
AI Engineer with less than a year in AI projects & software development.
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Assessing your cultural and operational fit
Enthusiastic Software Engineering and IT fresher with a B.Tech in Artificial Intelligence & Data Science (2025). Skilled in programming, databases, and software development, with hands-on experience in AI projects and internships. After graduation, faced a temporary career break due to medical recovery following an accident, during which continued learning through certifications and projects. Now fully prepared to contribute, seeking entry-level opportunities in software development, IT, or data-driven roles.
Dhaanish Ahmed College of Engineering - Chennai
B.TECH · ARTIFICIAL INTELLIGENCE & DATA SCIENCE
August 1, 2021 – June 30, 2025
Pyroferus
Internship
July 1, 2024 – August 1, 2024
India
AI-Based Automated Medical Diagnosis
June 18, 2026 – Present
Developed and deployed a chatbot application using Python, Flask, and transformer models. Designed an AI-based symptom checker using BERT and GPT for preliminary medical guidance. Achieved 92% precision and 89% recall in symptom extraction. Ensured GDPR-compliant design, secure backend, and high user satisfaction.
Python Programming
Udemy
June 1, 2026 – Present
AI Fundamentals: Essential Guide to Artificial Intelligence
Udemy
June 1, 2026 – Present
Microsoft EXCEL
Naan Mudhalvan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project in AI-based medical diagnosis shows initiative and an interest in impactful applications of technology. The certifications indicate a self-driven learning approach. However, the limited professional experience and project diversity make it challenging to fully assess cultural fit beyond a basic alignment with a learning-oriented environment. The target role of 'AI Engineer' aligns well with the candidate's educational background and project focus.
Soft Skills & Operational Fit
The candidate's internship experience highlights teamwork, problem-solving, and the ability to apply learned concepts. The project description also indicates an understanding of user satisfaction and secure design, which are positive operational traits. However, the overall experience level is very limited, suggesting a need for significant guidance and ramp-up in a professional setting.