Mike Conti Email & Phone Number

Seattle, Wa, Us

Currently a tech lead in an org of ~100 focused on massive distributed systems scale, organizational direction, and mentoring. We are an AI Platform org, dealing with petabytes of unstructured data and 100Ks-1Ms of TPS per service. I worked to get Alexa off the ground pre-launch and have been a key player & founding member on most teams of my organization as we grew from ~10 to ~100 over the last 8 years.

Seattle, Wa, Us

Lead a team of 10 to research, design and build a forward looking Big Data Policy & Permissioning System. Brought permissioning to a centralized easy to manage location to monitor and push updates across several organizations. Initially used for GDPR, HIPAA, COPPA, enabling Amazon's Alexa to enter into new industries and third party contracts. ▪ Worked across several orgs & businesses e.g. Legal, Infosec, Health, 3P ▪ Deployed to 10s of services, processing 1,000,000s of transactions per second ▪ Levarages newer industry permissioning standard of Attribute Based Access Control ▪ Consists of multiple services + daemon

Seattle, Wa, Us

Helped science team take Alexa's first conversational AI proto-type from Alpha to Production. Mission critical project, gave status updates to a now S-Team member.▪ Single Engineer embedded in science team focusing on conversational artificial intelligence.▪ Participated in roadmap reviews, pushing for technical debt reduction, application monitoring and forward-looking designs▪ Introduced team to design reviews, proposed & lead re-built of back-end context indexing system for agents knowledge base▪ Helped team with software best-practices▪ Set up proper scrum board and sprint schedule▪ Built metrics agent for application monitoring▪ Set up dashboards / alarms / on-call rotation

Seattle, Wa, Us

Lead Visionary and Implementer of an Automated Dataset Generation Framework used for most production Alexa models. Produced publication and gave tech talk at Amazon Machine Learning Conference 2017 with 2K+ audience.▪ Worked across science orgs to break down machine learning data preparation into service components▪ Built in security with sign-off from Amazon's InfoSec for highest order sensitive data processing▪ Datasets built from Alexa interactions in real-time - streaming▪ Takes advantage of Radix sort, removing necessity of map-reduce for many use-cases▪ Easily define custom transformation logic per plug-in and configure partitioning / hierarchy▪ Ability to mix and match plug-in components to form new datasets▪ Built in Java / AWS. Replaced manually run pyspark / scala scripts

Seattle, Wa, Us

Lead Developer of Alexa Guaranteed Data Deletion from distributed data stores▪ Operates at 1000's of TPS across 10s of systems▪ Supports coarse and fine-grain data deletion (e.g. Customer vs. Interaction)▪ Implements tomb-stone functionality▪ Uses DynamoDB for work distribution / chunking / mid-process failure recovery▪ Uses SQS / SNS for delete propagation to multiple systems

Seattle, Wa, Us

Lead developer on Alexa data gathering Android app used for groundtruth to enable training of early models prior to launch.▪ Deployed to 100s of users (both internal and external)▪ Worked with several orgs - e.g. Firmware, ASR, Ops▪ Built in Android on Fire Tablets, pairs with Alexa devices▪ Linux / Bash uploader utility, configurable sessions in JSON