AI Engineer with less than a year in Machine Learning & Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Designed and developed AI-driven applications using Python, with experience in machine learning, deep learning, and domains such as computer vision, NLP. Implemented a YOLO based AI-powered monument detection and localization. Enhanced solution usability and presentation through graphic design expertise (Adobe Photoshop, CorelDRAW, PowerPoint), creating clear, engaging, and user-friendly visual outputs. Career Objective: To pursue a career in AI, applying machine learning, data analysis, and graphics design skills to develop intelligent and user-focused solutions.
Anjuman-I-Islam's Kalsekar College
Diploma in Artificial Intelligence and Machine Learning · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2024
Radhwa International School
Schooling
N/A – Present
IRABOT, THANE
internee
January 1, 2026 – Present
Thane, Maharashtra, India
AI-Powered Monument Detection and Localization Using YOLO
June 5, 2026 – Present
(Developed a real-time computer vision model to detect and localize monuments in images using YOLO, improving detection accuracy and inference speed.)
Cultural Fit Analysis
The candidate's academic project on monument detection and localization using YOLO demonstrates initiative and a focus on practical AI applications. The internship experience, though brief and without detailed outcomes, shows an interest in applying AI to real-world problems like fraud detection. The breadth of skills listed, including graphic design, suggests a versatile individual. However, the overall experience level is very low, which limits the assessment of cultural fit in a senior role.
Soft Skills & Operational Fit
The candidate's resume mentions 'Team leadership' as a core competency, which is a positive indicator for operational fit. However, without further details or assessment data, it is difficult to fully evaluate other soft skills or their operational fit.