Fullstack Engineer with less than a year in Python, Java, Machine Learning, and MERN stack.
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Assessing your cultural and operational fit
Detail-oriented Information Technology undergraduate with hands-on experience in Python, Java, Machine Learning, and MERN stack. Skilled in building AI-driven applications, computer vision systems, and scalable web solutions, with exposure to SDLC, databases, and cloud fundamentals, and a strong problem-solving and continuous learning mindset.
Chaitanya Bharathi Institute of Technology
Bachelor of Engineering · Information Technology
December 1, 2021 – August 1, 2025
Student Attendance System using Haar Cascade Algorithm
June 23, 2026 – Present
Developed a real-time student attendance system using computer vision to automatically detect and recognize faces via webcam input. Implemented the Haar Cascade algorithm (OpenCV) for efficient face detection and student identification during attendance marking. Built a Tkinter-based GUI for student registration, image capture, and attendance management.
Event Management System Using MERN Stack
June 23, 2026 – Present
Developed a full-stack web-based Event Management System using the MERN stack to streamline event creation, booking, and management. Implemented secure user authentication, role-based access for organizers and attendees, and CRUD operations for events and bookings. Implemented RESTful APIs, secure authentication, and MongoDB-based data storage.
PathFinder:An Interactive Game For Career Exploration
June 23, 2026 – Present
Developed an interactive, game-based career guidance system that analyzes user skills and decisions to deliver personalized career recommendations. Leveraged GPT-4 (LLM) to generate dynamic scenarios and align user attributes with real-world roles using the O*NET dataset. Integrated Explainable AI (XAI) to provide transparent and interpretable career recommendations.
Springer Certification on PathFinder : An Interactive Game For Career Exploration
Springer
June 1, 2026 – Present
Certified in Joy of Computing using Python
NPTEL (National Programme on Technology Enhanced learning)
June 1, 2026 – Present
Certified in MERN Full stack development
CODEGNAN IT SOLUTIONS
June 1, 2026 – Present
IEEE Certification on Student Attendance System using Haar Cascade Algorithm
IEEE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from MERN stack web development to AI/ML and computer vision, indicates a broad interest in technology and a willingness to explore different domains. This aligns with a culture that values continuous learning and versatility. The academic background and project focus suggest a foundational understanding suitable for an entry-level or junior fullstack role, but direct cultural fit for a senior role is hard to ascertain without professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to work on diverse technical challenges. The academic nature of projects suggests a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or direct operational fit in a corporate environment.