Manjunadha Reddy

Dynamic Full Stack Generative AI Developer with extensive experience in designing and deploying AI models across cloud platforms. Expertise in Google Cloud and Azure, specializing in prompt engineering and large language models. Proven ability to integrate AI solutions with frontend technologies, ensuring seamless user experiences, while managing databases and developing REST APIs for optimized performance. Committed to delivering innovative, high-quality solutions that align with customer needs through collaborative teamwork.

AI-Powered Chatbot System

• Designed a chatbot to assist medical agents in recommending personalized healthcare coverage plans based on patients' demographics and medical backgrounds.
• Implemented a Retrieval-Augmented Generation (RAG) system using LangChain and FAISS VectorDB for efficient retrieval of plan-related information.
• Integrated Google Cloud Storage to host and query plan documents dynamically, ensuring scalability and reliability.
• Enabled an interactive question-answer flow to filter and refine plan options, delivering a final recommendation tailored to patient needs.
• Improved real-world efficiency by streamlining plan selection, reducing decision time, and enabling data-driven recommendations.

AI-Powered Contract Management System

• Developed an AI bot named "LLM" to update and manage provider contracts efficiently.
• Designed a user-friendly dashboard for entering provider information and instructions for the AI bot.
• Enabled dynamic contract preview and modification through the "Preview Contract Document" feature.
• Implemented functionality for querying and updating reimbursement rates, adding new line items, and making multiple simultaneous updates.
• Integrated Cloud Storage for scalable and reliable hosting and querying of contract documents.
• Improved contract management efficiency by reducing update time and ensuring accuracy in modifications.

GenAI-based G&A Categorization Assistant

• I played a key role in integrating a GenAl-based G&A Categorization Assistant into the Grievances and Appeals (G&A) intake process. This project aimed to enhance the efficiency and accuracy of case management by automating the categorization of cases, resulting in significant improvements in operational efficiency and case handling.
• Tech Stack: Google Cloud, Prompt Engineering, Python, Vision Models, Google LLM models, SQL Server Management, Document Reading Embedding and Chunking.

AI Language Translation Application

• The AI Language Translation project focuses on enhancing productivity and accuracy in various tasks through comprehensive application services. These services include text extraction, proofreading, blog generation, and translation, all designed to streamline workflows and improve user experience.
• Objective: To provide a complete solution for managing text and documents efficiently, enhancing user productivity and accuracy.
• Tech Stack: · Google Cloud Platform, Google Secret Manager, Prompt Engineering, Vision Models, Python, SQL, Docker, Azure Kubernetes Services

• Advanced: Generative AI for Developers Learning Path By GCP
• Executive Briefing: Artificial Intelligence (AI) + ChatGPT By DeepLearning
• GSI NVIDIA Technologies Curriculum (2024)
• NVIDIA Technical Curriculum (2024)

• Received recognition for achieving targeted milestones in Google LLM capability development within two months. Delivered two significant PoCs with minimal technical assistance. This accomplishment demonstrated Generative AI capabilities and significantly contributed to the future development of practice areas.

• Photography
• Poster Making
• Problem Solving

• English
• Telugu
• Tamil