadence, an open-source workflow orchestration engine powering 12B+ workflows/month. Partnered with engineering teams across the org to drive adoption, debug production issues, and scale fault-tolerant pipelines — including integration with Uber's Michelangelo ML platform. Fine-tuned LLMs on internal corpora and built classification systems for developer support triage.

Since then I've been building: a self-orchestrating workflow engine with LLM-driven agents, AI-powered job automation pipelines, and a couple of side projects — El Minarete (https://elminarete.com), a Lotería card game generator, and Lomito (https://lomito.org), a civic platform for animal welfare in Mexico. Recently pitched Pursuit at the Venture Mechanics' AI Scalathon — an agent-to-agent recruiting platform where AI interviews AI to match candidates to roles.

Previously: Kotlin microservices migration and refund rules engine at DoorDash. NLP resume-matching pipelines at Jobscan. Founded a healthtech startup (CTO).

Interested in: infrastructure, developer tooling, workflow orchestration, applied ML/AI — especially in healthcare, logistics, finance, or defense. I want to build systems that matter with people who care about craft.

Remote: Yes

Willing to relocate: No

Technologies: TypeScript, React, Ruby, Python, PostgreSQL, AWS, Kafka

Resume: Available on request

Email: cmhernandezdev@gmail.com

Hi! I'm a software engineer with 3+ years of experience in full-stack development including data pipelines, cloud infrastructure, and applied AI. I recently created Tumbleweed (https://tumbleweed-cdc.github.io/), a framework that uses Change Data Capture for keeping data in sync across distributed services.

Remote: Yes (preferred)

Willing to relocate: Depends

Technologies: TypeScript, Node.js, React, GraphQL, Python, Kubernetes, Helm, ArgoCD, Docker, Terraform, AWS (EKS, S3), GitLab CI, OpenTelemetry, Datadog, PostgreSQL/PostGIS

Résumé/CV: https://misera.org/cv

Email: thomas[@]misera.org

Full-stack engineer turned engineering leader, 13+ years building and scaling web platforms. Most recently modernized a biodiversity monitoring platform at Helmholtz (UFZ) — consolidated scattered repos into a monorepo, built the entire CI/CD pipeline, designed Helm umbrella charts, and deployed observability from zero. Before that, led backend and frontend teams (7 engineers) at a location-based mobile startup — designed the GraphQL architecture from scratch, single-handedly executed the AWS EKS migration, and built the push notification system. Equally comfortable writing resolvers and writing Helm charts. TypeScript and Kubernetes are home turf. Fluent in German and English.