Jerin Joseph Alour
EXPERTISE
BIO
I have specialised in AI and Machine Learning, with a robust background in software development and project leadership. At the National Stock Exchange, I designed an AI chatbot that significantly improved user satisfaction and reduced costs. As a Project Lead Intern at Pragmiq Oy, I spearheaded the development of a Cardamom Detection & Price Prediction app, boosting prediction accuracy by 25%. My work also includes creating an automated College Bell System, cutting manual intervention by 80%. I have presented an award-winning research paper on intelligent systems and possess strong technical skills in Python, C, .NET, JavaScript, React, MySQL, and Azure. My leadership experience includes managing teams and securing sponsorships as the Event head during Magnovite Fest.
EDUCATION
Btech. in Electronics & Computer Engineering (With Specialization in AI & ML)
Christ University, May 2025
Computers
Minors in General Management
Christ University, May 2025
General Management
PORTFOLIO PROJECTS
Multi-Model AI Assistance for Orthopedic Radiology
Tech Stack: YOLOv8, ResNet50, VGGNet, Python, LLaMA (LLM) Overview: Developed an AI system for fracture detection in X-rays. Integrated object detection and classification models with an LLM-based diagnostic assistant. Highlights: Achieved 75–80% accuracy Reduced diagnosis time to under 1 minute Targeted radiology workflow improvement
1/1/2025 -4/28/2025
IoT-Based College Bell System
Tech Stack: Python, Raspberry Pi, ReactJS, NGINX, Firebase Overview: Built and deployed an automated bell scheduling system at Christ University, reducing manual efforts. Highlights: 80% reduction in manual intervention Real-time web interface for schedule management Integrated emergency notification feature
5/1/2024 -7/31/2025
Plastic Waste Detection Using Azure
Tech Stack: YOLO, Azure VMs, ReactJS, Flask, Firebase Overview: Designed a plastic detection system using Azure Cloud for geotagging and route optimization in waste collection. Highlights: Optimized image analysis using cloud VMs Real-time detection and alert system Seamless frontend-backend-cloud integration
5/1/2023 -10/24/2023
Verified Backend Developer
0-2 years of experience
Preferred commitment: Full Time
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