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Directi comprises of a group of tech businesses owned, operated or invested in by Bhavin Turakhia and/or Divyank Turakhia. The Group brand is used by multiple business units that are run independently by their respective management teams, with similar culture and opportunity. 

The Directi portfolio companies comprise of Radix, Ringo, Flock, Zeta and Codechef. Media.net, owned by Starbuster TMT Investments, leverages the Directi brand and culture for recruitment in its India offices. Directi also comprised of BigRock, ResellerClub, LogicBoxes and WebHosting.info which were sold to the Endurance International Group in a $160 million transaction in 2014. 

Across these businesses, Directi employs 1600+ people across 8 offices, with over millions of customers and a group enterprise value of over $1.4 Billion. The company has invested in multiple category leading global brands across business areas as diverse as web presence (domains, hosting, cloud-infrastructure), communication & collaboration (voice and messaging), payments (benefits and compensation) and online advertising.

Unique aspects about Directi:
-- All Directi businesses are bootstrapped. None of the portfolio companies have any external debt or investments.
-- All businesses (barring the newest ones) are profitable, and Directi generates healthy and growing profits and cash flows each year.
-- All businesses are amongst the top 5 globally in their respective space.
-- All of the businesses of Directi are immensely successful, an uncommon occurrence in the startup space.

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Media.net is a leading online ad-tech company that develops innovative products for advertisers and publishers. With over 800+ employees, Media.net is one of top 5 ad-tech companies by market-cap globally.

▪ Working with Ad Exchange Learning team on CTR/CVR predictions using Machine learning frameworks
▪ Built high throughput data pipeline from scratch following lambda architecture 
▪ Owned data pipeline using Kafka, Hive, HBase,  Spark, MySQL, Druid 
▪ Optimized Spark applications to reduce overall time and resource usage 
▪ Developed custom alerts to detect and fix data anomalies on time 
▪ Created centralized systems for maintaining learning model config and backups 
▪ Contributed to learning projects like decision models, dynamic exploration-exploitation