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AI Engineer with 1+ years in Deep Learning & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated M.C.A. candidate with a strong foundation in Java, Python, and web technologies. Possesses practical experience in developing and implementing projects leveraging Deep Learning for object detection and full-stack web development with React.js and Flask. Proven ability to quickly grasp new concepts and apply them to real-world problems, as demonstrated by certifications in Java and Artificial Intelligence.
SIES College of Management Studies
M.C.A. · Computer Applications
August 1, 2024 – June 30, 2026
Guru Nanak Khalsa College of Arts, Science and Commerce
Bachelors in Science · Chemistry
August 1, 2020 – June 30, 2023
Comparative analysis of YOLOv8 and YOLOv11 for Detecting Triplet Rider on Motorbike.
August 11, 2025 – December 4, 2025
A comparative study of YOLOv8 and YOLOv11 models for detecting triple riders on motorbikes, evaluating accuracy and performance using standard detection metrics such as mAP@50, precision, Recall, F1 Score etc.
License Plate Detection System
February 1, 2025 – April 30, 2025
License Plate Detection System is a system built with React.js, Node.js, Python, and OpenCV to detect and extract license plate data and save it to the SQLite3 database for monitoring and security.
Siescoms Attendence Management System
September 14, 2024 – January 1, 2025
SIESCOMS Attendance Management System is a web-based attendance management system built using Flask, SQLite, HTML, CSS, and Python to streamline student attendance.
Programming in Java
NPTEL Swayam
December 31, 2099 – Present
Fundamental of Artificial Intelligence
NPTEL
December 31, 2099 – Present
Achieved 86% in the NPTEL certification, indicating a solid grasp of fundamental Java programming concepts.
Strengths
Limitations
Scored 64% in the NPTEL certification, demonstrating a foundational but not advanced understanding of AI fundamentals.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical applications of AI and web development. The diversity of technologies used (Python, Java, JavaScript frameworks, databases) suggests adaptability and a willingness to explore different tools. The focus on academic projects aligns with an entry-level or junior role, indicating a learning-oriented mindset. However, without professional experience, assessing cultural fit beyond academic collaboration is challenging.
Soft Skills & Operational Fit
The candidate's resume highlights academic projects with team sizes, suggesting experience in collaborative environments. The project descriptions are clear and concise, indicating good communication skills in a technical context. However, without professional experience, it's difficult to assess operational fit, stress handling, or advanced problem-solving in a real-world setting.
Strengths
Limitations