GK

Gopi Krishna Anne

Available to hire

5 years of hands-on experience designing, developing, and deploying enterprise-scale AI and data-driven solutions across healthcare, cloud, and analytics platforms.

About

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.

  • 5 years' experience
  • Joined January 2026

Languages

  • EnglishFluent

Industry experience

  • Computers & Electronics
  • Healthcare
  • Software & Internet
  • Professional Services
  • Life Sciences
  • Education

Work experience

AI/ML Engineer · UnitedHealth GroupJun 2025 – Present · 1 yr 6 mos

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 · Dell TechnologiesNov 2020 – Jul 2023 · 2 yrs 9 mos

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 EngineerMay 2019 – Oct 2020 · 1 yr 6 mos

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.

Education

Master's in Computer Science · Southeast Missouri State University2023 – 2025
Masters in Computer Science · Southeast Missouri State University2023 – 2025

Certifications and awards

AWS Certified Machine Learning – Specialty2030 – 2026
AWS Certified Machine Learning – Specialty2030 – 2026

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