Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Affiliations
Mini Project
Timeline
Generic

Srinivasa Supreeth Yenisetty

Hyderabad

Summary

A proactive AIML student with internship experience in web development. Gained hands-on skills in independent project work while collaborating and communicating effectively with cross-functional teams.

Overview

1
1
Certification

Work History

Intern

Independent
Hyderabad
  • Developed a food delivery website using front-end technologies.
  • Skilled in using database management systems for efficient data storage and retrieval. Able to apply PHP and JavaScript to improve website functionality and interactivity.
  • Gained practical experience by actively participating in company projects, observing processes, and collaborating with teams to understand and contribute to key operations.

Education

BTech - Computer Science With AIML

Chaitanya Bharati Institute of Technology
Hyderabad
06-2026

Skills

Technical Skills:

Web Development

Data Structures

Python

C

Object-Oriented Programming

Design Thinking and Artificial Intelligence

Non Technical Skills :

Event Management

Leadership

Excellent Communication Skills

Problem Solving

Team Management and Time Management

Certification

  • C foundation Certificate
  • Web Programming Certificate
  • Artificial Intelligence Primer Certification

Accomplishments

  • Secured one of the top 3 positions in National Robotics Events at prestigious institutions including IIT, SNIST, IIIT-H, BITS-H, and JNTUH.
  • Participated in the NASA Space Apps Challenge and was selected as one of the 900 nominees worldwide.

Affiliations

  • Vice President at Cbitalks Club
  • Team head at the Robotics and Innovation Club
  • Joint Secretary at Neural Nexus Club

Mini Project

  • Designed and implemented a multi-input deep learning model combining word-level and character-level embeddings, statistical analysis, and n-gram features to classify ciphertexts by encryption algorithm (e.g., AES, DES, RC4) Integrated residual connections and multi-head attention into a bidirectional LSTM framework to enhance contextual representation Applied entropy-based heuristics to detect encoding types and estimate algorithmic complexity. Performed a robust evaluation using stratified k-fold cross-validation, optimizing model generalization with early stopping and learning rate schedulers, and leveraged TensorFlow, Keras, and Scikit-learn to build and fine-tune the system This project demonstrates expertise in language modeling, sequence learning, and AI system engineering, all crucial for applied research in LLMs and Agentic AI

Timeline

Intern

Independent

BTech - Computer Science With AIML

Chaitanya Bharati Institute of Technology
Srinivasa Supreeth Yenisetty