I am a Software Engineer, with a Masters in Computer Science and a strong foundation in Data structures, Algorithms, and JAVA, passionate to develop cutting edge technology solutions. I am skilled in application development using JAVA, Spring Boot, MVC Design Pattern, AWS, MySQL, HTML, CSS, Git, CI/CD. I have strong interpersonal and communication skills, committed, result-oriented, and a flexible team player with abilities to implement solutions in complex scenarios.
Automated Clinical System for health check-ups
Conceptualized, designed, developed and deployed the website on AWS for a clinic, which enabled the patients to view doctors near-by based on their pin code and take appointments, developed using JavaScript, HTML, CSS, JSP for the front end and Java for the back end. Established connection to MySQL through JDBC which was used to store the doctor and patient records
Developed order microservices using Spring Boot, Spring JPA, Spring IOC, Spring MVC. Designed new schema with PostgreSQL that followed Normalization. Used Swagger to document endpoints, along with using appropriate HTTP and status codes. Containerized the services using Docker. Used Log4j for logging and tracing java code.
Developed a Java application using Java for image processing using various techniques. Implemented various functionalities for performing, Histogram equalization, zoom-in, zoom-out, Spatial Filtering Restoration, Spatial Filtering Smoothing and Image Compression. Image compression techniques include RLE, Huffman encoding and decoding, LZW encoding and decoding
A machine learning project for Hair and Skin Segmentation using deep autoencoder. Developed deep autoencoder using U-NET model for hair and skin segmentation using Keras. Tested the U-NET model on Celeb-A dataset. Practised data augmentation and transfer learning on the built model. Used libraries such as keras, numpy, sklearn
Designed and developed the demo vehicle using Renesas Microcontroller, installed it with front and back ultrasonic obstacle sensors which sent a message to the front and back vehicle if they came in very close proximity to the demo vehicle. Implemented the message sending through CubeSuite ++ and Renesas Flash Programmer for writing the program onto the Renesas Microcontroller. Utilized mobiles, as vehicles following the demo vehicle with AWS storing a copy of messages sent to them.
