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AI Engineer with 3+ years in Machine Learning & IoT.
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Assessing your cultural and operational fit
MCA graduate with hands-on experience in Python, Machine Learning, SQL, and IoT. Completed two technical internships building ML classification and recommendation systems. Delivered a first-prize award-winning IoT project and co-authored a paper on Blockchain in Healthcare. Eager to contribute strong analytical and problem-solving skills in an entry-level software or data role.
Karpagam College of Engineering, Coimbatore
Master of Computer Applications (MCA) · Computer Applications
August 1, 2025 – June 30, 2027
Sri Sarada College for Women, Tirunelveli
B.Sc. Information Technology · Information Technology
August 1, 2022 – June 30, 2025
CodTech IT Solutions
Machine Learning Intern
January 1, 2026 – Present
India
Bevywise Networks
Python Programming Intern
January 1, 2024 – December 31, 2024
India
Ulead
Digital Marketing Intern
January 1, 2023 – December 31, 2023
India
ML Systems - Image Classification & Recommendation
January 1, 2026 – June 1, 2026
Trained and evaluated image classification pipelines using CNN architectures; applied data augmentation to improve generalization. Built a collaborative filtering recommendation system and benchmarked multiple similarity metrics.
Resume Builder
January 1, 2025 – December 31, 2025
Developed a GUI-based desktop application using Tkinter that enables users to create, preview, and store resumes. Integrated MongoDB for persistent storage and retrieval of resume data across sessions.
Real-Time Weather Monitoring System
January 1, 2024 – December 31, 2024
Designed and deployed an IoT-based weather station using NodeMCU microcontroller with temperature, humidity, and pressure sensors. Integrated real-time data visualization via Blynk IoT dashboard; system monitored continuously without manual intervention. Presented as a first-prize winning paper at a college-level AI/IoT symposium.
Introduction to Cybersecurity
IBM SkillsBuild
June 1, 2026 – Present
Introduction to Internet of Things
NPTEL
June 1, 2026 – Present
Getting Started with Data Analytics
Amazon Web Services (AWS)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in AI/ML and IoT, aligning well with an AI Engineer role. The diversity of projects (IoT, GUI app, ML systems) and exposure to different tools (GitHub, Canva) suggest adaptability. However, the experience is primarily academic and internship-based, which might require a structured environment for transition into a full-time senior role. The 'Digital Marketing Intern' role, while showing breadth, is less directly relevant to a core AI engineering position.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on defined tasks, follow instructions, and contribute to team goals. The first-prize winning paper and participation in symposiums indicate initiative and presentation skills. However, the provided data does not offer direct insights into stress handling, advanced problem-solving under pressure, or complex team collaboration scenarios beyond project contributions.