Anish Patel

About

Meta engineer who has shipped both user-facing full-stack product work and internal AI agent systems at production scale. Most notably built AuditFixer, an agentic remediation pipeline that fully automated audit-fix workflows, cut turnaround from 6-7 hours to under 1 hour, and has already produced 30+ landed diffs, while also owning the Llama API evaluation flow launched for thousands of developers.

Key Strengths

• Owned full-stack Llama API evaluation flow end to end under a 2-week launch deadline
• Built production AI remediation system that reduced audit-fix time from 6-7 hours to under 1 hour
• Shipped agentic automation with 30+ diffs landed in production
• Strong multi-agent LLM systems design with grounding, tool use, routing, and structured outputs
• Thoughtful AI safety design using HITL, HOTL, and AFK operating modes
• Production evaluation and monitoring of AI agents using scenario-based eval datasets and baseline scoring
• Handled ambiguous, fast-changing product requirements while aligning cross-functional stakeholders daily
• Strong frontend engineering in React/TypeScript for complex long-running workflows
• Comprehensive layered testing strategy across component, smoke, and end-to-end coverage
• Performance and audit domain expertise across SSR, network, CPU, LCP, validation, and navigation audits

Experience

Education

Skills

Languages