Resume
Technology executive, systems architect, and hands-on builder with 25+ years of experience across AI platforms, cloud-native SaaS, mobile, high-scale eCommerce, and engineering organization growth.
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Download the concise PDF version with detailed career history and contact information.
Selected Experience
Founder, Daryl Beattie Consulting Services Inc.
2025 to present
Builds and launches AI-enabled SaaS products while advising organizations on digital modernization, cloud architecture, AI adoption, and production-ready platform design.
Co-founder and CTO, BEYONDGRAVITY.ai
2022 to 2024
Defined technology strategy and built a serverless, multi-tenant AI recruitment platform on AWS, including mobile product delivery, RAG pipelines, semantic search, ranking, and data ingestion at scale.
Senior Director of Engineering, IPSY
2021
Directed five distributed engineering teams across ten countries, led post-merger platform consolidation, and strengthened incident management and RCA practices.
VP and Director of Engineering, BoxyCharm
2016 to 2020
Scaled engineering from one junior engineer to a 42-person organization, supported growth past one million subscribers, and led high-scale eCommerce, cloud, data, QA, and compliance initiatives.
Development Manager, TurboPromote
2004 to 2016
Led engineering, QA, and data teams for global social platforms, including cloud migration, real-time reporting, moderation systems, and early image-recognition workflows.
AI In The Work
AI agents are part of my daily workflow, but they do not replace technical ownership.
Tools I use
Codex
Repo-wide changes, tests, refactors, documentation updates, and the verification work that turns a draft into a real change.
Claude Code
Deep codebase reasoning, architecture discussion, domain modeling, and long-form work on thornier implementation problems.
Cursor
Fast inline coding, targeted local edits, pairing flow, and focused iteration inside active development work.
Start with the problem
Before I let agents loose in the code, I write down what we are trying to do, what cannot break, and what good looks like.
Give agents clear jobs
Codex, Claude Code, and Cursor each get specific work: implement this, check that, explain the tradeoff, write the test, clean up the edge case.
Make the design argue back
I use AI to challenge the architecture before the team is committed to it. If the design is weak, I want to know early.
Trust the evidence
Tests, diffs, logs, screenshots, and local runs matter more than a confident explanation. If the evidence is weak, the work is not done.
AI can write code. It cannot own the consequences.
Agents can do the work, but I still need to be able to defend the architecture, the tradeoffs, and the release.
Planning still matters. Story-point accounting and ceremony matter a lot less when the feedback loop is this fast.
Less process theatre. More working software, better evidence, and clearer technical ownership.
Technical Strengths
Daily hands-on agentic development using Codex, Claude Code, and Cursor across planning, architecture, implementation, debugging, tests, and documentation
Cloud-native SaaS and platform architecture, including multi-tenant systems, APIs, distributed workflows, and white-label foundations
AWS architecture across Lambda, AppSync, Amplify, API Gateway, Cognito, DynamoDB, S3, RDS/Aurora, Kinesis, and CloudFront
Production AI systems including RAG pipelines, embeddings, semantic search, ranking, classification, evaluation loops, and agentic workflows
Go-to technology leader for executive-level decisions, IC-level implementation problems, and the messy work between them
Engineering organization growth, hiring, vendor management, delivery operations, incident management, and release quality
Modern product engineering across TypeScript, Python, Node.js, GraphQL, React, React Native, Expo, PostgreSQL, and cloud systems
Leadership Strengths
Uses AI agents daily without handing them the steering wheel on architecture, product fit, security, or quality
Known at a past company as "The Solution" because hard technical questions from executives to ICs kept ending up with him
Scales engineering organizations around clear ownership, fast feedback, delivery standards, and technical depth
Connects executive strategy, product roadmaps, architecture choices, and operating reality
Builds practical engineering systems for quality, incident response, secure delivery, and release management
Partners closely with Product, founders, vendors, advisors, and investors without losing implementation detail