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AI Engineer with less than a year in Machine Learning & Deep Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience in machine learning, deep learning, and predictive modeling. Developed projects including fuel efficiency prediction using ensemble learning and bone fracture detection using U-Net with ResNet34. Skilled in Python, SQL, data preprocessing, feature engineering, and model evaluation with strong interest in AI-driven problem solving and software development.
Bapuji Institute of Engineering and Technology
B.E. · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Pentagon Space
Python Full Stack Development Intern
January 1, 2026 – April 1, 2026
Bengaluru, Karnataka, India
Bone Fracture Depth Estimation using Deep Learning
March 1, 2025 – October 1, 2025
Built a deep learning pipeline for fracture segmentation and depth estimation from X-ray images using U-Net architecture with ResNet34 encoder. Applied preprocessing techniques including CLAHE, normalization, and augmentation to improve segmentation robustness and model generalization. Implemented computer vision workflows for medical image analysis using TensorFlow and OpenCV.
Fuel Efficiency Prediction System
October 1, 2024 – January 1, 2025
Developed machine learning models to predict vehicle fuel efficiency using automotive datasets and regression techniques. Performed data preprocessing, feature engineering, and exploratory data analysis to improve model performance and prediction accuracy. Implemented Random Forest and Gradient Boosting algorithms achieving approximately 87% prediction accuracy after tuning and evaluation.
View ProjectAI Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
IT Primer
TCS ION Career Edge
June 1, 2026 – Present
NCC ‘B' Certificate
Unknown
June 1, 2026 – Present
1st Rank in AI ML
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical application of AI/ML concepts. The '1st Rank in AI ML' achievement indicates a drive for excellence and a competitive spirit. The NCC 'B' Certificate suggests discipline and teamwork. However, the overall experience is academic-heavy, and there is limited information on contributions to open-source, community involvement, or diverse team environments to fully assess cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and apply technical solutions. The internship experience, though brief, suggests exposure to basic application workflows and debugging. However, there is insufficient data to assess advanced soft skills like leadership, complex problem-solving in ambiguous situations, or cross-functional collaboration beyond academic settings.