
AI Engineer with less than a year in Python, Java, and SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering (AIML) graduate with strong foundations in Java, Python, SQL, Data Structures, and Object-Oriented Programming. Experienced in developing software and machine learning projects, with a strong interest in backend development, problem-solving, and scalable software systems. Eager to apply technical skills and contribute to building efficient and reliable software solutions.
Kalasalingam Academy of Research and Education
B.Tech · Computer Science Engineering (AIML)
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate (XII)
June 1, 2020 – May 31, 2022
Vignan High School
ssc (X)
June 1, 2019 – May 31, 2020
Technook
Machine Learning Intern
March 1, 2024 – April 1, 2024
India
Student Management System
June 1, 2026 – Present
• Developed a database-driven application to manage student records. • Implemented CRUD operations using JDBC and MySQL.
Banking System Application
June 1, 2026 – Present
• Built a banking application supporting deposits, withdrawals, and balance inquiry. • Applied inheritance, encapsulation, and exception handling.
AI-Powered Plant Disease Detection
June 1, 2026 – Present
• Developed a CNN-based image classification model achieving 85% accuracy. • Designed a modular architecture for maintainability.
Forest Fire Detection System
June 1, 2026 – Present
• Built a Random Forest model achieving 90%+ prediction accuracy. • Applied preprocessing and model evaluation techniques.
Oracle Cloud Infrastructure 2023 AI Foundations Associate
Oracle
June 1, 2026 – Present
Artificial Intelligence Certification
Technook (IIT Roorkee Cognizance'24)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic focus on AIML and relevant projects align well with an AI Engineer role. The diversity of projects, from traditional Java applications to modern AI/ML models, shows a broad technical interest. The internship, though short, indicates an initiative to gain practical experience. The candidate appears to be a motivated learner, which is a positive cultural fit for a growth-oriented environment. However, the lack of collaborative project descriptions or team-based achievements makes it difficult to fully assess team collaboration aspects.
Soft Skills & Operational Fit
The candidate's resume indicates a strong interest in problem-solving and building efficient software solutions. Participation in coding contests and project exhibitions suggests a proactive and engaged approach to learning and application. The academic projects and internship demonstrate an ability to work on defined tasks and improve model performance, which aligns with operational requirements. However, the short duration of the internship and academic nature of projects mean real-world operational experience is limited.