RAMA KRISHNA REDDY MANYAM

Computer science graduate pursuing a master's degree and proficient in C and Python. Demonstrated experience in front-end development. Highly skilled problem solver with a strong ability to collaborate and communicate effectively. Seeking an exciting opportunity to utilize technical expertise and contribute to innovative projects within a dynamic environment.

• Cisco, Programming Essentials in C, Cyber Security
• Coursera, Artificial Intelligence, Data science with math skills
• Simplilearn, Machine learning, Java servlets, Introduction to IoT

Farm to Home: E-commerce application for farmers and customers by
eliminating the middleman | Java, HTML, CSS, Bootstrap, MySQL
To make the strategic decision to eliminate middlemen/agents from agricultural
transactions. This approach aligns with the principles of developing an e-commerce
website by giving pricing and management rights to farmers and customers to get
organic and fresh vegetables at a reasonable cost.

Bi-Modal Transfer Learning for Classifying Breast Cancers via Combined B-
Mode and Ultrasound Strain Imaging | Deep Learning, Python, RGB imaging
The clinical B-mode and SE pictures create a TL-based computer-aided design
framework for identifying breast tumors as normal or benign or hazardous by
creating an ensemble model. The ensemble model which is created by this system
will help detect even the dense breast texture and predict breast cancer more
accurately and efficiently. This model is linked to a Web application for easy
examination by doctors.

Tollgate system | Arduino
Designed and implemented an innovative tollgate system leveraging IoT
technology. Developed sensor-enabled infrastructure for seamless vehicle
identification and counts the number of vehicles entered regularly. This system will
reduce congestion in toll collection processes

* Farm to Home: E-commerce Application for Farmers and Customers
o Published in Advances in Computational Intelligence and Its Applications (Taylor & Francis
Group) | January 2023
o Developed an e-commerce platform using Java, MySQL, and HTML/CSS to connect farmers
directly with consumers, eliminating middlemen in agricultural transactions

* Bi-Modal Transfer Learning for Classifying Breast Cancers
o Published in Breast Cancer Detection Using B-Mode and Ultrasound Strain Imaging
(SpringerLink) | June 2023
o Implemented a deep learning model for cancer detection using combined B-mode and
ultrasound strain imaging.