About
Highly adaptable and skilled professional with a unique blend of experiences, encompassing full-stack Python development, Blockchain technology, Django, Flask framework, and Android development.
PYTHON/AI Developer
- Birthday: 01 June 2001
- Phone: +971 56 477 1140
- City: Abu Dhabi, UAE
- Age: 24
- Degree: Bachelor of Computer Application
- Email: amaljames0007@gmail.com
Passionate software engineer with expertise in full-stack Python development, specializing in Django and Flask frameworks. Experienced in creating scalable web solutions, implementing Blockchain technology, and developing educational projects. Committed to continuous learning and leveraging cutting-edge technologies including AI/ML to solve complex problems and drive organizational success.
Technical Skills
Resume
My professional journey and qualifications
Professional Experience
Software Engineer
JUNE 2023 - September 2025
RISS Technologies, Kochi
- Specialized in Django and Flask web development, designing and implementing scalable solutions for diverse projects
- Demonstrated expertise in creating educational projects for academic students, contributing to their practical learning experience in web development
- Provided mentorship and guidance to students, emphasizing industry conventions and recommended best practices
- Developed and deployed full-stack applications using modern Python frameworks
Education
Bachelor of Computer Application
2019 - 2022
Affiliated to University of Kerala
Higher Secondary Education
2017 - 2019
Science Stream
Technical Skills
Programming Languages
- Python (Advanced)
- JavaScript (Intermediate)
- HTML5 & CSS3 (Advanced)
Frameworks & Technologies
- Django & Django REST Framework
- Flask & Flask-RESTful
- Blockchain Technology
- Android Development
- RESTful API Design
- AI/ML Libraries
Professional Skills
- Mentorship & Teaching
- Problem Solving
- Communication
- Team Collaboration
Projects
Innovative solutions leveraging AI and Blockchain technology
AI-Powered Deepfake Detection System
With the rise of AI-generated media, detecting deepfakes is crucial for verifying digital content authenticity. This project develops a comprehensive Deepfake Image Classification system using advanced deep learning techniques to identify manipulated media with high accuracy.
Key Features:
- CNN architecture for deep feature extraction
- Real-time image classification
- Advanced preprocessing pipeline
- Captures subtle facial inconsistencies
- Multi-metric evaluation system
Blockchain-Based Voting System
A revolutionary secure, transparent, and efficient electronic voting system designed for university elections. This project leverages blockchain technology's inherent security features to address traditional voting challenges including fraud and tampering.
Key Features:
- Decentralized architecture
- Immutable vote recording
- Cryptographic security
- Transparent audit trail
- Real-time vote tallying
- Smart contract automation