ML systems builder with 4+ years shipping AI features to 50,000+ end users, specializing in production agent harness design (tools, memory, guardrails) and evals infrastructure. Bridges the gap between raw LLM output and merchant-grade systems through systematic prompting, evaluation, and code generation pipelines.
Route to AI Engineer, AI Systems Engineer, LLM Engineer teams building high-throughput services in the candidate's core stack.
Production LLM agent harness design (tools, memory, guardrails, traces). Evals infrastructure & trace analysis for LLM quality assurance. AI code generation pipelines (React, Shopify Liquid, multi-language). Full-stack AI feature shipping at scale (50K+ daily active users).
AI/LLM Engineer, Full-Stack AI Systems Engineer, Applied ML Engineer, ML Infrastructure Engineer.
Remote-first. Based in Phoenix, US.
Targeting $100K+. Currently: AI Engineer.
Recruiter screen → hiring-manager review → technical conversation around AI Design-Quality Pipeline, Atlas AI Shopify Store Builder, Furet.io AI Ad Research Agent.
Miske's work in AI/LLM Engineer, Full-Stack AI Systems Engineer, Applied ML Engineer translates directly into adjacent domains with similar architecture, scale, and reliability needs.
This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.
Requirement: Deliver on ai design-quality pipeline at production scale.
Proof: Closed gap between raw LLM output and merchant-grade Shopify themes through systematic prompting and evaluation
Requirement: Deliver on atlas ai shopify store builder at production scale.
Proof: Shipped production AI features used daily by 50,000+ merchants
Requirement: Deliver on furet.io ai ad research agent at production scale.
Proof: Scanned 7,900 ads and surfaced 19 winners in one pass, collapsing hours of manual research into minutes
Requirement: Ship work that requires production llm agent harness design (tools, memory, guardrails, traces).
Proof: Demonstrated at prior roles.
Requirement: Ship work that requires evals infrastructure & trace analysis for llm quality assurance.
Proof: Demonstrated at prior roles.
Requirement: Ship work that requires ai code generation pipelines (react, shopify liquid, multi-language).
Proof: Demonstrated at prior roles.
Closed gap between raw LLM output and merchant-grade Shopify themes through systematic prompting and evaluation
Shipped production AI features used daily by 50,000+ merchants
Scanned 7,900 ads and surfaced 19 winners in one pass, collapsing hours of manual research into minutes
Senior — role fit: primary.
Senior — role fit: primary.
Senior — role fit: secondary.
Mid-to-Senior — role fit: secondary.
Applied across AI Engineer contexts.
https://pypes.dev/miske-el-vilaly
Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.
www.linkedin.com/in/miske-el-vilaly-b3b33a19a
Professional profile and recruiter connection path.
This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.
Primary fit: AI Engineer, AI Systems Engineer, LLM Engineer.
Fastest way to reach Miske — grab a slot on their calendar.
Persistent candidate surface for routing, resume, and proof surfaces.
Professional profile and recruiter connection path.
Additional candidate-owned portfolio and technical writing surface.
Miske El Vilaly is a Phoenix, US-based AI Engineer. ML systems builder with 4+ years shipping AI features to 50,000+ end users, specializing in production agent harness design (tools, memory, guardrails) and evals infrastructure. Bridges the gap between raw LLM output and merchant-grade systems through systematic prompting, evaluation, and code generation pipelines. Best fit: AI Engineer, AI Systems Engineer, LLM Engineer.