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AI Engineer with less than a year in Web Development & Machine 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
Aspiring Computer Engineering student graduating in 2026 with hands-on experience in web development and machine learning. Skilled in Python, HTML, CSS, and JavaScript, with knowledge of DSA, DBMS, and AI/ML concepts. Built projects involving machine learning, NLP, and computer vision to solve real-world problems. Eager to contribute to innovative AI-driven and software development projects.
Datta Meghe College of Engineering, Airoli
Bachelor of Engineering (B.E.) · Computer Engineering
August 1, 2022 – June 30, 2026
K.B & K.C college of arts, commerce, and science, Thane
Higher Secondary Certificate (HSC) · Science
June 1, 2020 – May 31, 2022
People's Education Society, Thane
Secondary School Certificate (SSC)
N/A – May 31, 2020
2nd Prize in International Conference Paper Presentation (DMCE-GTC 2026)
Datta Meghe College of Engineering, CSI-CATT
April 28, 2026 – Present
1st Prize in Mini Project Completion 2025
Datta Meghe College of Engineering, CSI-CATT
April 15, 2025 – Present
Cultural Fit Analysis
The candidate is an aspiring Computer Engineering student graduating in 2026, indicating a strong academic background and a foundational understanding of computer science principles. Their project work, particularly in AI/ML, aligns well with the target role of an AI Engineer. The diversity of projects (web app, game, recommendation system) shows a breadth of interest and application. However, as a student with no professional experience, the cultural fit is primarily based on academic engagement and project alignment, which appears positive for an entry-level AI role.
Soft Skills & Operational Fit
The candidate's profile summary indicates eagerness to contribute to innovative AI-driven and software development projects. Participation in team-based projects (e.g., 'College Compass') suggests an ability to collaborate. The academic achievements (prizes for projects and paper presentation) demonstrate initiative and a drive for excellence. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.