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I'm a results-driven AI/ML Engineer with 4.5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. I have deep practical expertise in TensorFlow, PyTorch, and end-to-end ML pipelines on AWS, Azure, and GCP. I've led cross-functional initiatives, mentored teams, and translated complex research findings into production-ready AI systems. I also designed knowledge-augmented approaches, such as RAG with LlamaIndex and Pinecone, to empower clinicians to query medical literature in natural language, streamlining research-to-action cycles and improving clinical outcomes.…I'm a results-driven AI/ML Engineer with 4.5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. I have deep practical expertise in TensorFlow, PyTorch, and end-to-end ML pipelines on AWS, Azure, and GCP. I've led cross-functional initiatives, mentored teams, and translated complex research findings into production-ready AI systems. I also designed knowledge-augmented approaches, such as RAG with LlamaIndex and Pinecone, to empower clinicians to query medical literature in natural language, streamlining research-to-action cycles and improving clinical outcomes.

Gopi Krishna Anne

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

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I'm a results-driven AI/ML Engineer with 4.5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. I have deep practical expertise in TensorFlow, PyTorch, and end-to-end ML pipelines on AWS, Azure, and GCP. I've led cross-functional initiatives, mentored teams, and translated complex research findings into production-ready AI systems. I also designed knowledge-augmented approaches, such as RAG with LlamaIndex and Pinecone, to empower clinicians to query medical literature in natural language, streamlining research-to-action cycles and improving clinical outcomes.…I'm a results-driven AI/ML Engineer with 4.5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. I have deep practical expertise in TensorFlow, PyTorch, and end-to-end ML pipelines on AWS, Azure, and GCP. I've led cross-functional initiatives, mentored teams, and translated complex research findings into production-ready AI systems. I also designed knowledge-augmented approaches, such as RAG with LlamaIndex and Pinecone, to empower clinicians to query medical literature in natural language, streamlining research-to-action cycles and improving clinical outcomes.

Available to hire

I’m a results-driven AI/ML Engineer with 4.5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms. I have deep practical expertise in TensorFlow, PyTorch, and end-to-end ML pipelines on AWS, Azure, and GCP.

I’ve led cross-functional initiatives, mentored teams, and translated complex research findings into production-ready AI systems. I also designed knowledge-augmented approaches, such as RAG with LlamaIndex and Pinecone, to empower clinicians to query medical literature in natural language, streamlining research-to-action cycles and improving clinical outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at UnitedHealth Group

June 1, 2025 - Present

Led feature engineering and model tuning for Optum AI claims optimizer using PyTorch and XGBoost; built predictive models for chronic disease analytics with TensorFlow; designed end-to-end ML workflows with MLflow and SageMaker; integrated Snowflake and Databricks data fabrics; implemented anomaly detection with LightGBM and integrated IoT data streams via Apache Kafka and OpenCV for remote monitoring.

Data Scientist at Dell Technologies

November 1, 2020 - July 1, 2023

Developed feature engineering for predictive analytics in capacity planning using Scikit-learn and XGBoost; optimized deep learning models on Dell PowerEdge servers with Keras and PyTorch; built anomaly detection systems with LightGBM; created NLP pipelines using SpaCy and NLTK; managed ETL with Apache Airflow, Snowflake, and Databricks for scalable ML training.

Data Engineer

May 1, 2019 - October 1, 2020

Designed scalable ETL pipelines using Apache Airflow and Talend to ingest and transform data for distributed data centers globally; optimized big data processing across multi-region environments.