About

Experienced Data Science and Engineering leader with 7+ years’ experience of architecting data and AI solutions, ranging from generative AI based prototype to big data production platform. Hands on experience in Azure, AWS, GCP and multi-cloud data solution.

I have experience in architecting, developing and improving data and AI systems which includes:

• architecting and implementing data science platforms and machine learning platforms
• architecting big data solutions for batch and streaming use cases
• productionizing machine learning models
• integrating on-prem legacy data systems with cloud solutions
• data fusion between enterprise core data and IoT data
• driving digital transformation with generative AI capabilities

I am proficient in data and AI tech stack which includes:

• big data solutions (Apache Spark, Kafka, Hadoop ecosystem)
• cloud data warehousing (Snowflake, GCP Big Query, Azure Synapse)
• DataOps (Apache Airflow, Azure Data Factory, dbt, great expectation)
• MLOps (MLFlow, Azure ML)
• DevOps (GitHub, Azure DevOps)
• generative AI (Open AI, Hugging Face, LangChain)
• programming languages (Python, SQL, Scala, Java, R)