Vamshi K.

Key Skills

Software

Other

Top Subject Matter

Conversational AI for document intelligence (PDFs/scanned docs/images)

Conversational AI over relational data and automated SQL generation

Insurance claims automation using agentic LLM workflows

Top Data Types

Document

Text

Top Task Types

Text Generation

Function Calling

Prompt + Response Writing (SFT)

Data Collection

Transcription

Freelancer Overview

Conversational AI Document Chatbot (RAG-based) — Amnet Digital. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Hyderabad, India, Amnet Digital (2025). AI-training focus includes data types such as Document and Text and labeling workflows including Text Generation, Function Calling, and Prompt + Response Writing (SFT).

Labeling Experience

Broker Buddy — Senior AI/ML Engineer (Aura Technologies Ltd)

OtherDocumentData Collection

Designed an LLM-based insurance comparison engine that generates policy comparisons and actionable insights from insurance documents. Implemented custom PDF parsing pipelines to extract, normalize, and structure policy information from unstructured documents for downstream LLM reasoning. Built and deployed a full-stack application to provide scalable production access to the comparison workflow. • Converted unstructured PDF text into structured fields suitable for comparison and insight generation. • Used LLM orchestration to generate comparisons based on normalized policy data. • Deployed Django services on AWS EKS for scalable production execution. • Utilized PostgreSQL and LangChain-style tooling to support structured comparison workflows.

2025 - Present

Customer onboarding and insurance chatbot — Senior AI/ML Engineer (Aura Technologies Ltd)

OtherTextPrompt + Response Writing (SFT)

Developed an agentic AI insurance chatbot that collects user details for insurance quote creation and answers questions about generated quotes. Configured prompt and client-specific conditions using YAML files to enable scalable customization across clients and use cases. Deployed the chatbot backend on Azure Kubernetes Service for production scalability. • Crafted and parameterized prompts and response behaviors via configurable YAML configurations. • Implemented dialogue flows that transform user inputs into quote-related outputs. • Integrated LangGraph-based orchestration for agent/chat behavior. • Deployed and maintained Django services on Azure AKS.

2025 - Present

Claims Automation — Senior AI/ML Engineer (Aura Technologies Ltd)

OtherDocumentFunction Calling

Built agentic AI workflows to automate insurance claim analysis, validation, and business checks using tool calling with an LLM. Implemented a configurable claims automation pipeline that extracts claim information from multiple intake channels and produces validation scores and reserve estimates. Integrated Outlook email ingestion for automated extraction and processing, enabling structured outputs for downstream validation. • Used tool calling to orchestrate multi-step claim analysis and validations. • Normalized and processed claim intake data from forms, chatbot dialogue, and emails. • Developed backend services in Django and deployed to Azure for scalable enterprise usage. • Implemented LangChain orchestration with OpenAI GPT-4.1 for agent execution.

2025 - Present

Junior Machine Learning Engineer - Amnet Digital

TextTranscription

Designed and developed conversational AI applications including a SQL-generating chatbot and RAG-based document chat experiences. Built backend services with Django and Flask APIs to connect frontends with LLM and retrieval services, supporting data visualization and document intelligence workflows. Deployed inference and frontend components on AWS infrastructure to enable production usage with GPU-optimized services where needed. • Implemented LLM-driven SQL generation and visualization modules for relational databases • Built RAG chat systems for PDFs, scanned documents, and images using OCR and retrieval • Created Flask/Django APIs for LLM service integration and frontend communication • Deployed services on AWS EC2 and RunPod for scalable inference and hosting

2023 - 2025

Conversational AI Visualization Chatbot — Amnet Digital

OtherDocumentText Generation

Designed an AI chatbot that interacts with relational databases by generating SQL queries from natural-language questions. Built supporting components that translate query results into visual insights to improve interpretability for end users. Deployed the backend services to AWS for reliable access and continued operation of the conversational system. • Created structured outputs (SQL queries) generated by LLM prompting from user intents. • Developed visualization modules that convert database results into charts/graphs. • Implemented Django backend and integrated LLM-driven query generation. • Utilized Python, LangChain, and OpenAI for end-to-end conversational workflow.

2023 - 2025

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Education

Work History