Automating food-order-taking for restaurants using Google's best large language & speech models

Conversational AI in Google Cloud, building:

• Scaleable, fully-automated voice order taking for restaurants

• Vertex agents - A platform for building and serving production-ready conversational AI apps powered by Google's latest LLMs.

• See https://cloud.google.com/dialogflow/vertex/docs/concept/agents, https://cloud.google.com/dialogflow.

Previously, on Google Play Growth and Monetization teams:

• Designed and launched features in the Google Play Store. Deployed and A/B tested features across tens of millions of users.

• Designed and built automation for regulatory compliance.

Tech includes: Java, TypeScript, Angular, Spanner, many Google frameworks equivalent to Spring, Apache Beam, Hadoop, HDFS, Postgres, Kubernetes, ...

Designed and built features for the Roadie crowdsourced same-day delivery platform, including 2FA, improvements to the pricing algorithm, automation for user notifications and reports, and more. Also designed and built an app from scratch enabling 1-click service deployments to Kubernetes in AWS EKS.

Built APIs in Python (Django) & Ruby (Rails) in Kubernetes on AWS using Kafka and Postgres.

(Acquired by UPS)

• Built microservices in distributed, event sourced architecture on Kafka/RabbitMQ

• Tapped for Site Reliability Engineering team for expertise in observability, reliability, automation

• Built continuously deployed, customer facing web apps from the ground up, and built on large mature systems using Nodejs/Java Spring/Angular

• Contributed to monitoring/observability tools and libraries shared across teams using NestJS, Java/Spring Boot, node/express, Go, using MongoDB, SQL, RabbitMQ, Kafka, Redis

• Reworked lots of complex legacy services onto containers+Kubernetes

Wrote a portable agent for corporate network penetration testing using Golang + Python.