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

Remote: Yes (open to hybrid or in-person)

Willing to relocate: Yes (preferred Bay Area, NYC, Austin, and Boston)

Visa: F-1 OPT, 3 years of US work authorization (STEM OPT eligible)

Technologies: Python, PyTorch, Hugging Face, LLMs, RAG, Qdrant, Hybrid Retrieval (BM25 + dense), Cross-Encoder Reranking, PEFT/LoRA, LangGraph, NLP, Computer Vision, PySpark, Vertex AI, AWS, GCP, Docker, Kubernetes, W&B, Airflow, SQL, C++

Resume/CV: https://kubershahi.github.io

Email: kshahi@ucsd.edu

ML Engineer / AI Engineer with 2+ years of industry experience across ML systems, NLP, and large-scale data pipelines. Currently a Graduate Student Researcher at UCSD's BIAG Lab, where I built an end-to-end PyTorch/CUDA pipeline for registration-error regression, training a 3D U-Net that hit Pearson r = 0.874 on 147 held-out volumes. Previously built production Vertex AI training pipelines cutting experiment turnaround by 20% (Melio), and distributed PySpark ETL processing 5M+ invoices/year plus graph analytics driving 15% revenue growth (Vayana Network). MS CS (AI) at UC San Diego, GPA 4.0. Recent projects include a dual-corpus RAG pipeline for earnings-call contradiction detection with hybrid retrieval and reranking (CrossCheck), an LLM agent evaluation study under adversarial/deceptive conditions across 4 architectures, and low-resource English-Maithili NMT with LoRA fine-tuning. Open to MLE, AI Engineer, Applied Scientist and Research Engineer roles.

Technologies: Elixir, Phoenix, LiveView, OTP/GenServer, TypeScript, React, Next.js, Clojure, PostgreSQL, Ecto, Docker, AWS, CI/CD

Résumé/CV: See Github projects. PDF available on-request.

LinkedIn: https://www.linkedin.com/in/caleb-b-a3301a221

Email: beerscb@gmail.com

GitHub: github.com/caleb-bb

Availability: immediate — open to contract or full-time

Senior Elixir engineer shipping solo and fast. Built BEAM-concurrency tooling for SOC analysts at a managed detection-and-response shop, and full PETAL-stack apps (Phoenix/LiveView, Figma-to-deploy) as sole developer across several contracts. Currently building production Next.js/TypeScript apps for agency clients.

Independent work: CAKE, an open-source (AGPL-3.0) RAG framework built on Elixir/OTP. CAKE is to RAG frameworks as a game engine is to games; demo'd for a water purification firm with go-ahead from their director of engineering. Also wrote Periscope, an open-source LiveView plugin. Comfortable across the full stack and into DevOps; AWS Cloud Practitioner certified.

Look at the CAKE repo to see how I work: https://github.com/Thoth-Software/cake/

Notice the push gates using Credo, the merge gate with dialyzer, the automatic checks, and how I structured the CLAUDE.md to prevent the agent from generating slop. Disciplined use of agentic coding is a legitimate accelerant.

Also contract work in Clojure and learning Rust. Used Clojure to create a bot for finding translation work for an independent Japanese translator, more than doubling their yearly income.

Looking for backend or full-stack Elixir work with real systems and concurrency problems. I like to use the BEAM for what the BEAM is actually good at, which is massive concurrency. You can use the PETAL stack for much more than just building the next webapp!

Remote: Yes

Willing to relocate: Yes, for the right opportunity

Technologies: Product Management, SaaS, B2B/B2C, APIs, SQL, Analytics, AI/ML, LLMs, Platform Products, Marketplaces, n8n, Mixpanel, Metabase, Figma

Résumé/CV: https://www.linkedin.com/in/abhijeetanurag/

Email: lifesuck1507@duck.com

Product Manager / Product Leader with 9+ years of experience across Product Management and Software Engineering. I've built and scaled products across B2B SaaS, marketplaces, PropTech, HealthTech, logistics and consumer internet.

I'm particularly interested in Founding PM / First PM / Lead PM / Senior PM roles where I can work closely with founders and engineering and own the product end-to-end — from identifying the problem and defining the strategy to shipping, measuring and iterating.

A few things I've worked on:

1.Scaled a B2B marketplace from ~$120K → ~$1.2M monthly GMV

2. Built a clinic-management product adopted by 2,000+ clinics

3.Built an ML-based RTO prediction product that reduced RTO by 30%

4.Built WhatsApp post-purchase automation handling 5M+ transactions/month

5.Worked on a high-scale consumer experience supporting 50M+ concurrent users

6.Built platform products involving APIs, data pipelines, ML models and workflow automation

I'm strongest at the intersection of product strategy, technology and execution. I enjoy ambiguous problems, early-stage environments and taking ownership rather than working on a narrow product slice.

Looking for opportunities in India / Delhi NCR / remote, with openness to relocation for the right team.

Happy to connect with founders, hiring managers or teams building interesting products.