Rayan Pinto Software Engineer | CS & Business Systems Student
Computer Science and Business Systems student with a solid foundation in full-stack development and hands-on experience building scalable web and mobile applications.
About Me
Get to know me better
Software Engineer
Computer Science and Business Systems student with a solid foundation in full-stack development and hands-on experience building scalable web and mobile applications. Contributed to the design and implementation of reliable backend APIs, user-friendly interfaces, and database solutions. A fast learner, eager to grow, and motivated to apply skills to create meaningful, real-world solutions.
20+
Technologies
6+
Projects
4
Awards
Skills & Expertise
Technologies I work with
Programming Languages
Frameworks & Libraries
AI & Machine Learning
Databases & Tools
Featured Projects
Some of my recent work
Plant Disease Prediction
AI-powered web application that detects plant diseases from leaf images using CNN with 90%+ accuracy.
Obscura (Team Project): Privacy-Preserving Data System
Developed a mobile-first system with client-side encryption, differential privacy, and synthetic data generation. Built survey + OCR pipelines (AES-256, Supabase) and applied CTGAN + Differential Privacy for secure analysis. Designed multi-layer privacy architecture protecting against inference, and secure threats.
Multimodal Agentic Framework for Behavioral Profiling (Team Project, In Progress)
Building a real-time system extracting 40+ behavioral signals from speech and facial data. Integrating ADK agent for contextual attention/fatigue scoring with low-latency optimization. Designing evaluation harness and logging framework for multi-session performance testing.
DevQueryX
A smart multi-agent system that classifies and routes developer queries to the appropriate AI agents — either for code generation, debugging, or conceptual explanations.
E-Commerce App
Cross-platform mobile app with authentication, product browsing, cart, and secure checkout system.
Emotion Detection System
Real-time emotion detection from webcam feed recognizing 7 different emotions with trend visualization.
Sentiment Analysis System
Text classification system for sentiment analysis using NLTK and machine learning algorithms.
Education
Academic Background
B.E. in Computer Science and Business Systems
St. Joseph Engineering College, Mangalore
2022 - 2026
CGPA: 9.22/10
Pre-University Course
St. Aloysius PU College, Mangalore
2020 - 2022
Marks: 97%
Awards & Achievements
Recognition for excellence
HackToFuture 2.0 Winner
EGDK India Pvt Ltd
February 2024
Awarded for developing the most innovative and functional project among a competitive field of participants.
HackEVL Winner
Google Developer Group
September 2023
Awarded for building a high-impact and technically innovative solution during a competitive weekend hackathon.
Branch Topper - 3rd Year
St. Joseph Engineering College
2024-2025
Achieved the highest academic performance in Computer Science and Business Systems branch for the third year.
Branch Topper - 2nd Year
St. Joseph Engineering College
2023-2024
Achieved the highest academic performance in Computer Science and Business Systems branch for the second year.
Get In Touch
Let's work together
Let's Connect
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and innovation.