Suneel Kumar Prathipati

Driven Computer Science graduate student and Software Developer Intern with experience in full-stack application development. Developed scalable backend services and RESTful APIs, focusing on AI-driven solutions. Eager to apply technical skills in Python, Java, and React/Redux to enhance fintech and insurance systems throughout the software development life cycle.

• AI Sign Language to Speech System, Python, TensorFlow, OpenCV, Developed a computer vision system capable of recognizing sign language gestures and converting them to speech in real time using Python scripting., Designed modular ML inference pipeline separating model processing and application logic to enhance system automation and data processing., Achieved 92% gesture recognition accuracy through model tuning, dataset preprocessing, and object-oriented programming principles., Improved prediction performance by 30% through optimized model inference workflow and strong analytical problem-solving skills.
• Intelligent Patient Monitoring & Alert System, Python, C++, Matplotlib, REST APIs, Developed a real-time patient monitoring system simulating physiological signals such as heart rate and oxygen saturation using custom scripting., Implemented signal processing pipeline to detect abnormal patterns and trigger automated alerts for potential health anomalies., Built visualization dashboard displaying live signal streams and historical trends using Python data science libraries and react., Supported the development and maintenance of management information systems for enhanced operational efficiency and data integrity.
• AI Soil Health Analysis & Crop Recommendation System, Python, Scikit-Learn, REST APIs, React, Developed an AI-driven system that analyzes soil nutrient composition and environmental data to predict soil health scores., Built machine learning model to recommend optimal crops based on soil minerals and climate patterns, supporting data-driven decision making., Implemented backend APIs to process complex data structures and generate real-time recommendations for business systems., Created interactive dashboard using React and Redux to visualize soil metrics and crop suggestions, streamlining user workflows.

• AI-ML Virtual Internship, EduSkills (AICTE), 2024, Completed structured training in ML workflows, cybersecurity foundations, and model development within a professional cloud-aware environment.
• LeetCode & HackerRank Competitive Programming, Solved 600 algorithmic problems and achieved 5-Star ratings in Java and SQL, demonstrating advanced coding proficiency.