Jeevika Kancherla
About Jeevika Kancherla
Jeevika Kancherla is a Research Data Analyst at NYU Langone Health with a background in computer engineering and experience in AI and deep learning projects.
Current Position at NYU Langone Health
Jeevika Kancherla currently works as a Research Data Analyst at NYU Langone Health in the United States. Her role focuses on analyzing data related to health and medical research, ensuring the accurate interpretation and application of data in research projects.
Teaching Assistant at NYU Courant Institute
From 2023 to 2024, Jeevika Kancherla served as a Teaching Assistant at the NYU Courant Institute of Mathematical Sciences in New York. During her 5-month tenure, she assisted in the instruction of mathematical sciences courses, providing support to professors and students.
Software Engineer Intern at Tech Mahindra
In 2021, Jeevika Kancherla interned as a Software Engineer at Tech Mahindra in Hyderabad, India. During her 5-month internship, she gained experience in software development, contributing to various engineering projects.
Education Background
Jeevika Kancherla completed her Master's degree in Computer Engineering at New York University from 2022 to 2024. Prior to that, she earned a Bachelor of Technology (BTech) in Computer Science from Vardhaman College of Engineering (VCEH) between 2017 and 2021.
Research and Project Contributions
Jeevika Kancherla has made significant contributions to several high-impact projects and research initiatives. She contributed to a paper for the International Stroke Conference focusing on advanced cerebrovascular ischemia research. She also led the development of a customer complaint processing system utilizing AWS services and GPT APIs for sentiment analysis. Additionally, she evaluated the resilience of large language models to cyber threats using tools like PromptBench and JAILBREAK, and integrated AWS ElasticSearch and Rekognition into a photo search application. Her projects also include architecting a serverless chatbot with Amazon Lex, and developing a Dockerized To-Do application using Flask and MongoDB.
Expertise in AI and Deep Learning
Jeevika Kancherla's expertise extends to AI and deep learning. She has demonstrated her skills through projects such as AI-driven 8-bit LoFi Music Generation and CIFAR-10 image classification using an optimized ResNet architecture. These projects highlight her proficiency with advanced AI-based systems and machine learning models.