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Zahan Goel
Junior AI/ML Engineer specializing in LLM systems and mechanistic interpretability
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About
Second most active contributor at Daice Labs, owning a production AI-powered software development collaboration platform’s end-to-end execution infrastructure (TypeScript/Next.js backend, Node.js CLI, shared libs). Built the full multi-agent pipeline (planning/codegen/summary), Supabase-backed context assembly and realtime state, Git/GitHub automation, and a provider-agnostic LLM abstraction with strict Zod validation and retries, backed by extensive tests and design specs.
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Key Strengths
- Owned end-to-end AI-powered TypeScript execution pipeline (web app + CLI + shared libs) in production
- Built multi-stage workflow orchestration with correctness gates and recoverable failure handling
- Strong reliability practices: Zod-validated structured outputs and exponential backoff retries
- Idempotency and re-execution design (deterministic branch naming, PR merge gating, collision avoidance)
- High testing rigor (189 test cases plus unit tests across agents, server, and CLI flows)
- Pragmatic architecture decisions and willingness to pivot (URL scheme replaced with localhost HTTP daemon)
- Deep debugging of silent failures across CLI, realtime subscriptions, and credential/config issues
- Auth/integration experience: GitHub OAuth + API integrations; Supabase schema/migrations ownership
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