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AI Engineer with 1+ years in Machine Learning & Full-Stack Development
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Assessing your cultural and operational fit
MCA student at VIT with hands-on experience in Python, Machine Learning, Deep Learning, and Full-Stack Web Development. Built AI-powered web applications using TensorFlow, Keras, Scikit-learn, Flask, HTML, CSS, and MySQL. Experienced in data preprocessing, model evaluation, and integrating machine learning models into real-world applications. Strong foundation in Data Structures, Object-Oriented Programming, Software Engineering, and Git. Passionate about AI, Large Language Models, and building scalable AI-driven applications.
Vellore Institute of Technology
MCA
August 1, 2024 – June 30, 2026
Vellore Institute of Technology
BCS Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Nokia
Network Testing & Automation Intern
August 1, 2025 – May 1, 2026
India
EARLY DETECTION OF SKIN CANCER USING DEEP LEARNING ARCHITECTURE
June 1, 2025 – June 1, 2026
Developed an AI-powered skin cancer detection system using Python, Flask, HTML, CSS, Deep Learning (ResNet-50 CNN), and Machine Learning techniques. Integrated a Random Forest model for risk prediction based on user-provided clinical and demographic information. Built a web-based interface for image upload, prediction, multilingual support, and automated report generation, enabling faster and more accessible skin cancer screening.
HR Consultancy Management System
June 1, 2025 – June 1, 2026
Built a dynamic HR Consultancy Management System using Java, Servlets, JSP, JDBC, and MySQL. Designed a responsive web interface using HTML and CSS while following MVC architecture for scalability and maintainability. Executed authentication, session management, candidate management, job postings, and CRUD operations.
Online Bus Reservation Management System
June 1, 2025 – June 1, 2026
Designed an online bus ticket booking portal using Object-Oriented Programming (OOP) principles to ensure modularity, scalability, and maintainability. Implemented features such as seat booking, ticket management, and user authentication for a seamless booking experience.
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI and machine learning, aligning well with an AI Engineer role. The academic projects show initiative and a drive to apply learned concepts. The internship experience in network automation, while not directly AI development, shows adaptability and a willingness to learn new domains. The diversity of projects (AI, Java web apps) indicates a broad technical curiosity. However, the experience is primarily academic and internship-based, so the ability to thrive in a fast-paced, corporate AI development culture needs further validation.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on end-to-end solutions, from model development to web integration. The internship at Nokia indicates experience in an Agile environment and collaboration with development teams, which are positive indicators for operational fit. However, specific soft skills like problem-solving approach, leadership, or conflict resolution are not explicitly detailed.