Shruti Vyawahare

AI Engineer with 1+ year of production experience building and deploying LLM-powered agentic systems using LangChain, RAG, OpenAI, and Qdrant. Converted intern to full-time at Fulcrum Digital based on strong performance. Skilled in FastAPI, Azure Kubernetes Service (AKS), and Azure Virtual Desktop (AVD).

Junior AI Scientist at Fulcrum Digital (2025-06 – Present)

• Designed and built a relational database of 20+ tables with 250M+ rows for a parcel rate engine integrating UPS, FedEx and other carrier APIs to calculate real-time shipping charges (Fortune 500 Logistics Client).
• Built an end-to-end RAG pipeline extracting client PDFs using Pandas and OCR, storing embeddings in Qdrant and integrating OpenAI for accurate context-aware document Q&A.
• Developed an LLM-powered SQL agent converting natural language prompts into accurate MSSQL queries, reducing dependency on technical staff for data retrieval.
• Deployed containerized applications on Azure Kubernetes Service (AKS) and Azure Virtual Desktop (AVD); converted to full-time based on internship performance.

AI Intern at Fulcrum Digital (2024-06 – 2025-05)

• Built an LLM-powered fraud detection agent combining rule-based signals and ML risk scoring, improving fraud detection precision by 18% while reducing false positives by 25%.
• Collaborated with a cross-functional team on real-world client projects, contributing to production-ready AI solutions.
• Built and deployed 20+ AI applications leveraging OpenAI API, Gemini API, and Hugging Face models across NLP, document processing, and intelligent automation.

B.E. in Artificial Intelligence & Data Science – Amravati University (2021 – 2025)

HSC (12th) – Maharashtra State Board (2020 – 2021)