Timothy Lin

Bootstrapping a AI-first, customer relationship platform that's effortless to configure and use

• Architected AI-first, serverless relationship platform from the ground up using NextJS, React, Vercel, PostgreSQL/Neon, Inngest
• Created MVP product roadmap and engineered core AI integrations, created AI-friendly meta layer that abstracts configuration complexity
• Leveraged deep domain expertise in legacy enterprise CRM ecosystem (i.e. Salesforce) to identify market inefficiencies and user adoption pain-points to build a modern alternative
• Established modern CI/CD pipeline with first-class DX

Sold engagements and then build the engineering teams to deliver them. Often times working as either Senior Product Manager to drive the roadmap and outcome, or as Engineering Manager leading the build of supporting platforms or triage of at-risk projects

• Created and Managed product roadmap of AI Adoption with RAG and enterprise application integration for the largest state benefits platform
• Led product adoption roadmap of AWS GovCloud with FinOps for FedRamp Moderate compliance
• Interviewed 50+ engineers annually
• Responsible for $15+ MM USD/year quota
• Built HybridCloud engineering tiger team to help regulated industries adopt hybrid cloud computing using Google Anthos
• Led creation and execution application modernization roadmap to revamp a legacy J2EE application with modern springboot and React front-end

Led product management of a portfolio of 80+ Deloitte delivery accelerators and SaaS products for regulated industries

• Launched the first internal IDP with preintegrated toolchain and golden path to accelerate both building of new and modernization of legacy products - reduced PoC startup time from 6+ months to 2 weeks
• Advised product teams in product lifecycle management - from bootstrapping, market exploration, scaling to sunsetting/pivoting
• Optimized onboarding flow

Implemented SRE team/platform and defined/delivered product features on a mission critical web application

• Defined and executed produt roadmap to adopt Apache Kafka to replace long-running batch jobs - 90% batch job runtime reduction
• Led and managed produt roadmap to built observability platform and guided the engineering team to adopt SRE thinking - reduced SEV1 from 15/year to less than 1/year
• Launched a force.com application at a Fortune 10 company, replaced legacy mainframe application, resulted in 80% reduction in maintenance cost

Consulted for global F100 clients on data center operations and cloud adoption

• Reduced Enterprise Storage Assessment time by 90% by creating automation via python code to an Accenture internal data center assessment tool
• Saved $30M/year in data center cost and reduced environment provision time by 80% through planning and executing cloud migration of a high-traffic application from on-prem to AWS
• Managed a 45-60 FTE enginering team, championed open communication, servant leadership - reduced YoY turnover from 25+% to <5%

Data Center Consultant specialized in Linux, enterprise storage, disaster recovery

• Reduced hardware acquisition cost 80% by migrating from legacy UNIX systems to Red Hat Linux on x86 hardware
• Saved $2.5M/year in tape courier costs by designing and implementing a D2D2D scale-out enterprise backup solution
• Designed and implemented enterprise storage provisioning system; reduced storage provision time from 2+ weeks to less than 1 business day

Systems Engineer specialized in large-scale, distributed Linux systems administration

• Designed and implemented 'compute farm' that allowed NOAA weather researchers to perform local development, reduced reliance of supercomputers, resulted in 50% development velocity of GFS models
• Architected and implemented agency's disaster recovery system based on Tivoli Storage Manager and ADIC Tape Libaries on-time/budget, resulted in the ageny's first automated backup of the mission-critical weather data serving system
• Launched agency-wide automated patching system with Red Hat Satellite Server, reduced system patching cycle from 5+ days to hours across 5+ NOAA centers in US

Built and maintain HPC systems for resarch, maintain GLCF computing and storage infrastructure

• Built and maintained low-latency HPC systems for graduate and post-graduate computing research using Infiniband and other highspeed interconnects.
• Designed and maintined compute and storage systems at Global Land Coverage Facility - The largest public earyh science data provider.
• Provided the seed raster data for the first version of Google Maps.