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Full Stack Engineer with less than a year in Industrial Automation & AI/ML Development
Electronics and Communication Engineering graduate with hands-on experience in Industrial Automation, Embedded Systems, Internet of Things, Networking, and Full Stack Development through academic projects and internship training. Skilled in Python, React JS, Flask, MongoDB, PLC Programming, and cloud deployment platforms. Experienced in developing intelligent applications using Machine Learning, Computer Vision, and web technologies. Strong analytical and problem-solving abilities with a passion for building innovative and scalable solutions. Open to entry-level opportunities in Embedded Systems, Industrial Automation, Internet of Things, Networking, Cloud Computing, and Software Development.
A.V.C College of Engineering
Bachelor of Engineering · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Raj Matriculation Higher Secondary School
Higher Secondary Certificate · Science stream – Mathematics, Physics, Chemistry, and Computer Science
N/A – Present
Raj Matriculation Higher Secondary School
Secondary School Certificate
N/A – Present
Armada Industrial Automation
Industrial Automation Intern
July 1, 2025 – August 31, 2025
Thanjavur, Tamil Nadu, India
AgriVerse 4.0 – Al-Powered Smart Agriculture Platform
January 1, 2026 – June 1, 2026
Built a full stack smart agriculture platform using React JS, Flask, MongoDB, HTML, CSS, and JavaScript across 4 integrated modules. Integrated 3 machine learning models for plant disease detection, weather prediction, and fertilizer recommendation. Designed responsive dashboards and 5 REST API endpoints for real-time crop monitoring and decision support. Added farmer-focused features including crop recommendations, early warning alerts, and agricultural insights for over 5 use cases. Deployed frontend and backend services across 2 cloud hosting platforms for scalable and reliable access.
Hand Sign Recognition and Gesture to Speech System
January 1, 2024 – December 31, 2024
Developed a real-time hand gesture recognition system using Python, OpenCV, and MediaPipe to classify 26 hand signs. Connected text-to-speech functionality to convert recognized gestures into voice output in real time. Created an assistive tool to support speech-impaired users through an intuitive gesture-to-voice interface for 2 output modes. Applied computer vision techniques for accurate hand tracking and gesture classification across 21 landmark points. Improved accessibility for speech-impaired users by enabling real-time non-verbal communication support.
Network Technician Career Path Badge
Cisco Networking Academy
June 1, 2026 – Present
Mastering KiCad: Open-Source PCB Design for Beginners
Coursera
June 1, 2026 – Present
Digital Signal Processing
Coursera
June 1, 2026 – Present
Introduction to Frontend Development
Coursera
June 1, 2026 – Present
Introduction to Networking
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse interest in AI/ML, web development, and embedded systems, indicating a broad technical curiosity. The internship in industrial automation, while not directly full-stack, demonstrates a willingness to learn and adapt to different technical domains. This breadth of interest and foundational knowledge could contribute positively to a dynamic team environment. However, as an entry-level candidate, the direct cultural fit with a specific company's values and work style would need further assessment during interviews.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and a passion for building innovative solutions, which are positive indicators for operational fit. The focus on assistive technology and smart agriculture suggests an interest in impactful applications. However, with limited professional experience, the depth of soft skills like teamwork, leadership, and adaptability in a corporate setting is yet to be fully demonstrated.