AI Engineer with less than a year in Python, Computer Vision, and Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Developer / Machine Learning Engineer with hands-on experience in Python, Machine Learning, Computer Vision, and Generative AI systems. Skilled in building intelligent applications using LLMs, NLP, and deep learning frameworks. Experienced in developing AI prototypes, automation tools, and real-time computer vision systems
INFO Institute of Engineering, Coimbatore
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Government Higher Secondary School keelapoovani
Higher Secondary Certificate (HSC)
N/A – May 31, 2022
Government Higher Secondary School keelapoovani
Secondary School Leaving Certificate (SSLC)
N/A – May 31, 2020
NxtWave CCBP 4.0 Academy
AI Intern
June 1, 2026 – Present
India
Blinking Soft Pvt Ltd
AI Intern
June 1, 2026 – Present
India
AI Forensic Handwritten Analysis System
June 1, 2026 – Present
Developed an AI-based handwriting analysis system using Python and OpenCV to process and analyze handwritten text images. Built a model to assist in forensic handwriting verification and writer identification.
Smart Fire Detection System (Computer Vision)
June 1, 2026 – Present
Designed and implemented a real-time fire and smoke detection system using computer vision techniques. Trained a Convolutional Neural Network (CNN) on fire image datasets for accurate detection. Integrated live video stream processing using OpenCV to monitor environments continuously.
AI Customer Support Agent (LLM + RAG)
June 1, 2026 – Present
Built an intelligent chatbot using Retrieval-Augmented Generation to answer questions from knowledge base documents.
Cultural Fit Analysis
The candidate's project diversity, including forensic analysis, fire detection, and customer support chatbots, indicates a broad interest in applying AI across different domains. The listed skills align well with an AI Engineer role, covering programming, various AI/ML sub-fields, generative AI, and web/API integration. This breadth suggests adaptability and a willingness to explore different facets of AI, which is a positive indicator for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and active contributions to GitHub AI projects. The internship experiences suggest an ability to work on AI automation solutions and contribute to model development and testing. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.