
AI Engineer with less than a year in Machine Learning and NLP
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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.