Nilay Sangle
I’m Nilay Sangle, a full-time AI-native developer who builds end-to-end production systems—model, guardrails, backend, and interface—then ships them reliably.
About
I’m Nilay Sangle, a full-time AI-native developer who builds end-to-end production systems—model, guardrails, backend, and interface—then ships them reliably. Over the last ~18 months, I’ve built and launched platform-grade AI products across multiple industries including recruitment, home services, logistics, sales enablement, and developer tooling.
My approach is engineering-first: deterministic state machines, structured outputs, schema validation, and guardrail layers that catch confident mistakes before they reach users. I’m comfortable working in modern stacks with TypeScript, React/Next.js, Node/Express, PostgreSQL, and LLM tooling (Anthropic/Claude), and I’ve shipped live voice and automation systems that integrate telephony and real-time agents.
- 2 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Media & Entertainment
- Financial Services
- Education
- Transportation & Logistics
- Retail
- Professional Services
Work experience
Built and shipped multiple production AI systems with end-to-end engineering responsibility: LLM workflows, deterministic guardrails, backend services, and user-facing interfaces. Delivered live systems including voice AI agents integrated with telephony and real-time streaming, automation pipelines for scheduling and qualification, a QC scoring evaluator that generates client-readable reports with reproducible arithmetic checks, an OS-like voice lead and speed-to-lead platform, and logistics automation for revenue control and prioritization of shipments. Implemented evaluation/verification approaches with deterministic scoring, schema validation (e.g., Zod), state machines as single sources of truth, and extensive automated tests and CI gates to prevent regressions.
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