Age Progression and Regression using cycleGAN

Technologies: HTML, CSS, JavaScript, Python, Deep Learning, Data Analysis

In this project we have developed a novel approach to transform facial images to simulate age progression and regression. By leveraging cycleGAN and deep learning techniques, their research contributes to advancements in the field of image transformation and has potential applications in areas such as entertainment, forensics, and facial recognition.

Clinic Management System using Java Spring Boot

Technologies: Spring Boot, Java, HTML, CSS, Javascript.

Created a clinic management system in which user can login as a doctor or a patient respectively. Depending on user he can check medicine availability or can check doctors availability.

Link to project

Age Progression and Regression using cycleGAN

Authors: Vaibhav Parate, Arka Dey, Manas Bhandarkar, Saadiya Dafedar, Satishkumar Chavan

Conference: 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)

Date of Conference: 07-09 October 2022

Date Added to IEEE Xplore: 12 December 2022

Link: Read the publication

InternDevArena Solutions

Developed dynamic and user-friendly webpages using ReactJS, collaborating with an Indo-Sweden based company.

Designed intuitive user interfaces and implemented responsive designs for optimal user experience.

Utilized ReactJS components and libraries to create interactive and visually appealing features.

Implemented efficient data management and state handling for smooth data flow and synchronization.

Conducted thorough testing, debugging, and integration of backend APIs, ensuring stable and bug-free products.

Java DeveloperMUFG Pension & Market Services

Improved API performance by 30% by developing and maintaining robust APIs using Java technologies, including Spring MVC, and delivering critical features that refined system functionality and reliability.

Engineered fault-tolerant microservices leveraging Spring Boot, Hibernate, and JPA; enhanced system scalability to handle 50,000 concurrent users, guaranteeing consistent performance during peak loads.

mproved database performance by 40% by fine tuning SQL queries in existing stored procedures, resolving performance bottlenecks and data inconsistencies in Oracle SQL

Supported a front-end application by resolving critical production bugs, achieving a 95% SLA, using expertise in React.js.

SSCSai English School

Percentage- 91.40%

HSCModel College of Science & Commerce

Percentage- 87.57%

Electronics & Telecommunication EngineeringDon Bosco Institute Of Technology

CGPI - 8.89