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P.Sai Sushmanth

Computer Science undergraduate · AI/ML Developer

Bangalore Urban, Karnataka, India

@p_sai_sushmanth

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About

Computer Science undergraduate with hands-on experience building deep learning and machine learning systems, including CNN-based image classification, graph neural networks, and attention-based sequence models. Skilled in Python, TensorFlow/Keras, and PyTorch, with an interest in applying AI to healthcare and agriculture.

Education

  • Bachelor of Technology in Computer Science and Engineering
    Vel Tech Rangarajan Dr. Sagunthala R&D Institute, Chennai
    Computer Science and Engineering · 2022 – 2026
  • Intermediate
    Sri Chatanya Junior College, Guntur
    MPC · 2020 – 2022

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL CSS HTML Java Python PyTorch Data Science Deep Learning Attention Mechanisms CNN (Convolutional Neural Network)

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub

Languages

Fluent Fluent Comfortable using it for work.
Telugu Speak · Read · Write English Speak · Read · Write
Conversational Conversational Can hold an everyday conversation.
Hindi Speak

Projects

  • Multimodal Deep Learning Framework for Parkinson's Disease Progress Prediction
    Variational Autoencoders, Graph Neural Networks, Attention-based LSTM

    An AI-based system that predicts the progression of Parkinson's disease using clinical, proteomic, and temporal patient data.

  • Multi-Disease Prediction Using Machine Learning Techniques
    Machine Learning

    A machine learning-based system that predicts multiple diseases early by analyzing patient data to support accurate and timely diagnosis.

  • AI-Based Crop Disease Detection and Pesticide Advisor System
    CNN

    An AI-powered system that detects crop diseases from images using CNN-based image classification and recommends the most effective pesticides for timely treatment.

Courses & certifications

  • AINCAT 2025 Practitioner · 2025

⚽ Extracurricular activities

  • Workshops and Webinars Participation

    Actively participated in workshops and webinars conducted by the university, enhancing technical skills, knowledge, and collaborative abilities.

  • International Yoga Day Participation

    Participated in International Yoga Day, promoting health, discipline, and mindfulness.

🎯 Hobbies & interests

  • Reading technology and business articles
  • Fitness/Gym
  • Listening to music

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