Aishwarya Nadimpally

Led design and development of enterprise custom GPT solutions and MCP extensions, integrated JIRA/Confluence/Databricks/SharePoint, and delivered Power BI dashboards to support executive decision-making.

Sole AI agent developer who designed and deployed omnichannel intelligent agents, integrated HubSpot/Shopify/Salesforce, and implemented RAG and persona-based prompting to improve accuracy and time-to-market.

Developed an emotional-support chatbot using LLaMA, OpenAI, Claude and Pinecone-based RAG pipeline, built serverless AWS integrations, and evaluated models for empathetic conversational performance.

Led development of a product-support chatbot on AVAAMO, fine-tuned BERT for conversation classification, built Power BI analytics from SQL/chat logs, and reduced support issues by 40% while managing a team of 4.

Developed chatbots across Azure/AWS/Google, integrated AWS Lex with Amazon Connect and ServiceNow, and optimized RAG techniques using OpenAI models, delivering a universal multi-bot solution that improved cost efficiency.

Technical lead for chatbot platform work, implemented serverless CI/CD pipelines, CloudFormation ingest, AWS Translate, Kinesis-based analytics, and built frontend/backends with Amplify, DynamoDB, and S3.

Translated business requirements into technical specs, managed server upgrades and tool licensing, and performed data analysis using SQL and Excel to support project delivery.

Activities and societies: Capstone project: developed a Dash application and spatial-temporal multi-output supervised learning model for predicting mining locations and analyzing 10 years of drilling trends.

Completed a Master’s in Data Science with coursework and projects focused on data wrangling, visualization, machine learning, and deployment of analytics dashboards.

Earned a Bachelor of Technology in Electronics and Communication Engineering with projects involving data analysis and engineering applications.