Rushikesh Tapdiya
@rushikeshtapdiya
Software Engineer at Persistent Systems
Pune, Maharashtra
Rushikesh Tapdiya is a Computer Engineer with a strong academic background (9.5 CGPA) and practical experience in developing AI/ML solutions. He has worked as a Software Engineer and Research Intern, focusing on image segmentation, object detection, and predictive modeling. His expertise includes utilizing frameworks like Keras, PyTorch, and Flutter to build complex applications, including facial feature reconstruction and plant disease identification systems.
Experience
Software Engineer
Persistent Systems
Developed Image Segmentation Pipeline for the identification of different types of White Blood Cells in the Lab Stain Images. Analyzed the Persistent Employee Data and developed Machine Learning Model for the prediction of Employee attrition for a particular employee. Top 10 reasons were given for the cause of attrition. This enabled company to take preventive measures for prevention of Attrition. Created a Object detection pipeline to segment and return the count of different types of cells in Lab reports. The pipeline reduced the overhead of counting these cells manually and labelling them.
Research Intern
Centre for Police Research
Developed a application for the real time tracking of movement in their evidence office. DeepSort Algorithm in combination with YoloV4 algorithm was used for the tracking of objects.
Education
Pune Institute of Computer Technology
B.E Computer Engineering
Computer Engineering
Licenses & Certifications
Deep Learning Specialization
Coursera
Machine Learning using Python A-Ztm
Udemy
Computer Vision from Hero to Master
Udemy