Pranav Kakade

PROJECT 1: GenAI Chatbot (Team size - 3)

Description:

A Gen AI chatbot designed to provide instant access to real-time plant information by converting natural language queries into SQL,This chatbot saved time for both customers and support staff, allowing them to focus on their core tasks.

Responsibilities:

• Built a GenAI chatbot using LangChain, Bedrock Claude, Pinecone (RAG), allowing plant managers to query factory data in natural language and receive real-time response generated via dynamically constructed SQL
• Designed an agentic workflow for context-aware question parsing and SQL generation using Langchain
• Integrated with AWS Lambda,RDS (PostgreSQL) and S3 for scalable deployment and data persistence.
• Chatbot feature recognized by AWS in their blog on GenAI in energy and asset performance management

PROJECT 2: Vibration Analysis Assistant (Team size - 3)

Description:

An intelligent assistant designed to automate the vibration analysis of industrial assets, providing diagnostic reports and early fault detection insights.

Responsibilities:

• Built using LangChain, LangGraph, Bedrock Claude, FastApi, Agents and google vision api
• Applied statistical methods including Interquartile Range (IQR) and Moving Average to detect anomalies in time-series vibration data
• Used Pandas and Matplotlib for signal processing, and visualizations
• Used prompt engineering techniques for generating accurate reports.
• Used serverless Framework for deployment

PROJECT 1: DevOps-in-a-box (Team size - 5)

Description:

DevOps-in-a-box is a DevOps accelerator that helps you transform into well-organized release events so that you can focus more on providing quality value without worrying about delays and rising costs

Responsibilities:

• Designed and Developed DynamoDB database structure with serverless framework. Developed project using serverless framework,AWS Lambda,Cloudwatch,s3,Dynamodb,API Gateway,Cloudformation and many other services.
• Built GitLab CICD and GitHub actions templates.
• Involved in complete Software Development Life Cycle including gathering requirements, Analysis, Design, Implementation, Testing and Maintenance.
• Introduced new features and solved existing bugs.
• Written functional api test cases using Pytest with code reusability and minimal duplicity.

PROJECT 2: aiTest-Now (Team size - 6)

Description:

aiTest-now helps you deliver high-quality products faster by integrating your functional QA Automation for your application parallel testing across browsers & versions. aiTest configures the entire system automatically with various users, triggers automated tests, and collects results.

Responsibilities:

• Developed project using Serverless Framework, AWS LAMBDA, CloudWatch, ECS, SQS, S3, DynamoDB, API Gateway, and many other AWS services
• Development of Python api’s for implementing new features and fixing existing bugs.
• Implemented Python Selenium automation for Chrome and Firefox browsers.