Suveer Upasani
Computer Science Student | Full-Stack AI & Backend Systems Engineer
3Internships
2Research Publication
6+Projects
500+Hackathon Teams
Computer Science Student | Full-Stack AI & Backend Systems Engineer
I am a Computer Science student passionate about Artificial Intelligence, Machine Learning, Backend Engineering, Computer Vision, and Cloud Technologies. My interests lie in designing intelligent systems, scalable backend architectures, and AI-powered applications that solve real-world problems.
I enjoy working across the full technology stack—from training machine learning models to deploying production-ready applications using modern cloud infrastructure.
An AI-powered tongue image analysis platform leveraging computer vision and deep learning to extract visual biomarkers and identify similar cases through vector-based image retrieval.
AI-powered biomechanics analysis platform using computer vision and pose estimation to analyze movement, performance, and posture in real time.
Sports analytics platform using YOLOv8, OpenCV, and object tracking algorithms to monitor player movement and performance.
Machine learning-based quality inspection solution for detecting manufacturing defects through computer vision and image classification.
Computer vision application designed to provide intelligent object detection and environmental awareness capabilities.
Designed scalable backend APIs using FastAPI, Docker, and AWS cloud services for modern web applications.
Automation workflows integrating machine learning, backend systems, and cloud infrastructure for improved efficiency.
A privacy-preserving healthcare AI framework utilizing Federated Learning, Vision Transformers, ConvNeXt, Differential Privacy, and Secure Aggregation techniques.
Research Highlights
• 89.2% Classification Accuracy
• 0.886 Macro F1 Score
• Improved Privacy Preservation
• Reduced Centralized Data Dependency
Awarded in the track: AI-Powered Systems and Intelligent Measurements for the paper Federated Machine Learning for Skin Lesion Diagnosis.
International Conference on Emerging Technologies and Future Innovations (ETFI-2026)
12–14 February 2026
School of Engineering and Technology, DES Pune University, Pune
Best Paper Presentation Award for Federated Machine Learning for Skin Lesion Diagnosis.
Winner among 500+ competing teams.
Project selected and showcased.
Smart India Hackathon and NASA Space Apps Challenge participation.
Leading cloud initiatives and mentoring peers in AWS and system design.
AWS Technical Essentials, GitLab CI/CD, DataDog Monitoring.
Reticulo Sport Technology Pvt. Ltd.
Worked on AI-driven sports analytics, computer vision pipelines, model optimization, and intelligent data processing systems.
Cloudbury Tech
Worked with Docker, AWS infrastructure, CI/CD pipelines, deployment automation, and cloud-native applications.
Instajoy
Developed real-time image processing, object detection, and computer vision solutions.
Open to opportunities and conversations around Artificial Intelligence, Machine Learning, Backend Engineering, Computer Vision, Cloud Technologies, and innovative projects.
📧 suveer@suveer.dev
💬 WhatsApp: +91 94230 43271