Vankudothu Sai Kiran

Experienced in Deep Learning, Data Analysis, and Federated Learning, with a strong focus on building efficient machine learning systems and intuitive web applications. Capable of applying advanced technologies to develop practical, real-world solutions

Vankudothu Sai Kiran

About Me

I am a dedicated and ambitious Computer Science student with a specialization in Data Science at B V Raju Institute Of Technology. My journey in technology is driven by a fascination with the power of data and the elegance of well-crafted software.

My research experience at IIT Hyderabad has allowed me to dive deep into cutting-edge topics like Federated Learning and Vision Transformers, particularly in the context of medical imaging. I am equally passionate about web development, where I enjoy building full-stack applications that are both functional and user-friendly.

I am a quick learner, a collaborative team player, and I am always seeking new challenges to expand my knowledge and skills.

Education

2022 - 2026

B V Raju Institute Of Technology, Medak

B. Tech in Computer Science and Engineering (Data Science)

CGPA: 8.81/10

2020 - 2022

Prathibha Junior College, Suryapet

XII (Intermediate) MPC

Grade: 980/1000

Research Experience

June 2025 - Present

Research Intern

IIT Hyderabad

  • Conducted research on Federated Learning and Domain Adaptation techniques using Vision Transformers for robust and privacy-preserving medical image classification.
  • Applied deep learning techniques for intermediate representation extraction and classification across decentralized clients under both IID and non-IID settings.

Projects

Federated Vision Transformers

Implemented a Federated Split Learning framework combining ViT and ResNet for privacy-preserving medical image classification.

PyTorch timm ViT Federated Learning

MCQ Generator

A Flask web app that automatically generates MCQs from text, URLs, or files using NLP and deep learning.

Flask spaCy TensorFlow Streamlit

Protein 3D Structure Interface

A web tool to convert FASTA sequences into interactive 3D protein models for accessible structural analysis.

Streamlit Python PyMOL

Technical Skills

Languages

Python, Java

Web Development

JavaScript, React, Tailwind CSS, Flask, Streamlit

Databases & Backend

MySQL, MongoDB, Firebase, Supabase

ML & Data Science

NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch

Certifications

Machine Learning & Deep Learning

Stanford Deep Learning AI

Advanced Data Analytics

Google

Full Stack Development

Meta

Get In Touch

I'm currently looking for new opportunities. My inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Email Me