AI Engineer with less than a year in AI/ML & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented AIML student with strong foundations in Python, Java, and database technologies. Seeking an entry-level position where I can apply my technical skills, contribute to innovative projects, and continuously enhance my knowledge in Artificial Intelligence and software development.
Rural Polytechnic Haunsbhavi
Diploma · Mechanical Engineering
N/A – June 30, 2023
GM Institute of Technology
Bachelor of Engineering Technology · AIML Engineering
N/A – June 30, 2026
Government High School, Masanagi
High School
N/A – May 31, 2020
QSpiders
Python with Data Science internship/training
January 1, 2026 – May 1, 2026
India
Ebook Management System
June 24, 2026 – Present
Built a web-based Java project for ebook management. Implemented CRUD operations, user authentication, and book catalog features. Currently upgrading to Spring Boot for scalability
Genomind: Disease Prediction using Genetic Data
June 24, 2026 – Present
Designed a predictive model using genetic data for early disease diagnosis. Used Python, Pandas, and ML classification techniques. Research-focused project exploring bioinformatics applications.
Heart Disease Prediction
June 24, 2026 – Present
Developed a machine learning model using Python and Scikit-learn. Applied data preprocessing, feature scaling, and classification algorithms.
Python Certificate
Simplilearn
June 1, 2026 – Present
Machine Learning Certificate
NPTEL
June 1, 2026 – Present
Java Certificate
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems (disease prediction). The diverse skill set including Java, Python, and web technologies, along with an AIML engineering degree, aligns with a dynamic, learning-oriented culture. However, the experience is primarily academic and entry-level, suggesting a need for mentorship and structured development within a professional setting.
Soft Skills & Operational Fit
The candidate's involvement in extracurricular activities like NSS volunteering and event organization suggests teamwork, planning, and communication skills. The internship description also highlights improved problem-solving and analytical skills. These indicate a positive work attitude and potential for team collaboration, though direct evidence of stress handling is not available.