KOTTHIREDDY MANJULA

1. Financial firm User Query Application :
- Client: Financial institution in the USA, provider of historical and current financial, employment, and payroll data for both private and public US companies.
- Goal: Collect data from different sources and store it into AWS Redshift. Develop an application to answer user queries by finding relevant information from different data stores.
-Technologies Used: OpenAI LLMs, Langchain Framework, RAG methodology, AWS Redshift.
2. Predicting Failures of UFO Devices:
- Goal: Predict failures (e.g., brake failures, flat tire predictions) of UFO devices used for testing ADAS systems.
- Data Collection: Gather data from different IoT devices and other systems into AWS using IoT and store in S3.
- Data Processing: Structured data using Glue data pipeline.
- Model Development: Data preprocessing, training, and evaluation using SageMaker pipeline. Model registered in AWS model registry.
- Deployment: Triggered a Lambda function on version approval in model registry, created a deployment package with inference code and trained model, and deployed to IoT devices using Greengrass.
- Technologies Used: AWS IoT, S3, Glue, SageMaker, AWS model registry, EventBridge, Lambda, Greengrass.
EDBot Application:

• Goal: Designed and implemented a machine learning solution for an EDBot (Electronic Device Bot) application.
• Data Processing: Leveraged SageMaker to parse device-specific documents, generate embeddings, and store them in the database.
• Model Development: Utilized large language models (LLMs) and performance-efficient fine-tuning methods (PEFT) such as LoRA to enhance model performance in generating accurate answers to user queries related to device-specific design information. Handled data processing, feature engineering, model training, and evaluation using SageMaker’s built-in algorithms and custom code.
• Technologies Used: Python, TensorFlow, Amazon SageMaker, LLMs, LoRA, Langchain, React, NodeJS, MongoDB.

• Administering multiple functions related to technical deliverables and Project Management; Solution designing, managing the end-to-end project deliverables, client communications, onsite interactions, team management, project kick-offs, project closures by addressing all stakeholder's concerns