Ray Fernando

Activities

historical

Ray Fernando is a former software engineer who spent over a decade working in industry-level product engineering before moving into AI-focused entrepreneurship and content creation. Public summaries indicate he worked at Apple for an extended period (commonly reported as ~12 years) where he gained experience building consumer-facing software and product workflows.

present

Currently, Ray is focused on building AI applications and tools, most notably TruthTorch.ai — an AI-driven project that aims to detect and analyze misinformation in text, social media, and news. He is also an active content creator and livestreamer: his YouTube presence under the handle “RayFernando1337” features live coding sessions, AI experimentation, app builds, and collaboration streams. He runs an active community (reported as ~140+ builders) on Discord where members ship AI projects together and learn in public.

Connections to other people and companies

  • Former tenure at [Apple] (public summary reporting indicates long-term engineering experience there).
  • Collaborates with independent AI developers and streamers in the developer community (examples reported include Cole Medin and other builders).
  • Community of builders on Discord; audience and collaborators come from the broader AI streamer/developer ecosystem.

Expectations for the future

  • Continued focus on tooling that uses large language models to surface biases, fallacies, and misinformation patterns.
  • Ongoing public education and community-driven product development via livestreams and open collaboration.
  • Potential growth of TruthTorch from alpha/private access to a more broadly available product depending on funding, adoption, and technical validation.

Interests

  • Practical applications of large language models and newer AI systems.
  • Building developer-focused, utility-driven AI products rather than purely academic research.
  • Public, transparent development (“learning in public” via livestreams and community building).

Sources

  • Perplexity AI searches and aggregated public summaries (multiple search sessions conducted during research).
  • TruthTorch project (TruthTorch.ai) — project landing page and public descriptions.
  • YouTube channel: RayFernando1337 — livestreams and recordings of AI builds and coding sessions.
  • Social handles / public posts (reporting and community references).