Ankush Goyal

Advise on industry trends in Big Data and help steer the Big Data certificate program.

Zenreach (Series C; $94M raised) is an automated marketing platform for brick-and-mortar businesses that has built attribution technology to close the loop between online advertising and offline sales. We're backed by Founders Fund (Peter Thiel), 8VC (Joe Lonsdale), First Round, Bain Capital, Maverick & SV Angel. Responsible for overall architecture, technology roadmap & R&D opex/ capex.

Formerly, RelateIQ - Acquired by Salesforce.com in 2014 for ~$400M. Was rebranded to SalesforceIQ at Dreamforce, 2015. I was an early engineer at RelateIQ, and led platform scaling efforts after acquisition – wherein we grew the company by 5x (~250 employees), customer base by >30x in ~2 years. During my tenure, I helped scale the company across all the dimensions of people, process & products and my responsibilities grew along with the company into senior engineering leadership role. I headed SalesforceIQ CRM product engineering efforts during last few months of my tenure. SalesforceIQ is now called Salesforce Essentials and underlying data platform is part of Salesforce Einstein. • Led the engineering effort to move a vertically scaled architecture to a horizontally scalable architecture (large scale in-flight re-architecture) to be able to sustain the growth • I was responsible for overall Platform Roadmap & Execution -  Realtime Data Ingestion, processing, storage, archival, indexing & serving platform for communication data (emails, calendar events, contacts, calls, etc.)  Multi-DC Architecture  Authentication & Authorization  3rd party integrations (pardot, zapier, salesforce, hubspot, etc.)  Observability (Telemetry) – Monitoring, Alerting, Logging & Distributed Tracing • Architected & Built Foundational Contact System - built a distributed graph based contact system with attributes like Data Lineage, Deduping, Merging, Unmerging, Provenance, etc. and migrated existing system to new system in-flight • Helped scale the processes around engineering hiring, performance, project & product management, training & mentoring • Maintenance/ Upgrade, Scaling and Capacity planning of infrastructure and data systems including - Cassandra, Kafka, Storm, Zookeeper, ElasticSearch, Postgres, etc • Migration to an event driven, microservices based architecture

(Formerly RelateIQ - Acquired by Salesforce.com in 2014 for ~$400M) Data Products + Data Infrastructure + Scaling Formerly, RelateIQ - Acquired by Salesforce.com in 2014 for ~$400M. Was rebranded to SalesforceIQ at Dreamforce, 2015. I was an early engineer at RelateIQ, and led platform scaling efforts after acquisition – wherein we grew the company by 5x (~250 employees), customer base by >30x in ~2 years. During my tenure, I helped scale the company across all the dimensions of people, process & products and my responsibilities grew along with the company into senior engineering leadership role.

• Worked on all aspects of catalog taxonomy and classification. 1\. Created complex rule-based system/state-machine to aide in bulk migration of taxonomy. 2\. Worked on a realtime data system to provide classification as a service. • Worked on improving image experience (quality/ content/ delivery) across our catalog. 1\. Scaled our legacy image processing systems to ~2X throughput with same resources (used RabbitMQ for the queue-ing system). 2\. Created a system to run experiments and gather image features that correlated with higher interaction. 3\. Created a prototype system to find watermarks on images. • Platform/ Architecture improvements. 1\. Migration of Catalog from Oracle to Hbase. 2\. Introduced and evangelized micro-services architecture. 3\. Introduced and evangelized Monitoring. (Graphite + StatsD) 4\. Batch/ MR jobs (Spring-batch, Hadoop). 5\. Event Driven near-Realtime Pipelines (Kafka + Storm). • Designed & Implemented a system for near real time syndication of our catalog to Facebook. 1\. Created a robust/ fault-tolerant distributed system/ pipeline for realtime events (100s of millions of catalog-feed deltas/ day) from Oracle To Hbase To Facebook (Technologies used: Hadoop + Kafka + Storm + Jetty + Zookeeper + Oracle-AQ + Graphite). • Worked on Internationalization of Catalog. • Worked on an Experimentation Framework. • Competitive Analysis of Retargeting Space. • Implemented Behavioral retargeting services to provide better marketing to merchants. • Wrote multiple data access apis and map-reduce jobs for ETL • Developed a personalization algorithm for Travel vertical to provide more relevant & personalized results. • Worked on a travel merchant dashboard for realtime bidding and marketing

• Wrote the backend code that manages Air Cancellations & Exchanges. • Wrote the backend code that manages TSA information. • Did a ton of rewrite & refactoring to optimize for performance and increase maintainability. • Served as Scrum Master for multiple iterations.

• Successfully developed & presented a Deep Web Mining prototype to crawl, analyze and store data hidden behind web forms. • Delivered 5000 unique datapoints as proof of concept with 2 days of crawling (it used to take few months to get that many new data points)

Analysis of CRM software firms.