Full-Stack developer & AI engineer currently pursuing M.Sc. Computer Science with an AI specialization at CUSAT. I build end-to-end systems — from facial recognition attendance tools to academic AI platforms and data pipelines.
Recognized at CASCADE 2025 and published at ICAET 2025. I care equally about clean code and the experience it creates.
AI-powered facial recognition attendance system. Live face detection removes manual roll-call.
Full-stack voice practice platform with real-time transcription and automated IELTS scoring.
AI-powered academic platform for document sharing, summarization, and translation.
Multi-year analysis of India's electric vehicle adoption trends across states.
Comprehensive gym management system currently deployed in production.
Successfully completed the Data Science & Analytics Course, developing core competencies in data processing, analytics, and modeling methodologies.
End-to-end analysis on 4 projects — COVID-19 clinical trials, Coca-Cola stock prediction, web threat detection, and EV sales across India. Applied Python data stack for EDA, statistical modeling, and predictive analytics.
Foundational AI project covering data preprocessing, model building, and deployment under industry mentorship.
Developed and tested web modules using PHP and JavaScript. Contributed to production-level code review and agile team workflows.