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zilyova
Joined 1 karma

  1.   Location: Sydney, Australia (work across US/AU/EU time zones)
      Remote: Yes
      Willing to relocate: Open to short relocations; E-3 eligible for US. Also open to B2B contracting.
      Technologies: 
    
    * Backend: Python, FastAPI, C#

    * Frontend: Vue.js/JS

    * ML/AI: PyTorch, ONNX Runtime, Transformers, LangGraph, LangChain, Azure OpenAI, Azure AI Search, Vertex AI, Dialogflow CX, CoquiTTS, RAG/Graph-RAG, Guardrails, NLP pipelines

    * LLM Integrations: OpenAI

    * ETL: Apache NiFi

    * DevOps/Cloud: GCP (Pub/Sub, FireStore GCP CloudRun etc), Azure (Container Jobs, Azure AI Search), Docker, GitLab CI/CD

    * RDBMS: PostgreSQL/pgvector, SQL Server

      Résumé/CV: https://bit.ly/4h1uoWJ
    
      Email: whoshiring[dot]max[at]gmail[dot]com
  2. I'm working on graph insight, a semantic graph tool for exploring research papers. It extracts keyphrases, builds a 3D graph, and lets you navigate from documents > topics > clusters.

    So far: ~28k papers processed, 100k+ topics mapped. Use case: faster literature review, spotting hidden links, and seeing research areas as a connected landscape instead of isolated PDFs. I think this tool applicable for news/media streams too.

    Example (Text-to-Speech papers): https://www.reddit.com/r/deeplearning/comments/1nic3ft/3d_se...

    I’m curious - would this be useful as a standalone tool for researchers/engineers/other domain areas?

  3. I like it. Looks really useful.
  4. This is an amazing project. I like it.
  5. TTS api for voice chatbots for customer support teams.

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