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AI Engineer with less than a year in Machine Learning & Knowledge Graphs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Computer Science Engineering graduate with a specialization in Artificial Intelligence. I have hands-on experience working with Knowledge Graphs and Large Language Models (LLMs) through an international internship. I am a self-motivated individual with strong time management skills and the ability to quickly adapt to new environments.
MITS, Madanapalle
B. Tech · Computer Science Engineering - Artificial Intelligence
August 1, 2021 – June 30, 2025
University of Aizu
Intern
April 1, 2026 – Present
Aizu-wakamatsu Shi, Fukushima Prefecture, Japan
EDU-TANTR PVT.LIMITED
Intern
February 1, 2026 – April 1, 2026
Bengaluru, Karnataka, India
A Novel Framework to Discover Valuable Information in Large-Scale Transportation Knowledge Graphs.
April 1, 2026 – June 1, 2026
I used Gemini-1.5-pro and Gemini-2.0-flash models for this project And Programming Language: Python, Environment: VS Code
Evaluating Machine Learning models to find critical differences.
February 1, 2026 – April 1, 2026
I used Linear Regression, Decision Tree, Random Forest, K-Nearest Neighbour (KNN), Support Vector Machine (SVM) Models for this project Programming Language: Python, Environment: GoogleColab.
Top 5% in NPTEL exam on Management and Information Systems.
NPTEL
June 1, 2026 – Present
Exploratory Data Analysis Certificate
Accenture
June 1, 2026 – Present
Web development certificate
IBM
June 1, 2026 – Present
Data processing & Visualization certificate
Accenture
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's international internship at the University of Aizu, Japan, demonstrates an openness to diverse work environments and cultural experiences. The projects indicate an interest in both theoretical application of ML models and practical application with LLMs and Knowledge Graphs. However, the overall breadth of experience is limited to internships and academic projects, which might require additional mentorship for integration into a senior professional team. The target role is AI Engineer, which aligns with their specialization and project experience. The low experience level (0) suggests they are an entry-level candidate, which might not be a direct fit for a senior AI Engineer role without significant upskilling.
Soft Skills & Operational Fit
The candidate describes themselves as self-motivated with strong time management skills and adaptability. The international internship suggests an ability to work in diverse environments. However, the psychometric test score is not provided, making a comprehensive assessment of operational fit difficult. The English test score of 51 indicates potential areas for improvement in professional communication.