Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Full-Stack Development & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science Engineering Graduate (2026) with hands-on experience in Full-Stack Development, Generative AI, Retrieval-Augmented Generation (RAG), and AI-powered applications. Skilled in Python, SQL, Flask, LangChain, LangGraph, AWS Cloud, and modern web technologies. Experienced in developing scalable applications, integrating AI solutions, and solving real-world problems through technology. Strong problem-solving mindset, adaptability to new technologies, and passion for building innovative software solutions.
Cultural Fit Analysis
The candidate's project diversity, including an AI-focused RAG system and a full-stack web application, shows a broad interest in technology application. The 'Farm to Door Delivery' project, recognized as 'Best Project,' indicates a drive for impactful work. However, the candidate is still pursuing their B.Tech degree, which suggests a junior experience level despite the 'senior' target role. This creates a potential mismatch in expectations for a senior AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates a strong problem-solving mindset and adaptability to new technologies. Their experience as a team lead suggests leadership potential and collaboration skills. However, without specific psychometric or English test results, a comprehensive assessment of stress handling, work attitude, and communication clarity in a professional setting is limited.