Machine Learning Engineer | Data Engineer
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I build and run production-grade data and machine learning systems.
My work focuses on reliable data pipelines, real-time processing, and deploying ML models into day-to-day business use.
I have 8 years of experience working with data-intensive systems across finance, healthcare, and automotive, where I’ve owned pipelines from ingestion to inference. This includes batch and streaming workloads, model deployment, monitoring, and operational stability.
What I work on in practice:
-Real-time and near–real-time processing using Kafka and Spark
-Deploying and operating ML models with MLflow and model serving
-Building systems that teams can monitor, debug, and extend
Core stack (hands-on):
-Databricks (Delta Lake, MLflow, Feature Store, Model Serving)
-Azure data platform (ADF, Data Lake, Synapse, Azure ML)
-Airflow, Kafka, Spark Structured Streaming, Git, CI/CD
-Production lead-scoring model used by business teams
-ML pipelines to optimize marketing spend and customer targeting
-Customer segmentation and personalization systems
-NLP chatbot integrated with Salesforce workflows
I work at the intersection of data engineering and ML engineering, with a strong bias toward production, stability, and measurable outcomes.
I build and run production-grade data and machine learning systems.
My work focuses on reliable data pipelines, real-time processing, and deploying ML models into day-to-day business use.
I have 8 years of experience working with data-intensive systems across finance, healthcare, and automotive, where I’ve owned pipelines from ingestion to inference. This includes batch and streaming workloads, model deployment, monitoring, and operational stability.
What I work on in practice:
-Real-time and near–real-time processing using Kafka and Spark
-Deploying and operating ML models with MLflow and model serving
-Building systems that teams can monitor, debug, and extend
Core stack (hands-on):
-Databricks (Delta Lake, MLflow, Feature Store, Model Serving)
-Azure data platform (ADF, Data Lake, Synapse, Azure ML)
-Airflow, Kafka, Spark Structured Streaming, Git, CI/CD
-Production lead-scoring model used by business teams
-ML pipelines to optimize marketing spend and customer targeting
-Customer segmentation and personalization systems
-NLP chatbot integrated with Salesforce workflows
I work at the intersection of data engineering and ML engineering, with a strong bias toward production, stability, and measurable outcomes.
Bachelors in Computer Science and Engineering
