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Areeb Abbasi
Mid-level Full-Stack AI Engineer specializing in deployed LLM agents and RAG systems
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Built a real-time AI meeting assistant using a Chrome extension that streams audio to a backend LLM workflow with transcription and RAG, then hardened it for production with queue-based streaming, async pipelines, security controls, and full observability. Also has hands-on startup sales experience, partnering with customers to define measurable technical win conditions (latency/accuracy) to close deals and drive adoption.
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Key Strengths
- Took an LLM-based real-time meeting assistant from concept/prototype to production hardening
- Designs scalable, reliable streaming architectures (queues, retries, backpressure, async pipelines) to reduce latency
- Implements LLM quality controls (versioning prompts/embeddings/retrieval + evaluation checks to prevent silent regressions)
- Strong security/compliance mindset (auth, permissions scoping, encrypted streams, strict retention policies)
- Effective real-time debugging of agentic/LLM workflows using observability (logs, traces, step snapshots, metrics)
- Uses targeted mitigations and validates fixes with live inputs and shadow traffic
- Can lead technical demos/workshops tailored to developer audiences (end-to-end demo + deep dive)
- Directly involved in sales at a startup; aligns technical win conditions to customer business goals to drive adoption
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