AI Engineer with less than a year in Data Science & Machine Learning
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Assessing your cultural and operational fit
B.Tech Graduate in Artificial Intelligence & Data Science (CGPA: 8.1) with strong expertise in Python, SQL, and Java. Skilled in developing Al-powered applications, machine learning models, and computer vision projects using OpenCV, Pandas, NumPy, and Scikit-learn. Hands-on experience in Python development, data analysis, and web technologies. Certified in Python Al, Artificial Intelligence Fundamentals, and Java Full Stack, with proven ability to deliver data-driven, innovative solutions for real-world problems.
Anand Institute of Higher Technology
Bachelor of Technology (B.Tech) · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Sri Jayeandra Saraswathy Vidyaalayaa D.J. Matric Higher Secondary School
Higher Secondary Certificate (HSC)
June 1, 2021 – May 31, 2021
Sri Jayeandra Saraswathy Vidyaalayaa D.J. Matric Higher Secondary School
Secondary School Leaving Certificate (SSLC)
June 1, 2019 – May 31, 2019
Surya Induction Engineering
Software Developer Intern
February 1, 2025 – March 31, 2025
India
AI-Powered Mock Interview Platform
June 28, 2026 – Present
Developed a web-based mock interview system with speech-to-text transcription and AI-generated feedback. Implemented a real-time dashboard for performance tracking and instant evaluation, enhancing interview readiness.
Industrial Downtime Prediction Dashboard
June 28, 2026 – Present
Built an interactive dashboard using Python and API keys to analyze and predict machine downtime. Automated data extraction, processing, and visualization, enabling real-time uptime/downtime insights.
Python & AI
GUVI
June 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM Skill Build
June 1, 2026 – Present
Java Full Stack
Wipro TalentNext
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work align well with an AI Engineer role, demonstrating an interest in applying AI/ML to solve real-world problems. The diversity of projects (mock interview platform, industrial downtime prediction, car obstacle detection) indicates a broad interest in AI applications. However, the limited professional experience (one short internship) and academic focus suggest a need for further development in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on data-driven solutions and integrate various technologies. The academic projects and internship show initiative in applying AI/ML concepts to practical problems. However, without psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.