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AI Engineer with less than a year in Machine Learning and NLP
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 Engineer with hands-on experience in Machine Learning, Natural Language Processing, Agentic AI, and LLM-based application development. Skilled in building intelligent automation systems, conversational AI applications, and data-driven solutions using Python and modern AI frameworks. Experienced in developing real-time AI projects involving Retrieval-Augmented Generation, document interaction, workflow automation, and production-ready AI agents.
Kamaraj College of Engineering and Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Tamil Nadu State Board
Higher Secondary Certificate (HSC)
N/A – May 31, 2022
Tamil Nadu State Board
Secondary School Leaving Certificate (SSLC)
N/A – May 31, 2020
Petal Automation
AI Intern
May 1, 2026 – June 1, 2026
India
Automated Data Analytics and Visualization System
June 30, 2026 – Present
Developed an AI-powered analytics platform that enables users to upload CSV and Excel datasets for automated preprocessing, analysis, and visualization through natural language queries. Implemented intelligent data cleaning, machine learning-based insights, and automated PDF report generation.
RAG Agent for Petal Edge
May 1, 2026 – June 1, 2026
Developed an AI Agent during internship at Petal Automation for their real-time embedded ML product, Petal Edge — a platform similar to Edge Impulse. Implemented a Retrieval-Augmented Generation pipeline enabling the agent to accurately answer project-specific queries about Petal Edge. Engineered the agent to gracefully decline out-of-scope questions with a polite refusal, ensuring focused, reliable, and boundary-aware responses in a production environment.
Oracle Java Foundations
Oracle
June 1, 2026 – Present
Java Programming Certification
Xplocode
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a passion for AI, aligning with an innovative and problem-solving culture. The internship at Petal Automation and personal projects show a proactive approach to learning and applying AI concepts. The focus on AI/ML and data science aligns well with an AI Engineer role. However, the breadth of experience is limited to a single short internship and academic projects, which might indicate a need for more diverse team collaboration experiences.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex AI systems and a focus on practical application (e.g., production environment considerations, automated report generation). The internship experience suggests an ability to integrate into a professional team and contribute to real-world products. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.