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AI Engineer with less than a year in Python, AI, and data-driven applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software engineering-oriented developer with strong skills in Python, SQL, data structures, and backend systems. Experienced in building real-time AI and data-driven applications with a focus on scalable, efficient problem solving.
Madras Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2026
Sri Durga Devi Polytechnic College
Diploma · Electrical and Electronics Engineering
August 1, 2020 – June 30, 2023
Anna University
Research Intern
May 1, 2025 – July 31, 2025
India
SafeVision: Real-Time Helmet Violation & Accident Detection System
June 1, 2026 – Present
Developed a YOLO-based computer vision system to detect helmet violations and road accidents from live video. Integrated Twilio API to send automated SMS alerts to authorities upon safety breach detection. Designed modular backend logic and REST APIs for real-time inference and alert triggering. Used Git for version control and Docker to containerize the backend for consistent deployment.
Automobile Service Center Database System
June 1, 2026 – Present
Designed and deployed a secure, role-based web application for managing customer service records and automated billing, ensuring high data integrity and quick query performance. Optimized complex SQL queries using indexing, normalization, and joins to reduce data retrieval time and improve system performance.
Using MongoDB with Python
MongoDB University
June 1, 2026 – Present
Oracle MySQL Explorer Badge
Oracle University
June 1, 2026 – Present
AWS Academy Cloud Foundations
Amazon Web Services Training and Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest in applying AI to real-world problems, such as safety systems and energy optimization. Their participation in hackathons and innovation competitions indicates a drive for continuous learning and practical application of skills, which aligns well with a dynamic, innovation-focused culture. The breadth of technologies used across projects (Python, various frameworks, databases, Docker) suggests adaptability and a willingness to explore different tools. However, the candidate's experience level is '0', indicating they are still early in their career, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and problem-solving, as evidenced by their hackathon achievements and self-reported DSA problem-solving. Their project descriptions indicate an ability to work on complex technical challenges and integrate various technologies. The academic background in AI and Data Science, coupled with practical project experience, suggests a good operational fit for roles requiring analytical and development skills. However, without specific psychometric or English test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.