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

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251–260 of 518 posts

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

#252
Hello,

I'd love to introduce myself. I'm Jay! I bring in about 8+ years of loving Python with a startup mindset focusing on different domains. I like the grind with a great team building things that would make us proud!

I have prepped up systems of 50 machines and driven uptime metrics to 99.9% across loads of 3k/sec data intensive API calls on globally available services. There’s some depth of thought to achieving this. I've worked with research-driven teams and bring in a research based thought process to solving scaling/operations.

I'm great at scrum calls, helping drive team clarity on tasks, learning new things on the go, building with people, and solving problems with all hands on deck driving focusing on key aspects.

I enjoy being explicit in code/context/communication!

Location: Travelling in India Remote: Yes Willing to relocate: post 3 months

Technologies:

  - Backend: Python, Django, FASTAPI, Flask, Node.js

  - Frontend: HTML, CSS, JavaScript, d3.js, highcharts.js, GraphViz

  - DB: PostgreSQL, MySQL, Mongo, GraphQL, KairosDB 

  - GIS: Geoserver, Tilecache, PostGIS, OpenLayers, Stamen Maps, leaflet.js

  - Caches: RabbitMQ, Memcached, Redis

  - Workflow/Misc: JIRA, Git, Gitlab, Prometheus, Grafana

  - Deployments: Docker, Kubernetes, AWS, GCP, Ubuntu, Debian, RHEL

  Résumé/CV: https://docs.google.com/document/d/1NZKN7INI7y6_JDI9Gg_cpa05uBGSfrMVrBEZiEy9rSA/edit?usp=sharing

  Email: jay@dzenden.com

  GitHub:  https://github.com/johnsonc
LinkedIn: https://www.linkedin.com/in/johnson-chetty-3b59b717/

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

#253
Location: US

Remote: Depends, prefer in person

Willing to relocate: Yes

Technologies: Python, C/++, UI/UX, mechanical engineering, electrical engineering, computer vision, rapid prototyping

Resume/CV: https://www.linkedin.com/in/pwsp/

Email: On resume

I'm a mechanical engineering student graduating in about 6 months starting the search for post-grad opportunities. I have technical and leadership experience from student engineering teams as well as three internships in different fields (aero eng, material science, software).

I'd love a generalist role where I can make use of my broad skillset by doing a couple of (mechanical, electrical, software). Would also be open to software-only; I've found from my current software engineering internship at NASA that my reasoning developed in other areas translates well to software.

I'm especially interested in biotech, ML (who isn't), early-stage startups where I could make a large impact, and anywhere that's really, truly trying to change the world for the better in some big nigh-impossible way.

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

#254
Location: San Francisco, CA

Remote: Yes

Willing to relocate: No

Technologies: design, browser-oriented code, GIFs

Résumé/CV: https://drive.google.com/file/d/1ho5lIt8UubFM8HELmqb0I6Ub-Ut...

Email: linked from portfolio (https://rockinghelvetica.com)

I’m a designer with a couple of decades’ worth of practice across the entire space of creating & nurturing digital products. I like fuzzy problems. Pretty good at naming things.

Remote is viable. For initial teams and cofounder-shaped opportunities, I’d prefer to work in-person in SF.

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

#256
Location: Montreal

Remote: Yes

Willing to relocate: No

Technologies: Python, FastAPI, Redis, Redshift, Postgres, MySQL, Clickhouse, Datadog, Sentry, Django, Pydantic, AWS, Docker, Nginx, Kafka, SQS, CockroachDB, Rust

Résumé/CV: https://ca.linkedin.com/in/iaboro/en

Email: ivan.barrera.oro gmail.com

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

#260
Location: Austin, TX

Remote: yes

willing to relocate: yes

Technologies: Python, Javascript/Typescript, HTML, CSS, Java Spring Boot, SQL

Resume: https://www.linkedin.com/in/sarim-aleem/

Email: sarim.aleem@utexas.edu

I'll be graduating with a Bachelor of Science in Computer Science from the University of Texas at Austin. I love thinking about computer science problems at scale. At my previous internship at Adobe, I designed, documented, and deployed an end-to-end pipeline to easily train and and run inference on thousands of generative fine-tune models.

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