Dileep Shah

Application Engineer

Oracle•  July 2018 - October 2020

• Revamped and remodeled concurrent programs to determine resources for a particular territory by recognizing, qualifying, and SQL tuning expensive SQL queries to expedite average process time by 50%, generating $70 thousand yearly savings. • Formulated and implemented cancel transaction features to cancel a transaction with one click, eliminating manual adjustments by assimilating with more than 10 customers and higher management and presenting ideas to resolve complications. Upgraded features lessened workaround time from a day to a few minutes, saving on average $30 thousand yearly. • Programmed new enhanced features to boost territory management module’s performance, working closely with customers, product managers, and senior management.

Senior Software Engineer

Infosys Ltd•  February 2016 - July 2018

• Delivered improved SSIS packages compared to some existing markets by implementing table lookups and merges, conserving average data load time from 10 hours to 2 hours for approximately ten million records, generating 1 million USD more yearly revenue. • Transformed, Integrated, and engineered machine learning based micro-services for product recommendation page, boosting product sales twice by identifying individual customer’s interests and recently viewed items producing approximately double profit. • Supervised a newly formed development team to deliver route optimization application’s modules framework using Java, Angular, and web services structure resulting in more prominent client satisfaction.

Northeastern University, Boston

Computer Science, MS•  January 2021 - Present

Courses Taken: CS5010: Programming design paradigm CS5100: Foundation of artificial intelligence CS5800: Algorithms CS6620: Fundamentals Cloud Computing(Current Semester) CS5610: Web Development(Current Semester) Projects: Image Processing Application (January 2021-May 2021): A secure image processing application incorporating an efficient design principle with reduced scope to manipulate code/ data into application to facilitate image processing tasks such as blur, sharpen, pixilation, mosaic, and pattern generation.