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AI Engineer with less than a year in Generative AI & RAG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer specializing in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-based applications. Experienced in building AI chat systems and intelligent automation solutions using Python, open-source LLMs, vector databases, and PostgreSQL. Strong background in machine learning, deep learning, and NLP with a focus on developing scalable AI-driven applications.
Daksh Gurukul, IIT Guwahati
Program · Data Science
August 1, 2025 – Present
KGISL INSTITUTE OF TECHNOLOGY
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
IQ General Systems Pvt. Ltd.
AI Engineer Trainee
October 1, 2025 – March 31, 2026
Coimbatore, Tamil Nadu, India
Emglitz Technologies
Data Science Intern
May 1, 2025 – July 31, 2025
India
Cultural Fit Analysis
The candidate's experience is primarily focused on AI/ML development, which aligns well with a technical AI Engineer role. The projects demonstrate an interest in practical application of AI. However, the limited diversity in project types (primarily chat/NLP and image classification) and the absence of team-based project descriptions make it difficult to fully assess cultural fit regarding collaboration and adaptability to diverse challenges. The experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's resume indicates a project-oriented approach, suggesting good problem-solving and execution skills. The description of improving response accuracy to 95-98% implies attention to detail and a results-driven mindset. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.