Hello, I'm
Anmagandla Snehil
|
B.Tech in Computer Science - Data Science | AI/ML Enthusiast | Full Stack Developer
B.Tech in Computer Science - Data Science | AI/ML Enthusiast | Full Stack Developer
Hello! I'm Anmagandla Snehil, a passionate Computer Science student specializing in Data Science at SVKM's Narsee Monjee Institute of Management and Studies. Born on August 1, 2004, I've developed a strong foundation in AI/ML, full-stack development, and data analytics.
My journey in technology has led me to work on innovative projects ranging from healthcare AI systems to wildlife conservation applications. I've gained hands-on experience through my internship at DataElegance Solution LLP, where I contributed to building robust warehouse management systems.
I've published research in IEEE conferences and completed certifications from AWS and Microsoft. I specialize in building AI-powered solutions and full-stack applications using cutting-edge technologies.
Graduation Year
Projects Built
Achievements
CGPA: 3.11/4.00
Focused on AI/ML, Deep Learning, Full Stack Development, and Data Analytics
Worked on warehouse management system, building modules for inbound entry, multilingual preferences, and labor management. Implemented cart-style item handling, form validations, and admin controls with advanced filtering and photo compression.
Published research on Dilated Causal Convolutions for Sleep Apnea Detection at IIT Dharwad
Led coordination of inter and intra-college sports events and logistics (2024)
Built YouTube Engagement Rate Prediction model during 24-hour hackathon (Oct 2024)
Achieved 3rd place in competitive web development event
Secured 3rd place at in-campus technical project expo
Attended focused program on IoT, sensor integration, and next-gen computing (2025)
Developed an ECG-based apnea detection system using Se-MSCNN and BiLSTM models. Extracted key features from PhysioNet data for non-invasive, real-time monitoring via wearable devices.
AI-powered wildlife detection system using custom YOLOv8 models with 95%+ accuracy. Features real-time detection from videos, automated alerts, and full-stack web application.
Android app with geofencing that triggers alarms on location entry/exit. Features real-time tracking, persistent storage, and customizable alerts with interactive map views.
I'm currently open to internship opportunities, exciting AI/ML projects, and collaborative development work. Whether it's research, full-stack development, or innovative tech solutions, I'd love to hear from you!