Sangam Ganesh Babu is an AI researcher and full-stack developer pursuing M. Tech in Data Science at Amrita Vishwa Vidyapeetham. Specializing in generative AI, large language models, and data-driven model discovery, Sangam Ganesh Babu applies cutting-edge research to healthcare AI and predictive modeling. With a BTech in Computer Science with AI specialization, Sangam Ganesh Babu combines rigorous research methodologies with practical systems engineering to create intelligent solutions that address real-world challenges.
With expertise spanning healthcare AI, cybersecurity, robotics, and signal processing, Sangam Ganesh Babu builds scalable systems — from secure authentication protocols to real-time object detection pipelines and reinforcement learning agents. His work focuses on bridging the gap between powerful AI research and responsible, ethical deployment of intelligent systems.
Beyond research, Sangam Ganesh Babu is driven by a belief that intelligent systems should be both powerful and responsible, with applications that create meaningful impact across healthcare, security, and technology sectors.
Rinex Technologies Pvt. Ltd. & Hipla Technologies
July – September 2024
Chegg India Pvt. Ltd.
September – December 2023
Developed a modular pick-and-place pipeline combining perception, planning, and actuation for object manipulation. Utilized ROS2, OpenCV, and Gazebo for real-time object detection and robotic control with camera feedback.
Built a deep learning system for wound detection, segmentation, and classification. Developed a Streamlit interface for real-time analysis and treatment suggestions to assist healthcare professionals in clinical and remote settings.
Developed a Deep Q-Learning model to optimize traffic signal timings based on intersection patterns. Demonstrated improved traffic flow over traditional fixed-timing systems in various traffic scenarios.
Developed a secure login and registration system using SHA-256 password hashing. Implemented protection against SQL injection and XSS using parameterized queries and input validation for scalable deployment.
Created a secure social networking app for Amrita University using Android Jetpack and AES-encrypted REST APIs. Ensured modular architecture and efficient memory usage with Gradle and JVM optimizations.
Built a full data pipeline to clean, analyze, and visualize trip data. Analyzed trends in pickup locations, fare patterns, and passenger behavior with well-documented Jupyter Notebooks and Streamlit deployment.
Built an ALU, CPU, memory modules, and virtual machine from scratch using HDL. Gained hands-on experience in abstraction layers of computing systems using hardware and CPU simulators.
Healthcare for Chronic Wound Management In Leprosy Patients
IEEE (Research Paper)
Large-Sample Streamflow Forecasting Across Diverse Hydroclimatic Regimes Using Deep Learning
Springer (Journal Paper)
I'm always interested in discussing AI research, building intelligent systems, and exploring opportunities to create meaningful impact. Reach out through any of these channels.
connect@sangamganesh.online
ganesh-babu-sangam
sangamganesh.online
Ganesh200010
Whether you're interested in research collaboration, project discussions, or just want to connect — feel free to reach out. I'm available for opportunities in AI research and development.