Key activities include changing diapers.

Architected and built super-scalable Marketing Automation Platform with Serverless Technologies:- Fault tolerant system which handles failures, retries to fix and reports in the monitoring dashboard- Modular event driven architecture, where workloads split and execute concurrently. The system can process 100 million data points within a minute.- Dedicated namespace for each client's data that remain isolated from each other- APIs standardized by swagger specs, exposed to internal tools for configuration and management- Sophisticated logging systems to spot anomalies and monitor performance (log-based metrics)- Cost effective system that is billed based on usage, built with a lean team- Google App Engine, Datastore, Cloud Functions, Cloud Storage, Cloud PubSub, BigQuery, CockroachDB, Google Cloud Log and Monitoring

Key activities included spending time with family and playing God of War!

Built enterprise class platform for marketing analytics/reports. Apart from managing a small team during the day and being a Batman inside a tmux at night:- Built and managed a scalable HA Hadoop cluster(HDP) on AWS- Architected and deployed distributed tools with Ansible- Built pipelines to import data from different sources using Airflow with custom airflow operators - Wrote softwares to generate super huge data feeds (over 50 million rows) on Hadoop/Python - Provided right set of tools to data scientists for analysis purpose (Presto, RServer, Hue, etc.) - Constantly evaluated different tools over time, picking the right tool for the right jobBuilt tools for online marketing automation, report generation for analysis, etc. - Worked closely with Facebook solution engineering team on their new marketing API - Built tools which pause/start campaigns for campaign performance optimization - Built tools to generate reports for analysis - Built in-house trackers that can handle about 35-60 Million hits a day for the optimization team - Generated complex reports from the big data gathered by the tracker using MapReduce jobs and DataFrame (Pandas)

Manage front end changes for Lazada Thailand

Developed and launched new features, and maintained entire stack: - Developed the course platform to publish online course videos. Tracked progress of watch history using Vimeo's API.

Built a portal for students to get internships. The portal is powered by CodeIgniter, Doctrine ORM, MySQL running on CentOS, Apache web server. - Maintained the entire server stacks and backup- Managed the front end

Managed server side stacks and products code repository: - Develop and maintain API for the mobile site/app

Designed website and online applications