Nihar Shah
Overview
3
3
years of professional experience
Work History
Application Developer
Oracle
06.2022 - Current
- Collaborated on the development of Performance Document (Enterprise Application) used by over 9000+ customers, utilizing Oracle's VBCS within the HCM Performance Management team
- Contributed to migrating legacy ADF product to customizable VBCS product, achieving increased user adoption by 14% and contributing to a 22% increase in annual revenue
- Worked on the end-to-end development cycle with customers such as Kroger, Airbus, and Walmart, among others
- Created multiple APIs using Oracle ADF
- Wrote validations; functional and unit tests in Java and XML to test them
- Led the development of test plans and a performance analytics dashboard for all of the product's APIs using Apex and JMeter, enabling real-time data insights.
Extreme Blue Project Intern
IBM
05.2021 - 07.2021
- Created a unified CI/CD pipeline using tekton for all stages of the project lifecycle
- Built DevOps toolchain on IBM cloud containing tekton pipeline with automated security and vulnerability management and industrial standard tasks like Twistlock scan, VA scan, Wicked scan.
Education
Master of Technology in Computer Science -
IIT Guwahati
06.2022
Bachelor of Technology in Information and Communication Technology -
Ahmedabad University
05.2020
Skills
- Windows
- Linux
- C
- Java
- C
- Python
- Javascript
- HTML/CSS
Accomplishments
- Secured All India Rank 312 out of approximately 100,000 candidates in GATE 2020.
Projects
Efficient Parallel and PEM Algorithm for Geometric Query Problem using Segment Trees, Studies the computation, communication, and synchronization requirements related to the construction and search of parallel segment trees in an architecture-independent way., Designed parallel and parallel external memory algorithms are optimal in space and time compared to the corresponding existing sequential algorithms. Political Alliance Prediction, Developed a system that can detect the pattern exhibited by the politicians and predict the alliance formation between politician to party with 90.54% accuracy on Twitter data of Indian politicians., Gephi is used to visualize complex and dense mention and retweet network. Politician embedding generation, classification, deep walk, and CNN are used to further predict party to party alliance formation. Speech based Vowel Recognition System, Developed an application that can predict the vowel based on its phonetic sound using live and pre-recorded voice notes., Achieved 90% accuracy for live recordings and 95% accuracy for pre-recorded voice notes., Linear predictive coding is used to generate cepstral coefficients, LBG algorithm is used to make a codebook, Tokhura distance is used to find the closest vowel.
Timeline
Application Developer
Oracle
06.2022 - Current
Extreme Blue Project Intern
IBM
05.2021 - 07.2021
Master of Technology in Computer Science -
IIT Guwahati
Bachelor of Technology in Information and Communication Technology -
Ahmedabad University