Help & Supportcareers@gravityer.com
AI Engineer with less than a year in RAG pipelines & NLP
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 CSE (AI & ML) graduate with hands-on experience in Python, Machine Learning, NLP, RAG pipelines, and full-stack development. Completed an Advanced Generative AI internship building production-grade Retrieval-Augmented Generation systems with LangGraph and ChromaDB. Seeking entry-level roles as an AI/ML Engineer, Python Developer, or Data Analyst.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interests within AI/ML, from conversational intelligence to inventory management and resume parsing. This diversity suggests adaptability and a willingness to explore different problem domains. The target role of 'AI Engineer' aligns well with the candidate's stated interests and project work. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The resume indicates a proactive approach to learning and applying AI/ML concepts through internships and projects. The candidate has experience working on end-to-end solutions, suggesting good problem-solving and project execution skills. However, without specific behavioral assessment data, a detailed analysis of soft skills and operational fit is limited.