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Generative AI Engineer with 1+ years in LLM Application Development & RAG Pipelines
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 Graduate in Artificial Intelligence & Data Science (CGPA 8.19, Anna University, 2026) from P.S.R.R College of Engineering with production-grade experience in Generative AI, LLM application development, RAG pipelines, and agentic AI systems. Proficient in Python, FastAPI, LangChain, Claude API, prompt engineering, and vector databases. Hands-on with building and deploying AI-powered chatbots, LLM-based solutions, and cloud-deployed microservices on GCP. Strong problem-solving mindset with collaborative delivery experience - ready to contribute to innovative Generative AI products at Polluxa from day one.
Cultural Fit Analysis
The candidate's projects show a good breadth of AI/ML applications, from LLM-powered agents to real-time object detection and remote sensing. The target role is 'Generative AI Engineer', which aligns well with the candidate's stated skills and project experience in LLM and GenAI. The certifications also indicate a proactive approach to learning relevant technologies. However, the candidate is a fresher, which might require more mentorship and ramp-up time in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates a problem-solving mindset and collaborative delivery experience. The resume highlights agile communication and iterative delivery, suggesting a good fit for dynamic team environments. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.