Bhargavi Prathipati
Ai Ml Specialist @Truist
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WORK HISTORY
Ai Ml Specialist @Truist
US
Designed and deployed AI and machine learning solutions to improve business operations, decision-making, and customer experience.Built LLM-based chatbots using RAG (Retrieval-Augmented Generation) pipelines with LangChain, LlamaIndex, and Cosmos DB for intelligent document summarization and retrieval.Integrated AI and NLP models into enterprise systems to automate workflows and enhance user engagement.Fine-tuned and deployed large language models (LLMs) such as Azure OpenAI and Llama 2/3 for real-time summarization, content search, and predictive analytics.Developed MLOps workflows across Azure, AWS, and GCP to streamline model training, deployment, and monitoring.Collaborated with cross-functional teams including product managers, engineers, and data scientists to identify AI opportunities and deliver scalable solutions.Created React-based AI interfaces and APIs to integrate machine learning outputs into user-facing applications.Mentored data scientists and ML engineers, helping accelerate the adoption of modern AI technologies across the organization.Optimized cloud infrastructure and model costs by automating deployment, monitoring, and scaling processes.Championed AI innovation and ethical best practices, driving data-driven transformation within the enterprise.
EDUCATION
University of South Florida
Master's degree
ABOUT BHARGAVI PRATHIPATI
Highly skilled and results-driven Machine Learning Engineer, Gen AI and Agentic AI with a strong background in analytics, statistical modelling, machine learning.• Designed and implemented fine-tuning techniques for LLMs, tailoring models to specific industry applications such as customer support, content generation, and data analysis.• Collaborative and innovative, adept at partnering with cross-functional teams to drive data-driven improvements and stay updated with emerging trends and technologies in data science.• Expertise in Deep Learning, Predictive Model Development, and Machine Learning. Proficient in utilizing R, Python, and Git to develop and train accurate machine learning models.• Expert using ML Flow in deploying Machine learning solutions to the clients.• Proficient in developing sophisticated ML models using PyTorch, TensorFlow, and Keras, focusing on time series analysis, CNNs, Mask R-CNN, and Transformer models including BERT variants.• Experienced in building robust recommendation systems utilizing both content-based and collaborative filtering techniques to drive user engagement and personalize experiences.• Skilled in programming with a strong command of Python and its data science libraries (NumPy, Pandas, Sklearn), along with Java, Node.js, ReactJs, and C/C++ for full-stack development.• Expert in deploying scalable machine learning models in the cloud using AWS services (S3, EC2, ECR, DynamoDB, Lambda), Azure Databricks, and GCP, ensuring high availability and performance.• Designed and deployed scalable ML solutions on Google Cloud Platform (GCP) using Vertex AI, Big Query, and Cloud Functions for real-time and batch processing.• Implemented end-to-end MLOps pipelines on GCP with model monitoring, CI/CD workflows, and automated retraining using Vertex AI Pipelines and GCP-native services.• Developed front-end using Html, CSS, JavaScript, React, Redux, Bootstrap.
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