About

Adarsh Sajjan is a skilled software engineer with 3.70 years of experience in developing software applications. He is competent in Java, Spring, MySQL, MongoDB, Messaging Systems, and Micro Services Architecture. Adarsh graduated from the prestigious Indian Institute of Technology, Kharagpur, with a Bachelor of Technology degree in Electrical Engineering. He is currently pursuing a Master of Science in Computer Science at Arizona State University with an emphasis in Algorithmic Theory, Programming, and Distributed Systems. Adarsh has worked as a Senior Software Developer at Capillary Tech, where he moved multiple points to Asynchronous flows using RMQs and pitched the object memory management to increase capacity by 300%. He also used Dead Letter Exchanges(RMQ) to implement automated retrial, redelivery in messaging pipelines to reduce delivery error rate to ~ 0%. Adarsh also architected and built the CRM framework including external gateways to handle SMSs in compliance with new Government regulations. He eliminated the manual overhead and reduced error rates down to 0% through this new SMS delivery framework for more than 340 clients. Additionally, he designed and developed the product to integrate client’s social accounts and pages to create and publish Facebook Campaigns, AdSets, Ads. Adarsh has also worked as a Software Developer at Capillary Tech, where he developed REST APIs for the migration of MySQL schema data to Mongo documents to handle unstructured data more effectively. He reduced response times by 80% to 400ms by identifying and addressing unresponsive areas and implementing caching, bulk APIs. Adarsh also designed and developed AWS Lambda functions for new SMS gateway service using Pinpoint, DynamoDB, and Dagger 2 Framework. He integrated the Intelligence based Engagement framework to target customers based on dimensions like Product, Store, Time. Adarsh formulated and developed a pipeline through this framework to deliver messages via channels like Facebook, FreshService, FTP, etc. Adarsh has also worked as an Intern at Ogha Technologies, where he developed Classification models for determining the annual performance of the BSE 500 stocks using Random Forests with an accuracy of 79%. He built Monte Carlo model for estimating Value at Risk (VaR) and Compound Annual Growth Rate (CAGR) for indices for the given market conditions. Adarsh also developed an algorithm for Auto Rebalancing a portfolio of securities by using the most negatively correlated stocks of the model portfolio. He used Newspaper to