Sriram Thangellapally

Attended SR University

Warangal, IndiaSoftware Development and Artificial Intelligence/Machine Learning
1roles
20skills
2education
5credentials

About

🎓 Completed Bachelor of Technology (B.Tech) in Computer Science and Engineering. Passionate about leveraging technology and data-driven solutions to solve real-world problems. Skilled in Python, SQL, machine learning, and data analytics. Completed a web development internship, contributing to front-end and back-end development. Committed to continuous learning and eager to work on innovative and impactful projects in the tech field.

Experience

Web Developer Intern

Twilearn

4 mos

Engineered front-end and back-end features using HTML, CSS, and JavaScript; designed and managed the application database schema using SQL; integrated third-party APIs to fetch and process external data. Worked on the Smart Community Management System.

Education

SR University

Bachelor of Technology - BTech, Computer Science and Engineering

Jun 2020 - May 2024

SR University

Bachelor of Technology, Computer Science and Engineering (AI&ML)

2020-2024

CGPA: 7.24. Relevant coursework: Object-Oriented Programming, Operating Systems, DBMS, Theory of Computation, NLP.

Skills

Analytical SkillsNetwork ProgrammingPythonSQLMySQLScikit-LearnPower BITensorFlowOpenCVMediaPipeData EngineeringAI&MLETL ProcessesData ModelingComputer VisionHTMLCSSJavaScriptConvolutional Neural NetworksTime-Series Analysis

Projects

Human Activity Recognition

Engineered a data processing pipeline for time-series accelerometer data to classify human activities. Implemented time-series analysis and classification algorithms using Python and Scikit-Learn. Optimized the data pipeline, resulting in a 20% improvement in movement detection efficiency. Technologies: Python, TensorFlow, Scikit-Learn. Date: May 2023.

American Sign Language

Developed a real-time image processing system to interpret and translate American Sign Language gestures from live video streams. Built and trained a CNN using TensorFlow and OpenCV, achieving 97% accuracy in gesture recognition. Technologies: Python, TensorFlow, OpenCV, CNNs. Date: Dec 2023.

Virtual Mouse System

Engineered a real-time gesture recognition pipeline to control a computer cursor using live video input. Used Python, OpenCV, and MediaPipe for hand tracking and cursor control. Optimized image processing to achieve a 25% improvement in cursor movement speed and responsiveness. Date: May 2024.