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AI Engineer with less than a year in AI and Machine Learning.
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 student with knowledge of programming, data analysis and machine learning fundamentals. Hands-on experience with Python, Java, SQL and data-driven projects gained through internships and academic work. Actively seeking software development or technology internship and entry-level roles to apply problem-solving skills and build scalable software solutions.
SSM Institute of Engineering and Technology
Bachelor of Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
Artificial Intelligence Intern
September 1, 2025 – November 1, 2025
India
Gradtwin Services Pvt Ltd
Machine Learning Intern
July 1, 2025 – October 1, 2025
India
Smart Inventory Management System
June 27, 2026 – Present
Developed an inventory management system to manage product records, track stock levels, and maintain sales information. Designed and implemented SQL database tables to store product, supplier, and transaction data. Applied core data structures and object-oriented programming concepts to improve data handling and system efficiency.
Sales Data Analysis and Forecasting System
June 27, 2026 – Present
Built a data analysis system to process and analyze historical sales datasets from SQL databases and Excel files. Performed data cleaning, preprocessing and exploratory data analysis to identify sales trends and patterns. Implemented regression-based forecasting techniques to predict future sales and generate analytical reports.
View ProjectAI-Based Intrusion Detection System for IoT Networks
June 27, 2026 – Present
Developed an intrusion detection system to identify malicious network traffic in IoT environments using deep learning techniques. Performed data preprocessing, feature engineering and exploratory data analysis on network traffic datasets using Python. Implemented a CNN–LSTM model to classify traffic patterns and evaluated performance using classification metrics.
AI-based Smart Agriculture System
April 1, 2025 – Present
Participated among 200+ students to develop an AI-based Smart Agriculture System that uses historical datasets to predict irrigation and fertigation needs, helping farmers make smarter, data-driven decisions for better crop management.
Python
Infosys
June 1, 2026 – Present
AI foundation
IBM
June 1, 2026 – Present
Java
Codetantra
June 1, 2026 – Present
ML
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest and foundational alignment with AI/ML roles. The diversity of projects, from IoT security to agriculture and inventory management, indicates a broad interest in applying AI across different domains. This suggests a willingness to explore and learn, which is a positive cultural fit. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate lists adaptability, problem-solving, willingness to learn, team collaboration, and critical thinking as soft skills. These are valuable for an AI Engineer role, especially in a dynamic environment. The project descriptions indicate some level of collaboration and problem-solving, but the operational fit for a senior role is limited due to the candidate's early career stage and academic focus.