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AI Engineer with less than a year in Machine Learning & Web 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
Aspiring AI and Data Science professional with strong skills in Machine Learning, Deep Learning, NLP and Generative AI. Experienced in building AI-powered web applications with working knowledge of databases.
Sri Manakula Vinayagar Engineering College
B.TECH · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
St. Patrick M.H.S.S
Higher Secondary
June 1, 2021 – May 31, 2022
St. Patrick M.H.S.S
Secondary
June 1, 2019 – May 31, 2020
Clients Bridge
Front end Developer, UI/UX
November 1, 2024 – January 1, 2025
India
AI Powered Emotional Wellness Companion
November 1, 2025 – February 1, 2026
Built an AI-powered emotional wellness companion that captures user emotions and context, providing 24/7 mental health support using a RAG model, Vector DB and Cohere LLM.
Lung Cancer Detection using QML
February 1, 2025 – May 1, 2025
Built an AI-powered lung cancer detection platform using Deep Learning and Quantum Machine Learning (QML) to analyze CT scan inputs for accurate tumor size prediction, cancer stage detection, early diagnosis, and personalized care recommendations.
Virtual Classroom with Automated Summarisation
August 1, 2023 – October 1, 2023
Built a Virtual Meeting Platform with React.js for seamless virtual learning, real-time communication, and auto-generated meeting summaries emailed to hosts.
Data Analytics
AWS Academy
June 1, 2026 – Present
Python, Data Structures, SQL
SkillRack
June 1, 2026 – Present
ML, NLP, Java, Python
Infosys Springboard
June 1, 2026 – Present
Data Science Master
ALTAIR
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI and its applications, aligning well with an AI Engineer role. Participation in GDSC and Infinity AI club suggests a proactive and collaborative attitude. The diversity of projects (wellness companion, cancer detection, virtual classroom) indicates a broad interest in applying AI to different domains. However, the experience is primarily academic, and the internship is front-end focused, which might require adjustment to a pure AI engineering team culture.
Soft Skills & Operational Fit
The candidate lists leadership, communication, and decision-making as soft skills. The project descriptions indicate some level of collaboration and problem-solving. However, without specific behavioral assessment data or interview responses, it is difficult to fully assess operational fit and the depth of these soft skills.