Chenna Kesava Reddy Yenugu

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Demonstrated strong project-based experience in AI/ML, deep learning, and full-stack development (Python, Flask, React.js - learning).
• Proficiency in Python, including frameworks like Flask, and experience with various AI/ML APIs (LLAMA, Gemini, Cohere).
• Practical application of deep learning models (ResNet CNN) for real-world problems (Lung Nodule Detection System).
• Experience with database integration (PostgreSQL, Firebase, Supabase) and authentication mechanisms (Firebase Auth, Google OAuth).
• Certifications in Microsoft Azure AI Fundamentals, Python Full Stack, and Google AI/ML indicate a proactive approach to learning and foundational knowledge.
• However, the candidate's current experience level (0, student with expected graduation 2026) is a significant mismatch for a 'Lead Python Engineer' role, which typically requires extensive professional experience, leadership, and advanced system design expertise.