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AI Engineer with less than a year in full-stack development and AI/ML concepts.
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 Artificial Intelligence and Machine Learning engineer with hands-on experience in Python, C, Basic of SQL, and full-stack development. Passionate about solving real-world problems through scalable software solutions. Trained and certified in Python Full Stack with a strong academic and project background in web development, data analysis, and Agile methodologies.
Sharnbasveshwar Residential Composite PU College, Kalaburgi
PUC
N/A – May 31, 2021
Godutai Engineering College for Women, Sharnbasva University
B.E · AIML
N/A – June 30, 2025
Sharanabasaveshwar Residential High School, Kalaburgi
SSLC
N/A – May 31, 2019
Pentagon Space
Python Full Stack Developer Intern
March 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India
Heart Disease Prediction using Machine Learning
June 3, 2026 – Present
Developed using Python and scikit-learn to classify heart disease risks. Included data preprocessing, model training, and performance evaluation.
IOT-Powered Emergency Button for Women's Safety
June 3, 2026 – Present
Arduino-based safety system sending real-time location via GSM during emergencies.
Finance Tracker Management System
June 3, 2026 – Present
Built a full-stack Django web app to track income, expenses, and budgets. Used Python, Django, SQLite3, HTML5, CSS3, and JavaScript for development. Included login, dashboards, reporting, category management, and Excel export.
Python, SQL & Web Technologies Training
Pentagon Space
June 1, 2026 – Present
Python Full Stack Development
Pentagon Space
June 1, 2026 – Present
Machine Learning with Python
IBM Cognitive Class
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of AI/ML and full-stack development, indicating a versatile interest. The 'IOT-Powered Emergency Button' project shows an interest in socially impactful applications. The internship and certifications suggest a proactive approach to learning and professional development. The target role of 'AI Engineer' aligns well with the AIML degree and machine learning projects. However, the breadth of experience is limited due to the candidate's early career stage.
Soft Skills & Operational Fit
The candidate lists 'Bold, Flexible, Easy-going, Focused, Punctual, Honest' as strengths. While these are positive traits, there is no assessment data to validate them. The project descriptions indicate an ability to work on diverse tasks, which suggests flexibility. The internship experience implies an ability to work in a structured environment.