Aaron Shyjan
Working on machine learning systems, interaction models and data-driven intelligence. Architecting scalable computational frameworks.
Section 01 / About
Identity_CoreI am a Computer Science student with a focus on building intelligent systems through data, interaction and secure design.
My work involves developing machine learning solutions, exploring human-centered interaction models, and applying data analytics to real-world challenges.
I am interested in creating systems that are scalable, practical and grounded in research-driven thinking.
Section 02 / Project Build
Execution_LogCognitive Load Detection System
Developed machine learning models using keystroke dynamics features such as typing speed and key-hold duration to classify cognitive load levels. Built a real-time inference pipeline for adaptive learning and productivity applications, enabling continuous behavioral analysis from user interactions.
Happn – Android Event Booking App
Developed a full-stack Android event booking application with user authentication, booking workflows, and structured SQLite database architecture. Implemented input validation, CRUD operations, and responsive XML-based interfaces to ensure reliable data management and seamless user experience.
Lira – AI Incident Management Agent
Developed an AI-powered incident management agent leveraging LLMs and vector search to automate incident diagnosis, classification, and resolution workflows. Built retrieval-augmented reasoning pipelines with severity-based prioritization and context-aware recommendation generation from historical incident data.
IoT-Based Hand Gesture Virtual Mouse
Developed a wearable gesture-controlled virtual mouse using flex sensors and MPU6050 to enable real-time touch-free cursor navigation. Implemented sensor data processing and gesture classification algorithms for low-latency gesture-to-action mapping through Arduino-Python integration. Led end-to-end development including hardware integration, data collection, model training, and system deployment; accepted for publication at IEEE CSNT 2025.
Section 03 / Publications
DisseminationSection 04 / Experience
Operational_RecordLarsen & Toubro (L&T), Chennai
Agentic AI Intern
Apr 2026 – May 2026
Keltron, Thrissur
Android Developer Intern
Apr 2025 – May 2025
1M1B Green Skills Academy, Bangalore
Data Analytics Intern
Nov 2024 – Mar 2025