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AI Engineer with less than a year in machine learning and deep learning projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI and Software Engineer with hands-on experience in machine learning, deep learning, and software development. Seeking an opportunity to contribute to AI-driven solutions while applying strong problem-solving and programming skills.
Government Engineering College Palakkad
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Little Flower Girls High School, Chelakkara
Higher Secondary · Biology Science
June 1, 2020 – May 31, 2020
Online Food Ordering System
January 1, 2024 – June 1, 2026
Built a responsive food ordering application. Implemented restaurant listing, menu browsing, and order management features.
NeuroVista - Early Alzheimer's Detection System
January 1, 2024 – June 1, 2026
Developed a deep learning-based framework for early Alzheimer's disease detection using fMRI brain imaging data. Built a multi-modal Graph Neural Network (GNN) using PyTorch and Torch Geometric for disease classification. Performed functional connectivity analysis, feature extraction, and model evaluation for pMCI and sMCI prediction. Achieved reliable classification performance for early disease progression analysis.
Sympto - AI-powered MediSync Assistant
January 1, 2024 – June 1, 2026
Developed a healthcare assistant application with symptom analysis and medical reminders. Implemented AI-based logic for health recommendations and symptom prediction.
Programming in Java (Elite + Gold)
NPTEL
June 1, 2026 – Present
AI for Students: Build Your Own Generative AI Model
NxtWave Workshop
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to real-world problems, particularly in healthcare, which aligns with impact-driven cultures. The diversity of projects (AI/ML, web development) shows a broad technical curiosity. However, without professional experience, it's difficult to fully assess cultural fit beyond academic settings. The target role of AI Engineer is well-aligned with the candidate's project focus and stated career objective.
Soft Skills & Operational Fit
The candidate highlights problem-solving, teamwork, and quick learning as strengths. These are valuable for an AI Engineer role, which often involves complex problem-solving, collaborative research, and continuous learning of new models and techniques. However, these are self-proclaimed and not validated by external assessments or work experience.