Vishal Goswami

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Strong proficiency in modern frontend technologies (React, TypeScript) as validated by assessment, which can be valuable for AI application interfaces.
• Practical experience in AI/ML workflows, computer vision, and model optimization through internship and projects (AgroBot, LeetNotes, LinkSaver).
• Familiarity with key AI/ML libraries and tools including Python, TensorFlow, Deep Learning, and Google Gemini API.
• Solid academic background and relevant certifications in AI/ML and Data Science.
• Demonstrated ability to build full-stack applications with AI integration.
• Role Match: The candidate's profile describes strong AI/ML capabilities and project experience. However, the primary validated technical skill is frontend development, and there is a critical gap in general technical aptitude, which is essential for an AI Engineer role.