Prathyush Malladi
Vijayawada
Summary
Results-oriented AWS Data Engineer and Generative AI Developer with 3.5 years of IT experience in constructing scalable data pipelines, cloud-native architectures, and AI-enhanced applications.
Overview
4
4
years of professional experience
Work History
Generative AI Developer
Accenture
Hyderabad
04.2024 - Current
- Designed and deployed LLM-powered applications utilizing AWS Bedrock.
- Implemented retrieval-augmented generation (RAG) pipelines to enhance answer accuracy by 40%.
- Applied prompt engineering to create multi-agent workflows with AWS Agents framework for automation of complex tasks.
- Integrated AWS services with GenAI models, delivering scalable, low-latency AI solutions.
- Developed AI chatbots and assistants using AWS Lex and Bedrock, reducing manual support efforts by 30%.
AWS Data Engineer
Accenture
Hyderabad
02.2022 - 02.2024
- Constructed and optimized ETL pipelines with AWS Lambda, S3, and Python for large-scale data processing.
- Designed and automated workflows in Amazon Redshift using Python and SQL, enhancing reporting efficiency by 35%.
- Implemented real-time data processing and monitoring through AWS CloudWatch and DynamoDB to ensure data reliability.
Education
Bachelor of Technology - Computer Science
VFSTR (Vignan's University)
Guntur, Andhra Pradesh, India08-2019
Skills
- Generative AI technologies
- Prompt engineering
- ETL process design
- AWS cloud services
- Data analysis and SQL
Projects
Logistics data storage and processing
- Built and maintained AWS Lambda functions to process raw logistics data, including shipments and containers, from varied sources, such as tables and files
- Designed data pipelines to filter, clean, and transform datasets using Pandas and NumPy, storing structured results in Amazon Redshift for analytics
- Improved data ingestion efficiency by creating new Lambda functions for emerging use cases, while maintaining existing ones
Transcript summarization for customer chatbot
- Optimized prompt engineering workflows to enhance transcript summarization accuracy for customer-facing applications
- Modified and deployed Lambda functions to handle evolving use cases, ensuring smooth integration with the chatbot backend
- Collaborated in a CI/CD environment using Terraform pipelines and Git branching workflows, including hands-on usage, maintenance, and updates
Proof of concepts (PoCs)
- RAG-based PDF search (AWS Bedrock): built a retrieval-augmented generation system for document search using Amazon Bedrock, implemented embeddings, and efficient chunking to improve response relevance
- Conversational AI (Lex + Bedrock Agents): configured Lex bot with multi-agent orchestration for advanced task handling and context-aware conversations
- Agentic AI with multi-agent collaboration: designed AI agent workflows enabling role-specific collaboration between multiple agents for better decision-making
- Speech AI Bot (Nova Sonic): Developed a speech-to-speech conversational bot leveraging the Nova Sonic model, integrated with a multi-agent setup to simulate human-like, natural voice interaction
Timeline
Generative AI Developer
Accenture
04.2024 - Current
AWS Data Engineer
Accenture
02.2022 - 02.2024
Bachelor of Technology - Computer Science
VFSTR (Vignan's University)
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