Saaketh Gadepalli

Computer science undergraduate specializing in artificial intelligence and machine learning, with a focus on healthcare applications. Proven experience in developing AI-powered applications and full-stack web solutions, delivering production-ready software systems. Strong commitment to leveraging intelligent technologies for solving healthcare challenges, particularly in medical imaging and bioinformatics.

• Solved 1,232+ problems on CodeChef, earning a Blue-rated profile and the Silver Badge through consistent competitive programming.
  
  Solved 350+ problems on LeetCode, strengthening expertise in Data Structures, Algorithms, C++, and Python.
  
  Built multiple AI-powered applications spanning Natural Language Processing, Computer Vision, Medical Imaging, and Explainable AI.
  
  Actively pursuing research in Bioinformatics, Computational Biology, and Explainable AI for healthcare applications.
  
  Self-learning Mandarin while continuously expanding expertise in Machine Learning, Deep Learning, and Full-Stack Development.
  
  Comfortable communicating in English, Hindi, Telugu, and Tamil, with beginner-level proficiency in Mandarin.

• CS50: Introduction to Computer Science, HarvardX
• MongoDB Basics for Students, MongoDB
• Git & GitHub Crash Course, Udemy
• Web Development Bootcamp, The Complete 2024 Web Development Bootcamp - Udemy

AI-Based Leukemia Letection System

Python | TensorFlow | CNN | OpenCV | Explainable AI | Medical Imaging
▪ Developed a deep learning model for automated leukemia detection from microscopic blood smear images, integrating Grad-CAM visualizations to enhance model interpretability and support accurate clinical diagnosis.

Colorectal Polyp Detection and Image Enhancement

Python | TensorFlow | OpenCV | U-Net | Deep Learning | Medical Imaging
▪ Designed an AI-assisted pipeline for colorectal polyp detection using advanced image enhancement, segmentation, and deep learning techniques to improve early cancer screening accuracy.

Multi-Cancer Detection with Explainable AI

Python | TensorFlow | CNN | Keras | Grad-CAM | Transfer Learning
▪ Built a deep learning framework for multi-cancer classification from medical images, incorporating Explainable AI to visualize prediction regions and improve model transparency.

Diabetic Retinopathy Detection

Python | TensorFlow | EfficientNet | OpenCV | Deep Learning | Computer Vision
▪ Developed a transfer learning model for automated diabetic retinopathy detection using retinal fundus images with optimized preprocessing and feature extraction techniques.

AI-Based Disease Prediction System

Python | Scikit-learn | XGBoost | Flask | Pandas | Machine Learning
▪ Developed predictive machine learning models using patient clinical data to estimate disease risk and support healthcare decision-making through comparative algorithm analysis.

SmartReview: Retail Feedback Sentiment Analyzer

Flask | Python | NLP | TextBlob | SQLite | HTML | CSS | WordCloud
▪ Built an AI-powered sentiment analysis platform that classifies customer reviews, generates automated summaries, extracts keywords, and visualizes customer insights through interactive dashboards.

Medical Report Analysis Using Large Language Models

Python | Transformers | Hugging Face | NLP | Flask | SQLite
▪ Developed an NLP-based application for medical report summarization, clinical entity extraction, and healthcare document analysis using transformer-based language models.

Real-Time Bengaluru Insights: Intelligent City Dashboard

Python | AI/ML | Clustering Algorithms | Flask | Maps API | Data Visualization
▪ Developed an AI-powered smart city dashboard integrating GPS, traffic, emergency, and citizen-generated data to identify congestion hotspots and support real-time urban monitoring.

Student Utility Web Application

Flask | Python | SQLite | HTML | CSS | JavaScript | Authentication
▪ Developed a full-stack web application featuring secure authentication, GPA calculation, task management, database integration, and a responsive interface for student productivity.

E-Commerce Platform with Admin Dashboard

Node.js | Express.js | MySQL | EJS | HTML | CSS | JavaScript | REST API
▪ Developed a scalable e-commerce platform with inventory management, shopping cart, order processing, secure authentication, role-based access control, and an integrated administrative dashboard.

• Active Competitive Programmer
• AI & Healthcare Research Enthusiast
• Hackathon Participant
• Open Source Learner
• Technology Community Member