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AI Engineer with less than a year in machine learning, software development, and web applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science Engineering (AI & ML) graduate skilled in Java, Python, SQL, Data Structures & Algorithms, and Object-Oriented Programming. Experienced in software development, web applications, and API integration through academic and project work, with strong problem-solving and debugging skills.
Kalasalingam University
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Aircraft Engine Predictive Maintenance
June 1, 2026 – Present
Developed a predictive maintenance solution using Python, RNN, and LSTM models to analyze aircraft engine sensor data and forecast potential failures. Performed data preprocessing, testing, validation, and performance evaluation to improve prediction reliability and support data-driven maintenance decisions.
View ProjectLog Management System
June 1, 2026 – Present
Developed a backend application using Java, Spring Boot, JPA, and MySQL to collect, store, retrieve, and manage application logs. Designed and implemented RESTful APIs, database integration, and layered architecture to support efficient log monitoring, filtering, debugging, and system analysis.
Pickle Delight E-Commerce Website
June 1, 2026 – Present
Developed a full-stack e-commerce web application with customer and admin dashboards using HTML, CSS, JavaScript, and Firebase. Implemented user authentication, product management, order processing, customer reviews, and real-time database synchronization to support efficient business operations and user experience.
MERN Stack Developer Certification
Infosys Springboard
June 1, 2026 – Present
Microsoft Azure AI Fundamentals: AI Overview
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas including AI/ML, full-stack web development, and backend systems, indicating a broad interest and adaptability. The AI/ML focus aligns well with an AI Engineer role. The academic nature of all projects and lack of professional experience means cultural fit in a corporate setting is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data analysis to deployment. The academic projects suggest problem-solving skills and an understanding of structured development. However, without direct work experience or specific soft skill assessments, it's difficult to fully evaluate operational fit and collaboration skills.