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AI Engineer with 2+ years in AI and NLP
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AI/ML Engineer with 2+ years of experience in AI and NLP, spanning data annotation, model evaluation, prompt engineering, and Generative AI development. Recently transitioned into a Jr. NLP Engineer role, contributing to RAG applications, agentic workflows, conversational AI systems, and LLM-powered solutions using Python, LangChain, LangGraph, FastAPI, and Azure OpenAI.
The Maharaja Sayajirao University of Baroda
M.Sc. · Applied Physics
N/A – June 30, 2023
The Maharaja Sayajirao University of Baroda
B.Sc. · Physics
N/A – June 30, 2021
Turabit Solutions
Jr. NLP Engineer
November 1, 2025 – Present
Ahmedabad, Gujarat, India
Turabit Solutions
Data Annotator
September 1, 2023 – November 1, 2025
Ahmedabad, Gujarat, India
AI Document Generation & Agentic RAG Chatbot System
June 6, 2026 – Present
Developed an Agentic RAG chatbot and document generation system using OpenAI, LangChain, FastAPI, MySQL, ChromaDB, and Notion API. Implemented memory-based retrieval, reranking, query refinement, and intent routing for document search and comparison. Integrated AI agents for document retrieval, comparison, ticket generation, and evaluation using RAGAS.
View ProjectNotion AI Assistant
June 6, 2026 – Present
Developed an AI assistant for Notion workspace automation using LangGraph, FastAPI, Streamlit, and natural language commands. Integrated MCP-based tools with Azure OpenAI GPT-4 and Groq LLMs for intelligent CRUD operations on Notion pages and databases.
View ProjectCultural Fit Analysis
The candidate's project diversity, including an 'AI Document Generation & Agentic RAG Chatbot System' and 'Notion AI Assistant', demonstrates a proactive approach to learning and applying new technologies. The experience as a Jr. NLP Engineer aligns well with an AI Engineer role, indicating a clear career trajectory in AI/ML. The breadth of skills listed (Python, various frameworks, LLM APIs, databases) suggests adaptability and a willingness to explore different tools, which is positive for cultural fit in a dynamic AI environment. The academic background in Physics, while not directly CS, provides a strong analytical foundation.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with cross-functional teams, suggesting good teamwork and communication skills. The transition from Data Annotator to Jr. NLP Engineer within the same company shows initiative and a desire for growth. Project descriptions are clear, indicating good written communication. However, without specific psychometric or English test results, a deeper assessment of soft skills and operational fit is limited.