Apr 2020 – Apr 2021 · 1 yr · San Francisco Bay Area

• Reported to the CTO.
• Mainly worked with Product, Engineering and Sales to promote incubating ideas like IVR proxy, SFTP solution and Network tokens

Nov 2019 – Jan 2023 · 3 yrs 2 mos · San Francisco Bay Area

• Led Marketing Infrastructure 2019 - 2020
• Led Seller Conversion + Seller Growth 2020-2021
• Leading Consumer Org (Buyer, Seller and Growth) 2021-Present
• Reduced Opendoor offer creation by 12 seconds and increased view rate from 75 -> 92%
• Identified and fixed the Offer data model to increase accuracy by 25% from 70% -> 95%
• Identified and optimized Opendoor's Offer Refresh pipeline which resulted in doubling the amount of homes purchased in 2021
• Designed and launched "Outbound offers" which sends offers to listed homes. Worked with the brokerage team and data science to send "competitive" offers by considering anticipated customer expectation (balancing list price vs. DOM) and home eligibility. Within one month of launching to select markets, we reached 4% of overall company revenue in 2021
• Designed strategy to bypass adblockers and increase ToF metrics collection by 28% (which helps gather stats sig faster for experimentation and more accurate reporting)
• Stood up a Consumer Platform team to build product tooling for the org
• Unified customer data model
• Unified authentication and access controls
• Introduced best practices around telementary, autoscaling and gRPC
• Added K8 HPA and custom metrics such that every team can enable autoscaling (This led us to be able to autoscale by 30x during spikes around IPO and large announcements)
• Added Datadog APM to all Opendoor services
• Added version control, baseline monitors and dashboards to every service within Consumer
• Added the ability to serve gRPC from our Ruby on Rails monolith
• Designed server-side paid marketing pipeline as Opendoor has outgrown Google Tag Manager

Jun 2018 – Oct 2019 · 1 yr 4 mos · San Francisco Bay Area

• Leading the Zendesk Sunshine engineering team to stitch all Zendesk products together for upmarket initiative
• Ingestion pipeline for all internal and external integrations (REST API and gRPC w/ TLS)
• Design & implementation of Event and User persistence layer for low latency and high writes
• Design & implementation of proxy services (Envoy) to allow our regional service to be available to all Zendesk accounts
• Designed migration scripts on EMR with Spark for DynamoDB (40m items copied in less than 30 min)
• Interviewed and hired 9 engineers
• Filed 3 patents
• System and method for classifying events to facilitate storage and retrieval in an event-driven computing system
• Maintaining time-based sessions to facilitate dynamic segmentation of users in an ecommerce system
• Segmenting users and associated events to provide actionable insights in an ecommerce system
• https://patents.google.com/patent/US20200151732A1/en
• https://patents.google.com/patent/US20200151747A1/en
• https://patents.google.com/patent/US20200151734A1/en

May 2017 – Jun 2018 · 1 yr 1 mo · San Francisco Bay Area

• Part of the original Outbound team (1 of 5), working on Outbound by Zendesk.
• As the only full-time engineer on Outbound, on-boarding and transitioning ownership of service to 16+ engineers
• Automation of our Infrastructure with Terraform and Fabric
• Cloud consolidation: moved our infrastructure from AWS and Digital Ocean to GCP
• Migrated 200+ TB Bigtable from SSD to HDD. Saved over $27,000/month
• Optimized network by using private subnets to talk to managed services on GCP. Saved over $10k a month
• Skills:
• Bigtable, BigQuery, CloudSQL, MongoDB, Pub/Sub, Go, Java, EMR, Terraform, Fabric

Feb 2016 – May 2017 · 1 yr 3 mos · San Francisco Bay Area

• Ownership of Android and iOS SDK
• Wrote backend for User Search and Journey
• Server Administration + Infrastructure
• Maintaining, managing 3 MongoDB clusters, 1 RabbitMQ cluster
• Setting up monitoring and pagers
• Set up the first automated deployment (previously had to SSH into every worker)
• Rewrite of Events (3B+ items) and Users (100m+ items) to be on Bigtable instead of MongoDB
• Worked and shipped 15+ features
• Spoke at Google Cloud Next about Processing data at scale with Google Cloud Bigtable, Dataflow, and Dataproc
• Skills:
• Bigtable, BigQuery, CloudSQL, MongoDB, Pub/Sub, RabbitMQ, Go, Angular

Jun 2015 – Feb 2016 · 8 mos · San Francisco Bay Area

• Ownership and maintenance of Practice Management Software (PMS) which integrates DoctorBase with 17 other software applications
• Feature Development on DoctorBase 2.0
• Led code reviews for production deployment
• Training fellow team members and customer success
• Developing Integration test framework
• Worked on the technical transition from DoctorBase to Kareo
• Skills:
• Postgres, Java, Perl, C#, Angular

May 2014 – Mar 2015 · 10 mos · San Francisco Bay Area

• Worked on the R&D team for Cloud Platform
• Enhanced UX by implementing meta-data driven page model and redesigning personalization into independent blocks and got rid of dependencies
• Worked to improve and solidify data services, user models and UI meta models
• Collaborated Shanghai Team to improve migration and deployment
• Implemented crawler tests to find errors
• Skills:
• MongoDB, C#, JavaScript

Sep 2013 – Dec 2013 · 3 mos · Communitech

• Focuses were on server administration, relational database mapping, rapid prototyping, proof of concepts and gamification
• Main project being a 'Foot Sizer' application, by stepping on a pressure mat and playing a game, it accurately measures crucial things such as foot size, foot width, foot type and recommend appropriate shoes.

Apr 2012 – Apr 2013 · 1 yr · Kitchener, Etobicoke, Toronto

• Creation of "IT Order Request System", a web-app for automating and speeding up the process for company purchases (similar to Concur, Expensify)
• First year, over $1 million dollars worth of purchases went through
• Second year, over $3 million dollars worth of purchases went through
• Allowing for cost savings, reducing ordering times, and errors
• Provided troubleshooting and documentation for IT Support
• Revamped MCAP's corporate Intra-net
• Created one centralized location for all employees, worked with every Dept. Lead
• Combined four different intra-nets into one; and depreciating the rest