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AI Engineer with less than a year in IoT & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science graduate with strong foundations in Python, C++, OOP, and IoT, seeking to contribute as a College Intern. Experienced in building IoT systems, AI prototypes, and data-driven applications, with proven ability to learn quickly and collaborate effectively in team projects.
Madhav Institute of Technology and Science
B.Tech · Internet of Things (IoT)
November 1, 2021 – May 1, 2025
Govt. Excellence Hr. Secondary School No.1
Matriculation (12th Grade)
July 1, 2019 – May 1, 2020
DRDE Gwalior (Ministry of Defence)
Dissertation Trainee
February 1, 2025 – May 1, 2025
Gwalior, Madhya Pradesh, India
Plant Disease Detection (AI/ML)
November 1, 2024 – November 1, 2024
Trained CNN model on 1,000+ plant images, achieving 82% classification accuracy. Automated detection workflow reducing manual inspection time by 60%.
Smart Home Automation Platform
May 1, 2024 – May 1, 2024
Engineered an IoT system enabling real-time control of 5+ home appliances. Integrated a React.js interface providing 95%+ command-response accuracy and smooth user experience.
Voice Controlled Bot (IoT Project)
January 1, 2023 – January 1, 2023
Programmed Arduino Uno to process 10+ voice commands for navigation and tasks. Integrated ultrasonic sensors ensuring 90%+ collision-free autonomous movement.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in IoT and AI/ML applications. The internship at a defense research organization indicates an ability to adapt to structured and potentially high-stakes environments. Participation in extracurricular activities like hackathon organization and sports suggests a proactive and collaborative personality, which generally aligns well with team-oriented cultures. The breadth of skills listed, from programming languages to hardware, indicates a versatile learner.
Soft Skills & Operational Fit
The candidate's involvement in organizing a hackathon and participating in a cricket team suggests leadership potential, teamwork, and organizational skills. The profile summary also highlights a proven ability to learn quickly and collaborate effectively, which are positive indicators for operational fit. However, without specific psychometric test results, a deeper assessment of stress handling or detailed work attitude is not possible.