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AI Engineer with less than a year in GenAI applications, LLMs, and 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
Entry-level AI Engineer with hands-on experience building GenAI applications using LLMS, RAG, LangGraph, and Azure AI services. Skilled in developing scalable AI solutions, backend APIs, and intelligent workflows with a strong foundation in Python and system design
Jain University (JU)
MCA (Master of Computer Applications) · CSIT
N/A – March 1, 2026
Sree Vidyanikethan Degree College
Bsc (Bachelor of Science) · MSCS
N/A – May 1, 2022
Enterprise Healthcare RAG Assistant (Azure + GenAI)
June 24, 2026 – Present
Built an Enterprise Healthcare RAG Assistant on Azure using Azure OpenAI (GPT-40) for answer generation and Azure AI Search for vector retrieval, orchestrated via a LangGraph 7-node workflow with confidence scoring, fallback handling, and conversational memory. Designed an Azure Blob Storage + Azure Data Factory (ADF) pipeline for healthcare document ingestion, processing PDFs with OCR and chunking content into semantic embeddings stored in Azure AI Search and Azure Database for PostgreSQL. Implemented a Neo4j AuraDB knowledge graph with medical entities and relationship mapping using Azure OpenAI entity extraction, enabling multi-hop clinical reasoning beyond traditional vector search. Developed a Doctor Portal using Streamlit, featuring citation-backed responses, confidence indicators, graph visualization, and persistent chat history, with scalable document processing powered by Azure Databricks.
Travel Planning System using Multi-Agent AI
June 24, 2026 – Present
Built a LangGraph-based multi-agent travel planner with specialized agents for flights, hotels, itineraries, and validation. Implemented a Supervisor-Agent architecture with shared state management for reliable agent coordination and decision-making. Developed and deployed a Streamlit application supporting multi-city trips, travel preferences, and automated itinerary generation.
SQL QA + RAG Chatbot
June 24, 2026 – Present
Built a GenAI-powered system that converts natural language questions into SQL queries for Excel-based datasets. Developed a RAG pipeline with document retrieval, embeddings, and citation-grounded responses. Created a FastAPI and Streamlit solution for document ingestion, conversational querying, and analytics visualization.
Full Stack Development
Unknown
June 1, 2026 – Present
PGDPM in Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in the AI/GenAI domain, aligning well with an AI Engineer role. The diversity of projects (healthcare RAG, travel planner, SQL QA chatbot) shows a broad application of AI skills and a proactive learning attitude. The use of modern AI stacks (LangGraph, Azure OpenAI) indicates an alignment with current industry trends. The personal nature of all projects, while impressive for an entry-level candidate, means there's no direct evidence of working within a corporate culture or large team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex requirements into functional AI systems. The focus on end-to-end solutions, from data ingestion to user interfaces, suggests a practical and results-oriented approach. The use of various tools and frameworks implies adaptability and a willingness to learn new technologies. However, without direct work experience, it's difficult to assess collaboration, stress handling, or direct operational fit in a team environment.