Qdrant

The Qdrant Output Connector

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

Location: Istanbul, Türkiye Remote: Yes Willing to relocate: Depends on the opportunity Technologies: Rust, C/C++, Python, TypeScript, Dart, Linux, eBPF/XDP, kernel networking, embedded systems, RTOS, WebRTC, STT/LLM/TTS, RAG, asyncio, PostgreSQL, Qdrant, Docker, AWS, GCP, Azure, Flutter, Svelte, security, access control, observability Résumé/CV: https://www.msakg.com GitHub: https://github.com/imsakg LinkedIn: https://www.linkedin.com/in/msakg Email: msa@msakg.com Senior/Lead Software Engineer with 7+ years of experience across real-time AI systems, backend/platform engineering, Linux, kernel networking, embedded/RTOS, infrastructure, WebRTC, and security products. Open to Senior/Staff/Lead rol…

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

Location: San Diego, US 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…

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

Location: Mumbai, India Remote: Yes Willing to relocate: Yes — Hyderabad or Bengaluru preferred Technologies: Node.js, TypeScript, JavaScript, Express, LoopBack, REST, microservices, PostgreSQL, Oracle, MySQL, Redis, Elasticsearch, Docker, Linux, Jenkins, AWS, Python, React, Next.js, React Native, LangChain, RAG, Qdrant, OpenAI, Gemini Résumé/CV: https://drive.google.com/file/d/1McNKRI8AjV41mFbi9iz2hMiKZec... Email: codeursahil2233@gmail.com Know more about me: https://www.sahilsdevlab.com/ Senior SDE at Valuefy, a wealth-management fintech — about three years in, promoted to Senior within a year of graduating. I own backend delivery across three HDFC Bank programs: a domestic portfolio reporting platform, an offshore product for high-AUM clien…

Qwen3.8 Max now ranked as the best overall model by agentic index

Oh I do. Headless 128GB RAM machine serving llama.cpp with a number of local models that I use on a daily basis. • Qwen3-VL picks up new images in a NAS, auto captions and adds the text descriptions as a hidden EXIF layer into the image, which is used for fast search and organization in conjunction with a Qdrant vector database. • Gemma3:27b is used for personal translation work (mostly English and Chinese). • Some small 8b models (like llama3.1) for sentiment analysis on text. But haven't really tried using local LLMs in conjunction with agentic harnesses yet.