Sai Likhith Kanuparthi is a graduate student at NYU Tandon School of Engineering pursuing a Master's degree in Computer Science. He received his Bachelor's degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Anantapur. He has over 2 years of experience as a full-stack developer and contractor at Oracle India, where he worked on Oracle Cloud Fusion applications and developed test cases with a 98% success rate. He is skilled in Python, Java, C, PL/SQL, Linux and has certifications in Apache Spark, Oracle Java, cyber security, and Oracle University training in PL/SQL, Python and Linux.

1. SAI LIKHITH KANUPARTHI
519, 88th
Street, Brooklyn, NY | (860) 620-4718 | slk522@nyu.edu | LinkedIn: sailikhith96
EDUCATION
New York University, Tandon School of Engineering, New York, NY, US Aug 2019 to Present
Master of Science, Computer Science
Jawaharlal Nehru Technological University Anantapur, Andhra Pradesh, India Aug 2013 to May 2017
Bachelor of Science, Electronics and Communication Engineering
Overall Grade: Distinction
EXPERIENCE
Oracle India Pt. Ltd (Payroll of Trigent Software Ltd.) Sept 2017 to July 2019
(Associate Software Engineer Contractor cum Full-Stack developer)
● Worked for 3 projects simultaneously as a techno-functional consultant which involves both coding in Java, PLSQL,
Python and application knowledge related to Oracle Cloud Fusion Application.
● Handled work that mainly concentrates around Oracle cloud-based application suite named Oracle Fusion, which is
mostly concentrated on Enterprise Resource Planning, database management and Data Analytics.
● Developed numerous test scenarios and test cases and performed all types of testing which include Integration testing,
system testing and component testing with 98% success ratio.
● Interacted with customers at the time of requirement collection. Participated in scrum meetings to get things done
faster and in an accurate manner. Deliverables were made using Agile methodology. This helped us to save time
period of 2 months during the implementation phase according to the contract by implementing without repetitions
in cycles of procedure and thus, customer retention for cloud projects increased by around 10% (approximately)
during the FY18-19.
● Managed the databases of client using Linux and DOS commands. Frequent archiving and cleaning unimportant data
archives on weekly basis by communicating with DBA(Data Base Administration) team improved performance
significantly by 33.3% i.e., 3X faster processing which is extremely required to handle TBs of data processing.
● Involved in various customer interactions during the time of enhancements and upgradations, which will help in better
understanding of the project for which I received appreciation from client during their audit period. This helped
several upgradations to Go-Live time 60% faster than expected.
● Played key role in developing the ERP Dashboard project based on data analytics using Oracle Application Express
as a sub-project from our team at Oracle to our client’s CEOs, where they can see the gist of their business on the go.
This will help the CEOs to monitor their business in a much efficient manner. It is expected to improve business
efficiency by 15%-30% annually.
SKILLS
Languages: Python(Intermediate), Java(Intermediate), C(Expert), PL SQL(Expert), HTML(Beginner), PySpark(Beginner)
OS: Linux, Mac, Windows
Courses (On going): Big Data, Algorithms and Data Structures, Internet Security and Privacy
PROJECTS
“IoTA” - Home Automation and Security system (C, PLSQL, MATLAB) Nov 2016 to Feb 2017
Type- Academic project (4-Member team)
● Worked on providing the automation and security control over their home appliances with the help of android apps
or GSM or Ethernet HTML page.
● Integrated to college wireless network, so that our faculty can use our project. It even works with one-time OTP
authentication. It is 100% efficient while in presence of a strong internet connectivity area and consumes only 100KB
data for a command.
“YuNo” - Gesture controlled robot using pattern recognition (Python) Apr 2017 to Aug 2017
Type- Personal project (2-Member team)
● Implemented a remote-controlled research project, where an RC robot is designed using Arduino board, which
follows the pattern we gave and detects obstacles on the way using concepts of image recognition and data
visualization in it.
● Improved the gesture-recognition efficiency from 70% till 93% by choosing a better-quality webcam and slight
modifications in the code of predictive analysis and increasing no. of images of our hand in various postures.
CERTIFICATIONS
● Apache Spark Essentials for Big Data by LinkedIn Oct 2019
● Oracle Certified Associate Java Programmer (OCAJP) SE8 Dec 2018
● Cyber Security and Malware Analysis by Indian Servers (Level1) May 2016
● Oracle University bootcamp training in PLSQL, Python & Linux Sept 2017