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AI Engineer with less than a year in Python, Java, and Cloud technologies, seeking an entry-level po
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented B.Tech (IT) graduate seeking an entry-level position in the IT industry. Eager to apply technical skills in Java, Python, and cloud technologies to solve real-world problems. Committed to continuous learning, teamwork, and delivering quality solutions.
Indra Ganesan College of Engineering, Trichy
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
St. Andrew's Higher Secondary School, Manapparai
HSC · 12th Standard
N/A – May 31, 2021
St. Andrew's Higher Secondary School, Manapparai
SSLC · 10th Standard
N/A – May 31, 2019
Safety Helmet Detection Using AI (YOLOv11)
June 19, 2026 – Present
Developed a real-time AI-based safety system to detect whether workers are wearing helmets using YOLOv11 and OpenCV. Implemented object detection with video feed using Python. Technologies Used: YOLOv11, OpenCV, Python, Real-time camera feed.
Core Java - OOPs, Collections, Exception Handling
Unknown
June 1, 2026 – Present
Mastering AWS – Cloud Computing & Services
Unknown
June 1, 2026 – Present
AWS Cloud Internship – Hands-on Training & Experience
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is a B.Tech student with academic projects, indicating a foundational understanding and eagerness to learn. The project diversity is limited to one academic AI project. The certifications in Java and AWS show a breadth of interest beyond just AI, which can be a positive for adaptability. However, the lack of professional experience and limited project scope means cultural fit for a senior AI Engineer role is currently low, but suitable for an entry-level position.
Soft Skills & Operational Fit
The candidate's profile highlights self-confidence, a positive attitude, effective communication, strong problem-solving, and being a fast learner. These traits suggest a good operational fit for a team environment, especially in a learning-intensive role. However, without direct experience, these are self-reported and would require validation during an interview.