2024 01 01 antler prep

Antler - 2025 - Interview 1

  • Background
  • Full Stack Engineer
  • 7+ Years of Professional Experience

  • Current 1+ Year Daily Journal Streak - WOTD

  • Examples for Building

  • 2012 - Built Android App for Lab Data Journal to Reduce Paper waste

  • 2024 - Building Healthcare app using LLM for accessibilty, integrated diagnostics

  • Project - Sanjeevini

  • Started building from October 2024
  • Private Voice Transcription with local Speech Language Model (whisper/ultravox)
  • Healthcare Management with integration for ABDM(India) / government API's

  • Data Analytics support for Doctors to research.

  • Idea

  • Build in public, with Open Core development philosophy
    • Provide managed systems with subsriptions for Hospital Chain, Government, Clinics
  • Source avaialble for Open Source colloraboration
    • Custom integrations for API, medical devices
    • Idea exchanges between developer
    • Candidate funnel for future employment

  • Inspired by GitLab/ Linux

  • Cohort

  • Currently based in Wurzburg, Bavaria, Germany

  • Prefer cohort residency in Berlin

    • Better startup culture

  • Why Open Core, Open Source LLM

  • Using mistral/llama models to avoid vendor lock-in and denial of service with external API

  • Build system from ground up with independent systems for long term growth

  • Timeline

  • Started research on local LLM since March 2023 - https://github.com/slabstech/llm-recipes
    • Inspired by Figure 01 robot demo - https://www.youtube.com/watch?v=Sq1QZB5baNw
    • Explored LLM for text , vision and voice via experiment with python

  • Started participating in Hackathons to explore ideas and prototype solutions

    • Tax Tech Hackathon, Frankfurt - November, 2024
    • Hackfestival Mannheim, September 2024
    • HackNow, Remote, July 2024
    • Europe Defense Hackathon, Munich, June 2024
    • Mistral Paris Hackathon, Remote, May 2024

  • Found use-case for Sanjeevini - healthcare app

  • Misdiagnosis of a heart issue with a family member due to Missing data
  • Goal is to reduce gap for healthcare acess and provide better diagnostics