AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

• Strong academic foundation in Electronics & Telecommunication Engineering.
• Diverse technical skills covering front-end (HTML, CSS, JavaScript), back-end (Node.js, MySQL), multiple programming languages (Python, Java, C, C++, JavaScript), AI/ML tools (Pandas, Matplotlib, Generative AI, Deep Learning), and core computer science concepts (OOP, DSA, Operating Systems, SDLC, Networking).
• Practical project experience demonstrating application development (AI-Powered Report Generator), ML model implementation (Stock Price Prediction), and hardware integration (Robot - The Water Cleaning Machine).
• Certifications in Oracle Java, AWS Cloud, and Microsoft Azure indicate proactive learning and foundational cloud knowledge.
• Internship experience in AI and Microcontroller Applications provides early exposure to practical engineering challenges.
• The combination of full-stack, AI/ML, and core CS skills aligns with the requirements of an Application Engineer role, particularly in areas involving data processing and intelligent systems.