Feb 2018 – May 2019 · 1 yr 3 mos · Redwood City

• Skills:
• Low Latency Systems.
• MySQL, Vertica, REDIS, Memcache and Other related Softwares.
• Handle Large Volume of Data reliably.
• REAL TIME BIDDING AND AD SERVING SYSTEMS (RTB SYSTEMS)
• Handle 200 Billion Ad requests per day and serve within 70ms of receiving the bid.
• User Profile evaluation, Restriction Evaluation and then Model Evaluation to serve best Ad.
• Servers optimized for minimum latency using Indexed Restriction Evaluation
• Minimum Database Reads while ensuring high quality in Ads served and Inventory.
• Implemented various data structures and pre-computed Hash Sets to further reduce evaluation time.
• FEE PRICING AND LOGGING PIPELINE:
• Implemented Transparent Pricing Framework which allows customers to generate all details about the budget spend.
• Realtime Pipeline with Reliable Design
• Using Hive and Vertica Databases to maintain the Information.
• Write ETL Pipeline Jobs to populate data to the Databases based on Delivery and Logs.
• Use Kafka and Storm to process the Logs in Realtime.
• BUDGET MANAGER
• Most Critical System in the Software Stack
• Real Time System to ensure Controlled Spending based on Available Budgets for Campaigns.
• Use REDIS for storing Available Budgets and Delivery Stats in Real Time.
• Budget Distributed across 1000's of machines intelligently to ensure delivery.

Jun 2017 – Jan 2018 · 7 mos · Bangalore

• CONSOLIDATION OF EXPIRED SNAPSHOTS ON CLOUD USING EC2 INSTANCES
• Rubrik uploads a chain of full and incremental snapshots to Public and Private Object Stores.
• We have implemented a CONSOLIDATOR which launch EC2 instances to merge data
• CHAIN SELECTOR to optimize cost-of-compute vs cost-of-storage.
• 86% Cost Reduction To Company.
• ADDED SUPPORT FOR GOOGLE CLOUD STORAGE ARCHIVAL LOCATION
• Added support for archiving snapshots to Google Cloud Storage using Google Client API.
• Implemented support for Lifecycle Management to reduce costs of Storage.
• Implemented wrappers around Google Client Api to improve the functionality.
• Added Automated tests on Jenkins to ensure functionality in future.

May 2016 – Jul 2016 · 2 mos · Gurgaon, India

• Worked as an intern in the Limestone marketing group.
• Application of Statistical Methods in Algorithmic Trading
• Devised a Regression based trading strategy utilizing ML Techniques.
• Applied various data transformation techniques to improve prediction accuracy.
• Utilized Filter Feature Selection to reduce Computational Overhead.