Experience

Smarking Inc.

• United States
• Information Technology & Services
• 1 - 100 Employee

• Co-Founder and CTO

  • Jan 2015 - Present

  San Francisco, CA Data Engineering * Build our first 16 parking system integrations (payments, event streams, sensors, etc.) with pull mode (API, web crawling, etc.) and push mode (upload scripts, email relay, etc.). * Lead development of a Python ETL framework designed for parking data. Support 80+ parking systems and scale to 500+ concurrent ETL jobs connecting to unstable sources with fragmented data. * Guide and support eng team for database sharding (postgres) to support customized complex… Show more Data Engineering * Build our first 16 parking system integrations (payments, event streams, sensors, etc.) with pull mode (API, web crawling, etc.) and push mode (upload scripts, email relay, etc.). * Lead development of a Python ETL framework designed for parking data. Support 80+ parking systems and scale to 500+ concurrent ETL jobs connecting to unstable sources with fragmented data. * Guide and support eng team for database sharding (postgres) to support customized complex data aggregation for 1 billion+ transactions across 2k+ locations. Machine Learning * Build predictive analytics for key parking metrics (occupancy, revenue, transactions). Achieve 85+% R2 accuracy for 80+% locations. * Mentor PhD candidate through internship to develop RNN model that pushes accuracy to 90+% for half of under-performing locations. * Guide eng team to build anomaly detection that alerts parking managers of possible system outages. Achieve 80%+ precision and 95%+ recall. * Build dynamic pricing engine using Tensorflow with reservation data. Optimize 8k+ price points per location per hour. Achieve 40+% online revenue increase for ~80% of locations under contract. Frontend * Build business intelligence dashboard v1 in Angular + CoffeeScript + Gulp. * Lead migration to React + Typescript + Webpack. Devops * Manage AWS resources through Terraform (infra as code). * Integrate and shard Airflow+ECS for ETL and machine learning tasks. Run 1k+ ML tasks per hour in production. * Integrate AWS X-Ray for distributed tracing. Leadership & Communication * Build and support a tech team that solves challenging eng and data science problems at scale. * Understand customer needs to concisely define eng scopes and achieve business goals. * Communicate eng needs, achievements, and challenges within company and with clients and partners. * Manage conflicts and turbulent situations in a fast-growing startup environment. Show less



Facebook

• India
• Banking

• Data Scientist

  • Jun 2013 - Aug 2013

  Menlo Park, CA Data-driven optimization for the personalization of ad contents and frequency in news feeds.



Morgan Stanley

• United States
• Financial Services
• 700 & Above Employee

• Summer Associate

  • Jun 2011 - Aug 2011

  New York City Build mathematical models to consolidate multiple data sources and enhance the accuracy of mortgage pricing.