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Hi, I'm Sai Sathvik Yadlapalli, an Applied AI Engineer with 3+ years of experience building and deploying machine learning and generative AI solutions across cloud, edge, and enterprise environments. I specialize in LLMs, MLOps, and real-time AI pipelines using tools like SageMaker, Kubeflow, and Hugging Face. I thrive on delivering scalable, low-latency AI systems for healthcare, cybersecurity, and automotive applications. I enjoy collaborating with cross-functional teams to drive responsible AI practices and production-grade deployments, and I am excited to contribute to next-gen multimodal systems in AI/ML engineering roles.…Hi, I'm Sai Sathvik Yadlapalli, an Applied AI Engineer with 3+ years of experience building and deploying machine learning and generative AI solutions across cloud, edge, and enterprise environments. I specialize in LLMs, MLOps, and real-time AI pipelines using tools like SageMaker, Kubeflow, and Hugging Face. I thrive on delivering scalable, low-latency AI systems for healthcare, cybersecurity, and automotive applications. I enjoy collaborating with cross-functional teams to drive responsible AI practices and production-grade deployments, and I am excited to contribute to next-gen multimodal systems in AI/ML engineering roles.

Sai Sathvik Yadlapalli

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Sai Sathvik Yadlapalli, an Applied AI Engineer with 3+ years of experience building and deploying machine learning and generative AI solutions across cloud, edge, and enterprise environments. I specialize in LLMs, MLOps, and real-time AI pipelines using tools like SageMaker, Kubeflow, and Hugging Face. I thrive on delivering scalable, low-latency AI systems for healthcare, cybersecurity, and automotive applications. I enjoy collaborating with cross-functional teams to drive responsible AI practices and production-grade deployments, and I am excited to contribute to next-gen multimodal systems in AI/ML engineering roles.…Hi, I'm Sai Sathvik Yadlapalli, an Applied AI Engineer with 3+ years of experience building and deploying machine learning and generative AI solutions across cloud, edge, and enterprise environments. I specialize in LLMs, MLOps, and real-time AI pipelines using tools like SageMaker, Kubeflow, and Hugging Face. I thrive on delivering scalable, low-latency AI systems for healthcare, cybersecurity, and automotive applications. I enjoy collaborating with cross-functional teams to drive responsible AI practices and production-grade deployments, and I am excited to contribute to next-gen multimodal systems in AI/ML engineering roles.

Available to hire

Hi, I’m Sai Sathvik Yadlapalli, an Applied AI Engineer with 3+ years of experience building and deploying machine learning and generative AI solutions across cloud, edge, and enterprise environments. I specialize in LLMs, MLOps, and real-time AI pipelines using tools like SageMaker, Kubeflow, and Hugging Face. I thrive on delivering scalable, low-latency AI systems for healthcare, cybersecurity, and automotive applications.

I enjoy collaborating with cross-functional teams to drive responsible AI practices and production-grade deployments, and I am excited to contribute to next-gen multimodal systems in AI/ML engineering roles.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Applied AI Engineer at DeepMind

January 1, 2025 - Present

Developed generative AI solutions using Hugging Face Transformers and LangChain for DXC AI Workbench; deployed 30+ AI agents to support Ferrovial’s 24,000 employees and achieved 500ms average inference latency. Built Retrieval-Augmented Generation with LlamaIndex, fine-tuned LLMs on AWS SageMaker, and integrated real-time feature serving with Tecton for healthcare AI. Optimized cybersecurity threat-detection models with PyTorch and FastAPI, processing 1M events/sec with 0.90 ROC-AUC, and deployed cloud-native AI systems with Kubeflow, Docker, and Triton Inference Server for 100ms response times at scale. Created interactive dashboards with Streamlit/Tableau and tracked 200+ experiments with Weights & Biases.

AI/ML Engineer at Adobe

July 1, 2021 - June 1, 2023

Analyzed enterprise datasets using Pandas and SQL on Snowflake to build predictive models using XGBoost for churn prediction, achieving 0.85 ROC-AUC. Integrated AI features into XPS 13 devices using TensorFlow 2.x and Keras, delivering 200ms latency improvements. Engineered edge ML pipelines with Spark and Flask for real-time factory analytics (1M events/s) with 0.90 F1. Developed and fine-tuned LLMs on cloud platforms (SageMaker/Azure Databricks) and built RAG architectures with vector stores for context-aware responses. Created NLP pipelines (classification, entity extraction, summarization) and dashboards (Matplotlib/Tableau), and implemented production-grade RAG with real-time feature serving.

AI/ML Engineer Intern at Adobe

January 1, 2021 - June 1, 2021

Built computer vision pipelines with CNNs and Vision Transformers, achieving 92% classification accuracy; implemented SHAP/LIME explainability. Automated ETL pipelines for PostgreSQL and MongoDB, reducing preprocessing time. Conducted A/B testing and EDA showing 12% engagement uplift. Deployed cloud-native AI workflows with AWS Lambda, cutting infrastructure costs by 10%.