AI Engineer with less than a year in Machine Learning, Generative AI and Python-based development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science student with hands-on experience in Machine Learning, Generative AI and Python-based application development. Skilled in building AI-powered systems, multi-agent communication platforms, TensorFlow, Scikit-Learn. Passionate about developing intelligent, scalable, and data-driven applications to solve real-world problems.
Mount Zion Matric Hr Sec School
HSC
N/A – Present
Mount Zion Matric Hr Sec School
SSLC
N/A – Present
Kongunadu College of Engineering and Technology
B.Tech · AI & DS
N/A – Present
An MCP based Clinical Decision Support System for TMD Diagnosis
January 1, 2026 – June 1, 2026
Developed a context-aware clinical decision support system using MCP and rule-based analysis for accurate TMD diagnosis. Improved diagnostic consistency by evaluating clinical parameters and generating confidence-based results.
MCP Multi-Agent System
January 1, 2026 – June 1, 2026
Built an intelligent multi-agent communication system using Modular Control Protocol (MCP) for automated task coordination and agent interaction. Integrated memory-based chat functionality and dynamic decision-making capabilities for intelligent workflow automation.
Youtube Summarizer
January 1, 2026 – June 1, 2026
Developed an AI-powered YouTube Video Summarizer using Streamlit and Google Gemini to generate multilingual summaries and downloadable PDF notes. Implemented transcript extraction, natural language summarization, and multilingual support for English, Hindi, and Tamil.
AI Services AI-900
ICT academy
June 1, 2026 – Present
Internship on Frontend Web Development
VPRS Solutions Pudukkottai
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on AI/ML, which aligns with an AI Engineer role. The diversity of projects (clinical decision support, summarization, multi-agent systems) indicates a broad interest within AI. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit and collaboration potential in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and integrate various technologies. The academic nature of projects suggests a foundational understanding of AI concepts. However, without professional experience or psychometric test results, it is difficult to assess work attitude, stress handling, or team collaboration skills.