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Python Engineer with less than a year in React.js, Python, and AI/ML.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 3 months of hands-on experience as a Front-End Developer & Automation Intern. Proficient in developing responsive web applications using React.js, HTML, CSS, JavaScript, and Bootstrap. Skilled in data analysis, visualization, and automation using Python, with expertise in machine learning and AI-powered solutions. Passionate about creating intuitive user interfaces and optimizing operational workflows.
Meenakshi College Of Engineering
BACHELOR OF ENGINEERING · COMPUTER SCIENCE ENGINEERING
August 1, 2021 – June 30, 2025
Sri Sairam Polytechnic College
DIPLOMA · COMPUTER SCIENCE
August 1, 2019 – June 30, 2022
Velankanni Matriculation Higher Secondary School
SSLC
N/A – May 31, 2019
STAEB TECHNOLOGIES
Front-End Developer & Automation Intern
January 1, 2024 – March 1, 2024
India
Smart Sensor-Based Air Quality Prediction System (Adaboost Model)
June 28, 2026 – Present
Developed a machine learning model using Python & Adaboost to predict air quality levels with high accuracy, integrating IoT-based sensor data for real-time monitoring.
AI-Powered Gesture Interface for Remote Presentation Control
June 28, 2026 – Present
Designed a computer vision-based application using Python (OpenCV, Mediapipe) that enables gesture-based control of presentations without physical devices.
Web Application – Recommendation System (Streamlit)
June 28, 2026 – Present
Built an interactive recommendation engine using Python (Pandas, Scikit-learn) and deployed it with Streamlit to provide personalized user suggestions.
Foundations of Artificial Intelligence & Machine Learning
Unknown
March 1, 2024 – Present
IBM Cloud Essentials
IBM Skills Build
March 1, 2023 – Present
MERN Stack Development
MongoDB
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a willingness to explore various domains within computer science, including AI/ML, data science, and computer vision. The internship experience, though short, shows adaptability to a professional environment and exposure to both front-end and automation tasks. This diversity of interests and foundational skills suggests a good cultural fit for a dynamic team that values continuous learning and cross-functional exposure. The target role of 'Python Engineer' aligns well with the candidate's core technical skills and project experience.
Soft Skills & Operational Fit
The candidate's resume indicates involvement in diverse academic projects and an internship, suggesting an ability to collaborate and apply learned concepts. The description of automating routine tasks implies a problem-solving mindset and efficiency focus. However, without specific psychometric or English test results, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.