Rayan
Pinto
PORTFOLIO ©2026
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
15+
Projects
6
Awards
Experience
Professional Background
AI Intern
Niveus Solutions (Part of NTT DATA)
Jan 2026 – Present
Mangalore, Karnataka
Working on GCP-based solutions and proof-of-concept implementations. Assisting in system integration and architecture discussions.
Skills & Expertise
Technologies I work with
01 // LANGUAGES
C
C++
Python
Java
JavaScript
Golang
02 // WEB & MOBILE
Flutter
React.js
NodeJS
Express.js
Django
Vite
FastAPI
03 // AI & MACHINE LEARNING
TensorFlow
NumPy
Pandas
Scikit-learn
Whisper
CNN
RNN
BERT
Transformer
ADK
04 // DATABASES & TOOLS
MongoDB
MySQL
Firebase
Git
Docker
Mongoose
PowerBI
Minikube
Featured Projects
Some of my recent work
Query Parallax
Built a distributed Map-Reduce engine parallelizing SQL queries across dynamic workers for 4-10x speedup. Implemented Kubernetes HPA to auto-scale worker pods based on CPU load, reducing resource usage by 40%. Developed a real-time Next.js dashboard to visualize distributed query pipelines, worker metrics, and system latency.
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)
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.
Plant Disease Prediction
AI-powered web application that detects plant diseases from leaf images using CNN with 90%+ accuracy.
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: 9.26/10
Pre-University Course
St. Aloysius PU College, Mangalore
2020 - 2022
Marks: 97%
Awards & Achievements
Recognition for excellence
Technova 2025 Winner
Best Innovation
November 2025
Won "Best Innovation" for the Multimodal Agentic Framework for Behavioral Profiling.
HackEVL 2025 Winner
Tech Event
September 2025
Recognized for excellence in full-stack development and creative problem-solving.
HackToFuture 2.0 Winner
Srinivas University
February 2024
First place for developing an innovative AI-based solution for agricultural challenges.
Branch Topper
St. Joseph Engineering College
2023 - 2025
Achieved highest academic performance in CSBS for two consecutive years.
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.