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AI Engineer with 1+ years in Machine Learning & Web Development
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Recent B.Tech Computer Science graduate with a strong interest in Artificial Intelligence, machine learning, and software development. Skilled in Python, problem-solving, APIs, and backend workflows, with hands-on experience building AI-driven web applications and practical software solutions through projects and internships. Quick learner experienced in AI-assisted development tools and collaborative Agile-style environments.
Carmel College of Engineering and Technology, APJ Abdul Kalam University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
St. Mary's Residential Central School (CBSE)
Higher Secondary · Bio-Maths
June 1, 2020 – May 31, 2022
St. Mary's Residential Central School (CBSE)
High School
June 1, 2018 – May 31, 2020
ICT Academy of Kerala
Artificial Intelligence & Machine Learning Intern
June 1, 2025 – July 1, 2025
India
Substance Use Prediction in Students
June 1, 2025 – April 1, 2026
Developed a secure predictive web application using Flask, Ngrok, and AI-driven workflows to analyze behavioral, academic, and clinical indicators for estimating student substance-use risk. Served as the ML & system development lead, responsible for data preprocessing, feature engineering, and training advanced models such as CatBoost, Random Forest, and Logistic Regression for integrating and optimizing these models for deployment. Designed a responsive, user-friendly interface that presents clear, actionable insights to support timely intervention and improve student well-being outcomes.
MovieScore - Movie Success Prediction System
June 1, 2025 – July 1, 2025
Built an end-to-end ML system to classify movies as Hit or Flop using the TMDb dataset, including preprocessing, JSON feature extraction, and ROI-based target creation. Trained and evaluated multiple models, selecting Random Forest as the optimal model through performance comparison and tuning. Deployed the trained model as a real-time prediction system using a Flask API with a lightweight frontend interface, enabling practical AI-driven decision support.
Resume Builder Web Application
December 1, 2024 – April 1, 2025
Developed a full-stack resume builder platform supporting multiple export formats including PDF, DOCX, and TXT, enabling seamless one-click downloads across devices. Led the core application engineering, implementing real-time autosave, cloud synchronization, and multi-device support to ensure smooth and continuous editing for users. Designed ATS-friendly customizable templates and dynamic layouts, ensuring both personalization and high compatibility with automated recruitment systems.
5-Day AI Agents Intensive Course with Google
Kaggle
June 1, 2026 – Present
AI For Everyone
DeepLearning.AI
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Artificial Intelligence & Machine Learning Intern
ICT Academy of Kerala
June 1, 2025 – Present
Cloud Infrastructure 2025 Certified AI Foundations Associate
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI/ML concepts. The diversity of projects (predictive analytics, web application development) and certifications indicates a broad interest in technology and a willingness to acquire new skills, which aligns well with a dynamic AI engineering role. The internship experience further solidifies their commitment to the field.
Soft Skills & Operational Fit
The candidate's project descriptions highlight leadership in ML and system development, suggesting strong initiative and problem-solving skills. The mention of 'collaborative Agile-style environments' indicates a potential for good teamwork. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.