Jayashree K S
@jayashreeks
Software Engineer with expertise in data development and cloud applications.
What I'm looking for
I am a Software Engineer with about 4 years of experience specializing in data development and cloud-based applications. Currently, I work at JP Morgan Chase & Co, where I have contributed to various projects, including the Insight Store, which generates and collects insights from multiple sources. My role involves ensuring that complex systems interact seamlessly to provide accurate insights to end users, primarily bankers within the organization.
Throughout my career, I have demonstrated a proven ability to quickly learn new technologies and collaborate effectively within teams. I have developed a custom framework for automated data validation using Python, Airflow, and AWS services, and have worked on full-stack applications utilizing Java Spring Boot and React. My commitment to driving company success is evident in my contributions to various projects, including optimizing file upload performance and implementing data ingestion solutions.
Experience
Work history, roles, and key accomplishments
Software Engineer 2
JP Morgan Chase & Co
Aug 2021 - Present (4 years)
Developed and maintained a full-stack application for generating and collecting insights from various sources, including automated, API, and manual insights. Contributed to the UI (React) and backend (Java Spring Boot) of a new domain, integrating a crucial API from a data governance application.
Intern at Samsung PRISM
Samsung R&D Institute India
Jan 2020 - Present (5 years 7 months)
Worked on a project for the classification of video into actions and events, involving data collection, cleaning, labeling, and preprocessing. Trained various deep learning models to classify video activities and explored deployment methods for ONNX/PyTorch models on mobile devices.
Education
Degrees, certifications, and relevant coursework
Samsung R&D Institute India, Bengaluru
BE Computer Science, Computer Science
Worked on a project for the classification of Video into Action and Events (Single Person Activity) where the task was to collect, clean, label, and preprocess the copy-right free dataset and then train different DL models to classify a video to a certain group of activity like Dancing, Singing, Playing Instrument, etc. Also explored various different ways to deploy the trained onnx/pytorch model
M S Ramaiah Institute of Technology, Bengaluru
BE in Computer Science, Computer Science
Grade: 9.4 CGPA
Studied Computer Science with a strong academic record, achieving a CGPA of 9.4. Gained foundational knowledge and practical skills in various aspects of computer science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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