Languages: Java, Python, Matlab, R
Frameworks: Tensoflow, PyTorch, keras, OpenCV, Springboot, JUnit, Mockito
Dev Tools: Git, GitHub, BitBucket, Jira, Jenkins
Other Skills: Effective Communicator, Creativity, Teamwork, Resilient
Software Engineer, NielsenIQ
[July, 2023 - Present]
- Enhanced project functionality in alignment with specified requirements, leveraging Spring Boot and Java for backend development
Software Engineer Intern, NielsenIQ
[Feb, 2023 - May, 2023]
- Conducted comprehensive unit testing using JUnit, Springboot test and Mockito for pre-existing codebase thereby increasing the overall code coverage
Data Science Fellow, Launchpad.AI
[July, 2022 - Sept, 2022]
- Enhanced the Personalized Email Promotion Recommendation System through the implementation of a sophisticated wide and deep neural network architecture. Demonstrated proficiency in discerning latent customer and campaign attributes to optimize offer prediction capabilities
Instance Segmentation in Very High Resolution Remote Sensing Imagery Based Using Deep HRNET
- The project combines boundary shape analysis and segmentation for precise instance segmentation in VHR remote sensing images along with determining segmentation difficulty and generating a shape-penalty map from the label image through boundary shape analysis
B.Tech Computer Science Engineering (Specialisation in AI)
Amrita Vishwa Vidhyapeetham [July, 2019 - August, 2023]
Coursework: Mathematics for Intelligent Systems, Deep Reinforcement Learning, Deep Learning in Signal and Image Processing, Object Oriented Programming(Java,Python), Data Structures and Algorithms
Orchestrating Resilient Communication Topology for Smart Connected Cities [IEEE | COMSNETS 2022]