AI Engineer with less than a year in Python, Machine Learning, and Full-Stack Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with strong skills in Python, machine learning, and full-stack development. Built innovative projects including an AI-Driven Intrusion Detection System with Explainable AI and Blockchain, and Idea Vault a platform where users invest virtual coins in ideas. Proficient in Django, React.js, Flutter, scikit-learn, and SQL. Passionate about solving real-world problems through intelligent software solutions and eager to contribute to a dynamic technology team.
TKM College of Engineering, Kollam
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
College of Applied Science,Kollam
B.Sc. Computer Science · Computer Science
August 1, 2021 – June 30, 2024
AI-Driven Intrusion Detection System with Explainable AI & Blockchain Logging
June 30, 2026 – Present
Engineered a real-time Intrusion Detection System using Random Forest to detect network attacks with high accuracy. Applied SMOTE for class imbalance handling and SHAP for explainable predictions. Implemented secure audit logging using Ganache and Solidity smart contracts. Built a full-stack dashboard with React and Django REST Framework for alerts, visualizations, and logs.
Idea Vault - Innovation Investment Mobile App
June 30, 2026 – Present
Designed a Flutter-based mobile application where users share ideas and invest virtual coins to boost idea visibility and ranking. Created backend APIs using Django REST Framework with JWT authentication. Implemented idea posting, coin transactions, and admin monitoring features.
MCA Placement Web Application
June 30, 2026 – Present
Developed a web-based platform connecting students, teachers, and job providers to streamline campus placements. Enabled job posting, student profile creation, job applications, and placement tracking. Built responsive frontend and secure backend for efficient data management.
Programming in Java
NPTEL
June 1, 2026 – Present
Python For Data Science
IBM
June 1, 2026 – Present
Machine Learning With Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from AI/ML to mobile and web development, and even blockchain. This diversity suggests adaptability and a willingness to explore new technologies, which can be a good cultural fit for dynamic technology teams. However, all projects are academic, which limits insight into collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems. The academic nature of projects suggests a learning-oriented individual, but real-world operational experience is currently lacking. The focus on innovative solutions implies a proactive and problem-solving mindset.