Muralidhar Reddy Email & Phone Number

United States

• Fine-tuned language models such as BERT, GPT-3,Hugging face modles, claude 3 using EHR datasets to better understand and handle medical data.
• Developed RAG models using LangChain and integrated them with multiple LLMs like GPT-4, LLaMA, Bloom, and BioBERT.
• Combined multiple LLMs to enhance information retrieval and generation, providing comprehensive responses in healthcare applications.
• Evaluated and optimized models like T5 and BioBERT with healthcare-specific metrics to ensure high accuracy in EHR data processing.
• Deployed AI models using Flask to integrate them seamlessly with healthcare systems and applications.
• Created APIs and managed server-side functionalities to maintain robust model performance in production.

• Performed data cleaning, preprocessing, and transformation using Python libraries and langchain.
• Ensured efficient data retrieval and integration related to health care data with RAG models using graph databases.
• Developed Python scripts and applications for automating administrative (health care appointment) tasks for LLM bots.
• Utilized AWS bedrock and service of AWS for LLM model and data handle. Text to speech model for voice recognizing in chat bot using Hugging face model.
• Developed training programs and created user manuals for staff on using RAG tools and Promote engineering.
• Performed data cleaning, preprocessing, and transformation using Python libraries and LangChain to ensure high-quality input for AI models.

Tampa, Florida, United States

• Extracted different types of data using Langchain, python, beautiful soup from different resources like websites [selenium python], pdf [1000], excel, Json, SQL, datasets and so on.
• Consolidated all data into Singled document and stored in local file. Text cleaning & filter the document text content to create a corpus, suitable for analysis.
• Segmented the corpus into 512 chunks and converted the text into numerical representations (embeddings) using text-embedding-3-large from OpenAI for efficient retrieval.
• Stored each chunk into Pinecone vector database using Cosine similarity format. Retrieve relevant document using pinecone API based on user query.
• Implemented Retrieval-Augmented Generation RAG model using GPT-4 from OPEN AI to get appropriate solution based on user query and displayed to end user.
• Fed the extracted relevant document from pinecone vector database to LLM model using Langchain, python, API.

Chennai, Tamil Nadu

• Created & developed different RPA bots with solution diagrams, explanations, and high-level visual representations, collaborating closely with team members to ensure seamless integration and functionality.
• Collected & preprocessed data for ML projects, resulting in data sets with 95% improved quality & accessibility.
• Designed & deployed machine learning micro-services in Python, utilizing the Flask framework for architecture and implementation.
• Utilized Scikit,TensorFlow, PyTorch, or Keras frameworks to train ML, deep neural networks, contributing to the development of 5+ successful models.
• Implemented learning rate scheduling and early stopping techniques in natural language processing models for sentiment analysis, reducing training time by 20%.
• Designed and implementation of on-premises MLOps solutions, collaborating with data scientists and software engineers.

Hyderabad, Telangana, India

• Implemented machine learning algorithms [base models], ensured data quality and accessibility.
• Analyzed and understood ML code, adept at bug fixing and proficient in new program development.
• Performed thorough exploratory data analysis (EDA) on large datasets, leading to the development of visually engaging Tableau dashboards that provided profound insights.
• Engaged in continuous learning, participating in code reviews, and adhering to best practices for AI development.
• Participated in troubleshooting and debugging of user issues, demonstrating commitment to reliability and performance of AI solutions.
• Learned and applied AI frameworks such as Scikit learn, NLTK in developing and implementing machine learning models.

Business Analytics & Information Systems, 3.7/4 Cgpa

Activities and Societies: Student proctor & USF IT• Master of Science in Business analytics & information systems while working as a.

Bachelor Of Technology - Btech, Information Technology, 8.32/10 Cgpa