Srilaxmi Peddiboina
Senior Generative Ai & Machine Learning Engineer @UnitedHealth Group
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WORK HISTORY
Senior Generative Ai & Machine Learning Engineer @UnitedHealth Group
Las Vegas, NV, US
Designed and deployed Generative AI and Large Language Model (LLM) solutions using models like GPT and LLaMA for healthcare analytics and NLP applications. Built end-to-end machine learning pipelines using Python, AWS SageMaker, AWS Glue, and Apache Spark for scalable AI systems. Fine-tuned LLMs for domain-specific tasks, including document summarization, clinical text analysis, and intelligent automation. Implemented MLOps frameworks, including CI/CD pipelines, automated retraining, and model monitoring. Optimized deep learning inference using model pruning, quantization, and AWS Inferentia hardware acceleration. Developed predictive models using Logistic Regression, Random Forest, and Gradient Boosting. Built serverless AI architectures using AWS Lambda, S3, and SageMaker. Collaborated with product teams and data engineers to deploy production-ready AI solutions.
EDUCATION
KL University
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
ABOUT SRILAXMI PEDDIBOINA
I am a Generative AI and Machine Learning Engineer with experience in designing and building scalable AI-driven solutions using Large Language Models (LLMs), Deep Learning, and Cloud technologies. My work focuses on developing intelligent systems that leverage data to drive innovation, automation, and business insights.I have experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment in production environments. I specialize in working with Generative AI models such as GPT, LLaMA, and transformer-based architectures to build applications like intelligent chatbots, document summarization systems, recommendation engines, and NLP solutions.My technical expertise includes Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), and MLOps, along with cloud-based AI development using AWS services such as SageMaker, S3, Lambda, and Glue. I have also built scalable data processing pipelines using Apache Spark, Databricks, and big data technologies.I am passionate about solving complex problems using AI, data science, and advanced analytics. I enjoy collaborating with cross-functional teams to transform data into actionable insights and deploy production-ready AI solutions that deliver measurable impact.Core Skills• Generative AI & Large Language Models (LLMs)• Machine Learning & Deep Learning• Natural Language Processing (NLP)• Python, TensorFlow, PyTorch, Scikit-learn• MLOps, Docker, Kubernetes, CI/CD• AWS Cloud (SageMaker, Lambda, S3, Glue)• Big Data Technologies (Apache Spark, Databricks)• Data Engineering & Model DeploymentI am always interested in connecting with professionals and organizations working on AI, Machine Learning, and Data Science innovations.
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