Michael Lin

Founder

United States11 yrs 3 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led re-architecture of legacy systems at Netflix.
  • Developed backend services for Amazon Dash Button.
  • Founder of AI consulting firm focused on ROI.
Stackforce AI infers this person is a SaaS and E-commerce expert with a strong focus on AI-driven solutions.

Contact

Skills

Core Skills

Ai Software DevelopmentAi StrategySystem ArchitectureNotifications PlatformBackend ServicesCloud MigrationC Library DevelopmentAutomation Scripts

Other Skills

WorkshopsMentoringSystem DesignPythonSoftware EngineeringPerlAmazon Web Services (AWS)JavaSoftware Development

About

We help businesses accelerate ROI from AI. Our capabilities include: ⬇️ 1️⃣ AI Software Development - Whether you’re going from 0 to 1 or building on-top of existing systems, we will turn your vision into reality quickly and efficiently. 2️⃣ Audits - We can evaluate where AI can have the biggest impact on your organization, help you develop your AI strategy, and mitigate risk. 3️⃣ Training and Workshops - Get your organization up to speed on AI through tailored workshops and speaking engagements. --- Our Differentiators: 1. Our Team - Many AI consultancies come from consulting or data science backgrounds. We come from engineering backgrounds, so we can help with the technical details of implementation that others lack the expertise to do. 2. Our Approach - We've developed our own methodology for handling AI projects that is different than regular software projects. During Discovery, we test prompts and technologies to ensure that you get the answers you expect before investing resources into building it out. Furthermore we phase the projects in such a way to get a working prototype in your hands as quickly as possible. 3. Our Focus - We specialize entirely in projects that involve some AI component to them. Our team members have extensive experience with AI to ensure things are done right the first time. --- Our Process: Engagements with us span three phases: 1) vision-to-paper and 2) implementation 3) extension. 1. Vision-to-paper - This is a 2-3 week discovery centered around: requirements gathering, solutions review, and engineering architecture. You will get a report at the end documenting key discoveries, decisions, and a full implementation plan. 2. Implementation - Our goal is to get you a win within 6 weeks. The first 5 weeks are dedicated to implementation, and the last week is dedicated to QA, hand-off, and documentation. We will send you twice a week updates over email, and do a live demo with you every two weeks. 3. Extension - If you need additional features, enhancements, maintenance and support, we will assist in this phase. If you'd like to inquire about working with us, please reach out to us in one of the following ways: 1) Message me here on LinkedIn 2) Email me at michael@allinconsulting.ai 2) Contact us through our website - https://allinconsulting.ai

Experience

11 yrs 3 mos
Total Experience
2 yrs 9 mos
Average Tenure
4 yrs 3 mos
Current Experience

All-in consulting

Founder, CEO

Feb 2022Present · 4 yrs 3 mos · San Francisco Bay Area

  • We help businesses accelerate ROI from AI. Core capabilities include AI strategy, software development, and workshops. Check out our website at allinconsulting.ai
AI Software DevelopmentAI StrategyWorkshops

Netflix

Engineering Lead - Senior Software Engineer

Aug 2017May 2021 · 3 yrs 9 mos · San Francisco Bay Area

  • Engineering lead of the notifications platform at Netflix responsible for sending over 6 billion+ notifications/month and driving 9 figures in incremental revenue
  • Lead the re-architecture of a 10-year old legacy notifications system to a modern architecture to speed up feature velocity while increasing resiliency of the system to any customer impacting issues
  • Partnered closely with product, design, and engineering leadership to make appropriate trade-offs and speed up GTM for key product features and A/B tests
  • Mentored and coached 2 junior and senior engineers who later on were promoted to staff/engineering lead roles or moved into management themselves
Notifications PlatformSystem ArchitectureMentoring

Amazon

2 roles

Software Development Engineer - Amazon Dash

Sep 2014Jun 2017 · 2 yrs 9 mos · Greater Seattle Area

  • I built backend services for the Amazon Dash Button.
  • Designed the architecture for the services behind all parts of the Amazon Dash button, including the UI, registrations, order placements, vendor management, notifications, and Dash 3rd party API's.
  • Scaled the systems behind the Amazon Dash Button to handle the international expansion of the Amazon Dash button from the US to Europe and Japan
  • Lead the cloud migration of the backend services powering Kindle devices over to AWS's EC-2 instances
Backend ServicesCloud MigrationSystem Design

Software Development Engineer - Intern

May 2013Aug 2013 · 3 mos · Greater Seattle Area

  • I wrote software for Kindle devices to connect to each other.

University of california, berkeley - nielsen laboratory

Research Assistant

May 2012Aug 2012 · 3 mos · San Francisco Bay Area

  • I wrote a C library to infer demographic histories from DNA sequence data.
C Library Development

Plx technology

Engineering Applications Intern

Jun 2011Aug 2011 · 2 mos · San Francisco Bay Area

  • I wrote automation scripts for Cisco switches.
Automation Scripts

Education

University of California, Berkeley

Bachelor of Science (BS) — Electrical Engineering and Computer Science

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