AI Engineer with less than a year in Machine Learning and Computer Vision.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated and detail-oriented Oracle Certified GenAI Professional with a strong foundation in computer science and machine learning. Proficient in data preprocessing, computer vision and core AI, with hands-on experience in developing ML and AI models, data-driven decision-making. Passionate about leveraging AI/ML to drive innovative solutions.
Gujarat Technological University(GTU)
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Augmented Systems
Project Trainee - AIML
June 1, 2026 – Present
India
Matalia Stock Broking
Research Analyst Intern
January 1, 2026 – June 1, 2026
India
Brain Tumor Classification
June 1, 2026 – Present
Developed a Swin Transformer model using PyTorch to classify brain MRI scans into 4 tumor types with 95% validation score and fine-tuned to 90+% accuracy on TCIA data.
PPE Detection System
June 1, 2026 – Present
Developed a YOLOv11-based model to detect safety helmets and jackets with 93% precision and 13ms inference speed. Live Demo
Oracle Generative AI Professional
Oracle
June 1, 2026 – Present
Artificial Intelligence for Manufacturing
GTU and Intel India
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through academic projects, certifications, and a target role as an AI Engineer, aligning well with a tech-driven culture. The diversity of projects (medical imaging, object detection, quantitative finance) shows adaptability and a broad interest in applying AI across different domains. However, the limited professional experience means cultural fit beyond technical alignment would need to be assessed further during interviews.
Soft Skills & Operational Fit
The candidate's role as a Project Trainee involved client interaction and translating business needs, suggesting emerging communication and stakeholder management skills. The independent development of a back-testing platform indicates strong problem-solving and self-direction. However, the current experience level is limited, and operational fit for a senior role would require further validation of leadership and complex project management capabilities.