Venkata Haritha Sai Sri Animilli
Denton, Tx, ****1 ****************************@**.***.***
www.linkedin.com/in/avharithass
CAREER PROFILE:
Aspiring Artificial Intelligence professional seeking for an opportunity to apply academic knowledge to research/real-world challenges and contributing to organizational success. EDUCATION:
MS in Artificial Intelligence (Jan 2025 – Present) University of North Texas, Denton, Texas
Bachelor’s in Computer Science (Aug 2019 – Aug 2023) Manakula Vinayagar Institute of Technology, India CGPA : 3.16 / 4 EXPERTISE:
Machine Learning : Supervised Learning, Unsupervised Learning and Reinforcement Predictive Analytics : Regression model, Decision Tree and Clustering Algorithm Artificial Intelligence : Generative Adversarial Networks(GAN), Search Engine Digital Assistance and Robotics TECHNICAL SKILLS:
Programming & Frameworks: Java, Python, SQL, HTML, CSS, DART Artificial Intelligence & Machine Learning: TensorFlow, Pytorch Cloud & Deployment: AWS, Google Cloud
PROJECTS :
● Gesture Controlled Contactless Elevator - Developed a Gesture-Controlled Contactless Elevator to enhance hygiene during the COVID-19 pandemic by minimizing physical contact. Utilized computer vision (OpenCV) for hand gesture recognition, integrated with microcontrollers (Arduino/Raspberry Pi), and achieved 95% accuracy. Designed, implemented, and deployed the system on a scalable prototype as part of a team.
● Student Result Management System - Developed a Student Result Management System to calculate student results and grades, streamlining evaluation processes for schools and colleges. Built using Python, SQL for database management. Designed, implemented, and deployed the system as a solo project.
● Smart India Hackathon (TO DEVELOP A SYSTEM ELECTRONICALLY DETECTING OCCUPANCY OF BEDS IN HOSPITALS) Developed a portal for the Government of Rajasthan to electronically detect and track hospital bed occupancy, improving healthcare management. Utilized PHP, MySQL, and HTML/CSS for the portal, integrating real-time data updates and user-friendly dashboards. Collaborated as a team to design, develop, and deploy the system successfully.
PUBLICATIONS:
● Jayapradha, J., B. Malathee Kumari, R. Divyadarshini, and A. V. Haritha Sai Sri. "Text to Image Synthesizer Using Generative Adversarial Networks." Journal of Data Acquisition and Processing 38, no. 2 (2023): 81–95. https://doi.org/10.5281/zenodo.7766300.
● Text to Image Synthesizer using GAN - Developed a deep learning model using Generative Adversarial Networks
(GANs), implementing StackGAN/AttnGAN architectures to generate realistic images from textual descriptions. Trained on datasets like MS-COCO and CUB Birds, achieving enhanced performance through hyperparameter optimization.
WORKSHOP & TRAINING
Attended World’s largest hands on workshop on “DART PROGRAMMING LANGUAGE”, Puducherry.
● Gaining practical experience in its applications and development environment.
● I gained hands-on experience with Dart's robust features like null safety, asynchronous programming, and rich libraries while exploring its development environment. Additionally, I worked with tools like the Dart SDK and frameworks like Flutter to build efficient, cross-platform applications. CERTIFICATIONS:
● Amazon Web Services - Cloud Foundations.