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AI Engineer with less than a year in Python & Django
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 MCA graduate with strong knowledge of Python, Django, AI-based applications, and backend development. Skilled in building real-time web applications, face recognition systems and AI-powered platforms using modern technologies. Passionate about software development, problem-solving, and learning new technologies.
Chhatrapati Shahu Ji Maharaj University, Kanpur
Master of Computer Applications · Computer Applications
January 1, 2024 – January 1, 2026
Chhatrapati Shahu Ji Maharaj University, Kanpur
Bachelor of Computer Applications · Computer Applications
January 1, 2021 – January 1, 2024
C.N.S. Inter College
Class XII (PCM) · PCM
January 1, 2019 – January 1, 2021
C.N.S. Inter College
Class X (PCM) · PCM
January 1, 2017 – January 1, 2019
AI Online Examination System
January 1, 2026 – Present
Developed AI-powered online examination platform with real-time proctoring. Integrated Gemini API for AI tutor support and automatic question generation. Built analytics dashboard and timer-based auto submission system.
Face Recognition Attendance System
January 1, 2026 – Present
Built a real-time attendance system using facial recognition technology. Implemented live face detection and attendance tracking using WebSockets. Developed student registration and attendance management.
Essentials of Python
Microsoft
June 1, 2026 – Present
Data Science
Udemy
June 1, 2026 – Present
Python & SQL
Edureka
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are academic, focusing on AI and backend development, which aligns with an AI Engineer role. The diversity of projects is limited to two academic projects. The candidate is currently pursuing a Master's degree, indicating a strong academic focus. The lack of professional experience or diverse project types might suggest a need for mentorship and exposure to industry best practices for cultural integration into a fast-paced, product-oriented team.
Soft Skills & Operational Fit
The candidate lists problem-solving, quick learning, teamwork, adaptability, and analytical thinking as strengths. These are valuable for an AI Engineer role, especially in a dynamic environment. However, without behavioral assessment data, the actual operational fit and soft skill proficiency cannot be fully validated.