Entry-level AI Engineer with AI-DevOps training and 0.5 years of project experience.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & ML graduate with hands-on knowledge of Python, SQL, web development, and machine learning concepts, with practical experience through academic and personal projects. Completed AI-DevOps training with exposure to Docker, CI/CD, version control, and deployment workflows. Eager to learn, build technical skills, and start a career in a growth-oriented organization.
Jyothy Institute of Technology
B.E · AI & ML
August 1, 2021 – June 30, 2025
Rooman Technologies, VTU Affiliated
AI-DevOps Trainee
September 1, 2024 – February 1, 2025
India
Hyperspectral Image Classification
June 1, 2026 – Present
Developed a CNN-GCN based satellite image classification model to identify land, water, forest, and desert regions.
Water Detection App
June 1, 2026 – Present
Built a Streamlit app using Python and OpenCV to detect water-like regions in images and estimate water coverage using image processing techniques.
Task Management Web Application
June 1, 2026 – Present
Developed a full-stack web application for managing daily tasks with features like add, update, delete, and task status tracking.
Instagram Trend Analysis
June 1, 2026 – Present
Built a Python-based project to analyze engagement trends, post performance, and social media patterns using automated data collection.
Data Analytics
LearnBay
June 1, 2026 – Present
Cloud Essentials
IBM
June 1, 2026 – Present
Machine Learning with Python
Jyothy Institute of Technology
June 1, 2026 – Present
Data Science with Python
LearnBay
June 1, 2026 – Present
AWS Foundation
Amazon Web Services
June 1, 2026 – Present
Water Resource Detection Using Satellite Images, IJIRT, Vol. 12, Issue 1, 2025, pp.118-123.
IJIRT
January 1, 2025 – Present
Achieved a perfect score (100%) in the 'Application Developer — Experience Full Stack (Python)' test, indicating excellent command of the subject matter.
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Limitations
Cultural Fit Analysis
The candidate's academic background in AI & ML, coupled with diverse projects (image classification, web app, data analysis) and an AI-DevOps internship, demonstrates a strong interest and commitment to the AI field. The eagerness to learn and build technical skills aligns well with a growth-oriented organization. The breadth of skills and project types suggests adaptability and a collaborative mindset, fitting into a dynamic team culture.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking, Problem Solving, Team Collaboration, Communication' as soft skills. The academic and internship experiences suggest an ability to work in structured environments and contribute to projects. The AI-DevOps trainee role indicates an understanding of operational workflows, which is beneficial for deploying and managing AI systems.
Achieved a perfect score (100%) in the 'Data Scientist — Artificial Intelligence' test, demonstrating strong expertise in AI for data science.
Strengths
Limitations
Achieved a perfect score (100%) in the 'Data Engineer — Data Platforms' test, indicating a comprehensive understanding of data engineering principles.
Strengths
Limitations
Scored 77% in the 'Python Internship Test', indicating a good but not perfect understanding of Python, algorithms, data analysis, streaming data, and unit testing.
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Limitations