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I am Harika Nalabolu, a Machine Learning Engineer with 3+ years of experience delivering AI-powered fraud detection, NLP, and forecasting solutions. I design scalable real-time pipelines using Spark, PyTorch, Kafka, and cloud platforms to improve model accuracy, latency, and automation for millions of transactions. I specialize in building production-grade ML systems, implementing MLOps with Azure ML, SageMaker, and container orchestration, and extending models with Generative AI and RAG workflows to provide context-aware insights and higher coverage.…I am Harika Nalabolu, a Machine Learning Engineer with 3+ years of experience delivering AI-powered fraud detection, NLP, and forecasting solutions. I design scalable real-time pipelines using Spark, PyTorch, Kafka, and cloud platforms to improve model accuracy, latency, and automation for millions of transactions. I specialize in building production-grade ML systems, implementing MLOps with Azure ML, SageMaker, and container orchestration, and extending models with Generative AI and RAG workflows to provide context-aware insights and higher coverage.

Harika Nalabolu

Data Scientist, AI Engineer, AI Developer, +2

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I am Harika Nalabolu, a Machine Learning Engineer with 3+ years of experience delivering AI-powered fraud detection, NLP, and forecasting solutions. I design scalable real-time pipelines using Spark, PyTorch, Kafka, and cloud platforms to improve model accuracy, latency, and automation for millions of transactions. I specialize in building production-grade ML systems, implementing MLOps with Azure ML, SageMaker, and container orchestration, and extending models with Generative AI and RAG workflows to provide context-aware insights and higher coverage.…I am Harika Nalabolu, a Machine Learning Engineer with 3+ years of experience delivering AI-powered fraud detection, NLP, and forecasting solutions. I design scalable real-time pipelines using Spark, PyTorch, Kafka, and cloud platforms to improve model accuracy, latency, and automation for millions of transactions. I specialize in building production-grade ML systems, implementing MLOps with Azure ML, SageMaker, and container orchestration, and extending models with Generative AI and RAG workflows to provide context-aware insights and higher coverage.

Available to hire

I am Harika Nalabolu, a Machine Learning Engineer with 3+ years of experience delivering AI-powered fraud detection, NLP, and forecasting solutions. I design scalable real-time pipelines using Spark, PyTorch, Kafka, and cloud platforms to improve model accuracy, latency, and automation for millions of transactions.

I specialize in building production-grade ML systems, implementing MLOps with Azure ML, SageMaker, and container orchestration, and extending models with Generative AI and RAG workflows to provide context-aware insights and higher coverage.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at Simmons Bank

January 1, 2024 - Present

Built scalable, real-time fraud detection pipelines using Apache Spark, PyTorch, and Kafka; deployed production-grade ML models via Azure ML, MLflow, Docker, and Kubernetes; implemented deep learning and NLP-based anomaly detection with TensorFlow, BERT, Transformers; optimized predictive performance with LightGBM and SHAP/LIME; integrated Generative AI and LLM-powered RAG pipelines to reduce false positives and improve coverage.

Machine Learning Engineer at Mindtree

January 1, 2021 - May 1, 2023

Developed transformer-based NLP models for sentiment analysis, topic modeling, and spam detection; designed forecasting models using ARIMA and XGBoost; built ETL pipelines with PySpark and AWS Glue; streamlined ML deployments via AWS CodePipeline and SageMaker.