About
I'm a Computer Science graduate student with a passion for Computer Vision. I thrive on exploring diverse domains within the ever-evolving realm of Computer Science, believing in the power of learning through hands-on experience. My journey began as a Software Developer, but I've since embraced opportunities in Machine Learning, Computer Vision, and Data Science.
This page offers a glimpse into my work in these fields, and I'm committed to expanding my technical expertise. Feel free to explore my resume for a more summarised overview.
Research experience
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Research Assistant
2023 - 2024
Arizona State University w/ Mayo Clinic
Researched Medical Imaging using modern computer vision and deep learning techniques. Focused on MRI image denoising through innovative methods like diffusion and vision transformer models.
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Software Developer
2021 - 2022
IIST - Indian Space Research Organisation, India
Researched on improving hologram generation with deep learning techniques for versatile space exploration and land-rover missions, eliminating the need for lasers and physical equipment.
Work experience
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Technology Developer - BA4
2024 - Present
Barclays, Whippany
Implementing dynamic configuration management for a Kafka-based data streaming platform, improving CI/CD pipelines using GitLab and Chef, and working on integrating GenAI solutions for Enterprise Data Platforms.
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Summer Developer Analyst
2023 - 2023
Barclays, Whippany
Developed and deployed NLP chatbots to improve JIRA error reporting. Designed a queue-based system library and implemented MS Teams notifications with Apache Kafka, optimizing connectivity and collaboration
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Software Developer
2021 - 2022
Sabre, India
Worked on migration of various data management platforms to Google Cloud. Improved APIs, designed efficient cloud architecture, and developed automated pipelines for optimized data management and seamless integration with legacy systems
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Software Developer
2020 - 2021
Publicis Sapient, India
Key contributor to GameStop's digital transformation, maintaining zero downtime during peak sales. As a full stack web developer, deployed new features built using Saleforce Cloud Commerce and Spring microservices and optimized website functionality using Google Analytics insights.
Education
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Masters of Science in Computer Science (Thesis)
2022 - 2024
Arizona State University
GPA: 4.0/4.0
Specializtion - Artifical Intelligence
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Bachelor of Technology in Computer and Communication Engineering
2016 - 2020
Manipal Institute of Technology
GPA: 8.69 / 10.0
Specializtion - Big Data
Awards
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Best Paper Award at 1st International Workshop on Generalizing from Limited Resources in the Open World (GLOW)
International Joint Conferences on Artificial Intelligence (IJCAI 2023)
For the paper Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning
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Winner of Flipkart GRiD - Teach the Machines Challenge
Flipkart
Bagged the first position in Flipkart's Flagship Engineering Campus Challenge under the Machine Learning Quiz Category
Certificates
Deep Learning Specialization | |
DeepLearning.AI through Coursera |
Introduction to Data Science in Python | |
University of Michigan through Coursera |
Machine Learning | |
Standford University through Coursera |
Volunteer
Interests
Computer Vision |
Data Mining and Analystics |
Machine Learning and Operations |
Software Development |
Cloud Architecture and Designing |
Photography |