AI Engineer with less than a year in Machine Learning and Full Stack 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
AI and Data Science professional currently pursuing a B.E., with hands-on experience in machine learning model development, data preprocessing, and feature engineering from an AI and ML internship. Skilled in full-stack web development using Java, React, and MySQL, demonstrated through various projects. Adept at building responsive web applications and solving real-world problems with AI technologies.
SDM Institute of Technology
B.E. · Artificial Intelligence and Data Science
N/A – June 30, 2025
Technologics Global Pvt Ltd
AI and ML Intern
October 1, 2023 – November 1, 2023
India
Airport Management System Detection System
June 23, 2026 – Present
Developed a web application for airport management using HTML, CSS, Bootstrap, Node.js, React, and MySQL. Integrated MySQL for data storage and management, providing reliable and scalable database solutions. Applied Node.js for backend logic and API handling, enabling efficient data communication and process automation.
Disease Detection System
June 23, 2026 – Present
Designed and developed a full end-to-end machine learning application that detects and classifies common human diseases from medical image data. Implemented two deep learning architectures - CNN (Convolutional Neural Network) and MobileNetV2 for highly accurate disease classification from images. Built and deployed a Flask-based web interface that allows non-technical users to upload medical images and receive real-time disease predictions with visual results.
YOUTUBE Video Summarizer
June 23, 2026 – Present
Built a StreamLit application integrating Gemini and YouTube Transcript API to generate video summaries, perform fact-checking, and allow users to chat with the video after inputting a link. Implemented an intuitive user interface that provides seamless video interaction and quick content analysis. Enabled real-time chat functionality for contextual conversation based on the video's content.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying various technologies, aligning with an innovative and growth-oriented culture. The diversity of projects (disease detection, video summarization, airport management) shows a broad interest in applying AI and software development to different domains. The target role of 'AI Engineer' aligns well with the candidate's educational background in AI and Data Science and their project experiences. However, the limited professional experience (one short internship) means their adaptability to diverse team dynamics and corporate environments is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from deep learning model development to full-stack web application deployment. The internship experience suggests an understanding of data preprocessing and ML model implementation in a professional setting. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The project descriptions are clear, but the overall resume lacks detailed quantifiable achievements, which could indicate a need for improved communication of impact.