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Uncovering bugs
👨‍💻
Uncovering bugs
262 followers · 1.1k following

Achievements

Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Public SponsorAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruck

Achievements

Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Public SponsorAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruck

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@GetStream

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sachaarbonel/README.md

Hi, I'm Sacha 👋

Twitter • LinkedIn • GitHub • Medium • Email

I’m a Software Engineer with 7+ years in backend and mobile. I’ve shipped systems that reached over a billion users and ran services that process millions of messages a day. I care about open source, clear design, and reliable scale.

What I work on

  • Pion/WebRTC–based media I/O library used by other services (egress/ingestion for transcription & recording; ingress for HLS, WHIP, SRT).
  • Whisper infrastructure: language hot-reload config (no restart), Prometheus/CloudWatch metrics, Grafana dashboards, rollout speed-ups with Packer-baked AMIs, and CloudFormation maintenance.
  • VAD with Silero via ONNX Runtime (Go) to enable real-time captions (no VAD → no live captions) and reduce waste.
  • Accuracy work: built a hallucination dataset (transcribed a noise corpus) + Aho-Corasick matcher in Go, with deloops and Unicode range filters to remove hallucinations; important for most customers and critical for healthcare.
  • Codegen & SDKs: internal OpenAPI → server-side SDK tooling; owner of the Python and Go SDKs (35k+ LOC each).
  • Product support: outages on rotation, post-mortems, indexes for big imports, quick fixes across chat and dashboard (picked up Django fast when needed).

Highlights

  • p95 live transcription/closed captions: ~650 ms → ~300 ms.
  • Cost: ~36× cheaper than OpenAI 4o transcribe for our load.
  • Rollouts: ~11 min → ~1 min with Packer AMIs + trimmed Puppet.
  • One service for transcription and captions → ~50% infra/ops reduction.
  • Proved CPU wasn’t the bottleneck; eased GPU concurrency with NVIDIA MPS.
  • Quality: sales team dogfoods our app as a Gong replacement.

Tech

Go • Rust • Python • C++/CUDA • Whisper • ONNX Runtime • Pion/WebRTC • AWS • CloudFormation (maintenance) • CloudWatch • Prometheus • Grafana • Packer/AMIs • Puppet • Kibana • Nsight • NVIDIA MPS • OpenAPI

Writing

Contact

Sacha's GitHub stats

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    ReefDB is a minimalistic, in-memory and on-disk database management system written in Rust, implementing basic SQL query capabilities and full-text search.

    Rust 89 3