Daniel Mil

Sotware Develoment Engineer II - Ads AI Core (Agentic AI Platform)

Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Daniel Mil is a software engineer with nine years of experience focused on building scalable backend systems and production-grade AI platforms at Amazon. He progressed from maintaining open-source serverless tooling (AWS SAM & SAM CLI) to designing AI/LLM systems for Amazon Q that map complex AWS environments into resource graphs for LLM reasoning. Today he develops an agentic AI platform for Ads—building a managed runtime, SDKs for guardrails and memory, evaluation frameworks, and developer tooling to help teams adopt AI at scale. He blends deep systems engineering (Rust, distributed serverless, ECS) with developer experience and product-oriented thinking to deliver observable, cost-efficient AI infrastructure. Notably, his work enables LLMs to reason over real cloud topologies, a practical bridge between large models and operational systems. Based in Toronto, he’s passionate about turning research-grade AI capabilities into reliable, production workflows.
code9 years of coding experience
job1 year of employment as a software developer
bookBachelor of Engineering - B.ENG, Computer Engineering, Bachelor of Engineering - B.ENG, Computer Engineering at University of Guelph
languagesHebrew, Russian, English
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Github Skills (11)

passportjs9
user-registration8
authentication6
mongodb6
gedcom3
parser3
react2
machine-learning2
webapp2
sql-injection2
architecture1

Programming languages (3)

TypeScriptCJavaScript

Github contributions (5)

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DanielMil/SQLDetection

May 2019 - Mar 2021

Detect potential SQL Injections using various ML techniques.
Contributions:14 commits, 4 PRs, 7 pushes in 1 year 10 months
machine-learningsql-injection
Contributions:33 commits in 3 months
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