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Fullstack Engineer with 1+ years in AI/ML, Web Development, and IoT.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in full-stack development, AI-powered computer vision systems, and IoT-based applications. Skilled in React.js, Next.js, Python, FastAPI, and deep learning frameworks. Experienced in building scalable web applications, real-time AI systems, and automation solutions with strong problem-solving and leadership abilities.
Providence College of Engineering, Chengannur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infant Jesus ISC School, Mavelikara
ISC · Higher Secondary Education
N/A – Present
RetinoNet - Automated Diabetic Retinopathy Detection & Grading System
July 1, 2025 – May 1, 2026
• Developed an AI-powered diabetic retinopathy classification system using ResNet-50 for multi-stage retinal disease detection. • Implemented Grad-CAM visualization to improve model interpretability and prediction transparency. • Built a FastAPI backend and Next.js frontend for real-time image prediction and confidence scoring. • Integrated secure patient data management and AI chatbot-based healthcare guidance using Supabase.
PPE Compliance Monitoring System
January 1, 2025 – April 1, 2025
• Developed a real-time PPE monitoring system for industrial workplace safety. • Integrated AI-based object detection with CCTV streams for automated compliance monitoring. • Reduced manual safety inspection efforts through automated PPE compliance tracking.
Smart Vending Machine System
July 1, 2024 – September 1, 2024
• Built a smart vending machine with QR-based product access and online payment integration. • Enabled simultaneous ordering for multiple users through a dedicated web application. • Integrated Razorpay payment gateway and hardware communication using Raspberry Pi and Arduino.
Cultural Fit Analysis
The candidate's involvement in various academic projects, hackathons, and leadership roles (MuLearn, GDG, IEEE) suggests a proactive, learning-oriented individual who values collaboration and community engagement. This aligns well with a culture that fosters continuous learning and teamwork. The diversity of projects (AI, IoT, Fullstack) indicates adaptability and a broad interest in technology.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through campus roles and hackathon participation. Their project descriptions indicate an ability to work on complex, multi-disciplinary problems. However, as an undergraduate with no professional experience, their operational fit in a senior role is limited without further development in professional software development practices, team collaboration in a corporate setting, and project management.