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AI Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Engineering student specializing in Machine Learning, Deep Learning, and Predictive Analytics. Proven track record in structuring end-to-end AI pipelines, engineering Convolutional Neural Networks (CNN) for medical imaging, and preprocessing complex datasets. Proficient in building scalable, database-driven applications and seeking an entry-level position as an AI/ML Engineer or Data Analyst.
Watumull Institute of Engineering and Technology, Mumbai University
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Art Gallery Management & Content Filtering Platform
June 28, 2026 – Present
Developed a dynamic database-driven web application using PHP and MySQL to manage structured asset metadata, artist biographies, and high-resolution gallery configurations. Implemented custom data query search algorithms with advanced filtration indices to optimize retrieval workflows for diverse artwork classes. Secured backend transactional pipelines by implementing multi-tier validation parameters for media processing and client requests.
Alzheimer's disease Detection System
June 28, 2026 – Present
Engineered an end-to-end AI-powered diagnostic framework utilizing Convolutional Neural Networks (CNN) in Python to achieve early classification of Alzheimer's progression stages. Executed advanced data preprocessing and image augmentation strategies using NumPy and Pandas to balance classification weights and reduce model over fitting. Evaluated model metrics including precision, recall, and loss curves using Matplotlib to validate neural network stability across validation subsets.
Tours and Travel Analytics & Booking System
June 28, 2026 – Present
Designed a dual-interface architectural platform mapping specific customer profiles against administrative command modules. Built complete CRUD operation APIs managing data synchronization and transactional tracking metrics in real-time. Constructed an interactive business dashboard using PHP reporting scripts to synthesize core analytics and application traffic.
Introduction to Artificial Intelligence
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation
Unknown
June 1, 2026 – Present
TNS India Foundation Training in AI/ML
TNS India Foundation
June 1, 2026 – Present
Java Certification
Udemy
March 1, 2026 – Present
Python Certification
Udemy
March 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Unknown
March 1, 2026 – Present
Data Science Certification
Code With Harry
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML and data analytics, aligning well with an AI Engineer role. The diversity of projects (medical imaging, web applications) shows adaptability and a willingness to explore different domains. However, as an entry-level candidate, the breadth of experience is limited to academic settings, and exposure to diverse team environments or corporate culture is not evident.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a detail-oriented approach and an ability to structure end-to-end pipelines, which suggests good problem-solving and organizational skills. The academic nature of projects and lack of professional experience mean operational fit and collaboration skills are yet to be fully demonstrated in a professional setting.