AI Engineer with less than a year in Data Science & 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
Technology enthusiast with experience in AI-driven and data-centric projects, focused on building practical and scalable applications. Committed to continuous learning, strong logical thinking, and effective collaboration while adapting to evolving technologies.
DR.Mahalingam College of Engineering and Technology
Bachelor of Technology · Artificial intelligence and Data Science
August 1, 2023 – June 30, 2027
Gandhi Kala Nilayam Higher Secondary School
HSC
June 1, 2022 – May 31, 2023
Gandhi Kala Nilayam Higher Secondary School
SSLC
June 1, 2020 – May 31, 2021
GATEWAY SOFTWARE SOLUTIONS
Python with Data Science Intern
June 1, 2025 – August 31, 2025
Coimbatore, Tamil Nadu, India
AI Smart Glass for Visually Impaired
August 1, 2025 – September 30, 2025
Developed an AI-powered assistive device using ESP32-CAM and ultrasonic sensors for real-time object detection, obstacle avoidance, and reliable hardware-software integration.
Blood Bank Management System
September 1, 2024 – December 31, 2024
Designed and implemented a database-driven system to manage donor records, blood group availability, and blood requests with validation for accurate and efficient data handling.
Human Resource Development
NPTEL
January 1, 2025 – Present
Introduction to Data Science and Mongo DB basics
Unknown
January 1, 2025 – Present
Soft Skills
NPTEL
January 1, 2024 – Present
Advanced Robotics
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects, certifications in 'Advanced Robotics' and 'Introduction to Data Science', and participation in a hackathon suggest a proactive and learning-oriented individual. The 'AI Smart Glass' project shows an interest in applying AI for social good, which can align with certain organizational cultures. However, the overall experience is limited to academic and internship settings, which might require more structured mentorship for integration into a professional team.
Soft Skills & Operational Fit
The candidate lists soft skills such as adaptability, collaborative work, time management, and strong interpersonal skills. These are positive indicators for operational fit, suggesting a willingness to learn and work effectively in a team environment. However, these are self-reported and not validated by assessments.