PARAG KALDATE
Syracuse, NY | (669) 287-0424 | prkldt.25@gmail.com | linkedin.com/in/parag2812/ | leetcode.com/u/algoPeaK/
EDUCATION
Syracuse University, New York Aug 2022 - May 2024
Master of Science, Computer Science. GPA: 3.70/4
(Coursework: Design & Analysis of Algorithms, Object-Oriented Design, Operating Systems, Data Science, DBMS etc.)
.
Savitribai Phule Pune University Aug 2016 - May 2020
Bachelor of Engineering, Computer Engineering. GPA: 8.37/10
EXPERIENCE
Software Engineer - LTIMindtree Nov 2020 - July 2022
● Constructed Java modules for user authentication and access management in a banking application, combining with
IBM's LDAP for user management. Executed robust security measures following Agile practices to efficiently handle user
data and access rights, ensuring protection of sensitive financial operations.
● Optimized performance of the Synchronizer batch process by 17% through refactoring inefficient loops, implementing
connection pooling, and leveraging Java 8 streams. Enhanced efficiency in handling high volumes of user data
synchronization across multiple systems, resulting in better responsiveness and boosted user experience.
● Migrated entire codebase from Java 6 to Java 8, adopting current standards for increased performance and security.
Developed and maintained RESTful APIs using Spring Boot, ensuring data consistency.
Application Developer - NSS VIIT | Apprenticeship Mar 2019 - Apr 2020
● Led a team of 4 in developing a full-stack web app for National Service Scheme, resulting in reduction of proxy
attendance and a 25% increase in member engagement. Focused on backend development using Java and Spring Boot,
designing RESTful APIs and implementing a MySQL database with 10 tables for efficient data storage.
● Accomplished key features such as attendance tracking, 200+ member management, event notifications, digital notepad,
and a feedback system. Utilized Spring Security for robust authentication and authorization, ensuring the security and
integrity of the application, which contributed to maintaining a reliable and stable system.
PROJECTS
Old-Textbooks Management Web-app - Spring boot, Java, Rest APIs, NoSQL
● Developed a web-based Java Application using Spring Boot and Atlas MongoDB, enabling cost-effective buying and
selling of textbooks with a 10% price depreciation at each transaction.
● Designed and wrote RESTful APIs for inventory display, book purchase, and book selling, contributing to project's
success in addressing high cost of textbooks for students.
Parkinson’s Disease severity prediction - Machine Learning, Python
● Engineered an innovative Android application utilizing state-of-the-art deep learning techniques, particularly Artificial
Neural Networks (ANN), for real-time Parkinson's Disease (PD) severity prediction. Devised a robust data pipeline to
extract and preprocess 16 crucial voice parameters from patient recordings, allowing for efficient feature engineering and
model input. Utilized Python.
● Drove significant enhancement in model accuracy by employing a carefully designed ANN architecture that excelled at
capturing intricate patterns within voice data. Achieved about 73 % of accuracy.
TECHNICAL SKILLS
● Programming Languages: Java, Python, C/C++, JavaScript
● Web Technologies: Spring boot, HTML, CSS, Bootstrap4, Tailwind CSS, React.JS
● Databases MySQL, MongoDB
● Others REST API, AWS, MicroServices, GIT, Shell, Object-Oriented Design, Linux
RESEARCH PAPERS
Paper Name: Artificial Neural Network to Prescient the Severity of Parkinson’s Disease | IEEE, Link.
Paper Name: A Comprehensive Study of Prediction of Parkinson’s Disease Using Machine Learning | SERSC, Link.
CERTIFICATIONS
MTA: HTML5 App. Machine Python for Namaste OOP with RESTful API with Getting Started with
Development Learning Beginners React Java HTTP and JavaScript AWS Machine
Fundamentals (NPTEL) (Udemy) (NamasteDev) (Coursera) (Coursera) Learning (Coursera)
(Microsoft)
