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AI Engineer with less than a year in LLMs, RAG & Agentic 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
AI/ML Engineer with 1+ year of experience building production-grade LLM applications, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI systems using Python, LangChain, and LangGraph. Demonstrated 40% improvement in enterprise query handling efficiency via Graph RAG and knowledge graph architectures. Skilled in scalable backend design (FastAPI, Docker), vector search, prompt engineering, and cross-functional Agile delivery.
Saveetha Engineering College, Chennai
B.E · Computer Science
August 1, 2021 – June 30, 2025
Softreey Technologies
AI/ML Engineer
October 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Netscout
Machine Learning Intern
July 1, 2025 – September 1, 2025
Bengaluru, Karnataka, India
Enterprise AI Chatbot & Graph RAG System
June 1, 2026 – Present
Architected Neo4j knowledge graph workflows enabling structured, relational data retrieval for complex enterprise query resolution at scale. Implemented LangGraph agentic workflows for multi-step reasoning and contextual AI responses with low-latency, concurrent user support. Developed scalable FastAPI backend with real-time DB synchronization, Docker containerization, and CI/CD integration.
RAG-Based Intelligent Query Resolution
June 1, 2026 – Present
Built end-to-end RAG pipeline: document ingestion, semantic chunking, embedding generation, vector retrieval, and LLM response synthesis. Implemented modular WebSocket-integrated backend for real-time, low-latency AI conversations with robust API error handling.
Machine Learning - Simplilearn
Simplilearn
June 1, 2026 – Present
AWS Academy Cloud Security Foundations
Unknown
June 1, 2026 – Present
Introduction to Generative AI - Google Cloud
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience align well with an AI Engineer role, focusing on modern AI paradigms like RAG and Agentic AI. The diversity of projects (healthcare, restaurant management, enterprise query resolution) indicates adaptability. However, the experience level is relatively low (1+ year), which might require more mentorship in a senior role. The psychometric test score is 0, which means no data is available to assess logical reasoning, work attitude, stress handling, or team collaboration, making a comprehensive cultural fit assessment difficult.
Soft Skills & Operational Fit
The candidate demonstrates an understanding of Agile methodologies and cross-functional collaboration, as evidenced by their experience in Agile sprints, deployment, testing, and technical documentation. The English test score suggests there might be some room for improvement in communication clarity, which is crucial for operational fit in a senior role.