Writing and evaluation of prompts in different domains using prompt engineering.

• Engineered batch and real-time streaming solutions with Kafka, mapping data flows from source systems using AWS storage solutions to the warehouse and bringing the ETL run time to 4 hours.• Implemented LLM models and deployed them within Snowpark container services (limited preview) for developing chatbots, intent classification, and surveys classification.• Utilized Snowflake concepts in diverse Proof of Concepts (POCs) to explore and implement various functionalities and objects… Show more • Engineered batch and real-time streaming solutions with Kafka, mapping data flows from source systems using AWS storage solutions to the warehouse and bringing the ETL run time to 4 hours.• Implemented LLM models and deployed them within Snowpark container services (limited preview) for developing chatbots, intent classification, and surveys classification.• Utilized Snowflake concepts in diverse Proof of Concepts (POCs) to explore and implement various functionalities and objects, facilitating successful implementations thereafter.• Performed table validation tasks, verified dependencies, pinpointed unique identifiers, tuned database queries, and resolved data discrepancy bugs to ensure data accuracy, and reliability and to improve data quality.• Delivered valuable insights for business decision-making through visualizations using dashboards. Show less

Client - On behalf of ACL Digital• Engineered batch and real-time streaming solutions with Kafka, mapping data flows from source systems using AWS storage solutions to the warehouse and bringing the ETL run time to 4 hours.• Implemented LLM models and deployed them within Snowpark container services (limited preview) for developing chatbots, intent classification, and surveys classification.• Utilized Snowflake concepts in diverse Proof of Concepts (POCs) to explore and… Show more Client - On behalf of ACL Digital• Engineered batch and real-time streaming solutions with Kafka, mapping data flows from source systems using AWS storage solutions to the warehouse and bringing the ETL run time to 4 hours.• Implemented LLM models and deployed them within Snowpark container services (limited preview) for developing chatbots, intent classification, and surveys classification.• Utilized Snowflake concepts in diverse Proof of Concepts (POCs) to explore and implement various functionalities and objects, facilitating successful implementations thereafter.• Performed table validation tasks, verified dependencies, pinpointed unique identifiers, tuned database queries, and resolved data discrepancy bugs to ensure data accuracy, and reliability and to improve data quality.• Delivered valuable insights for business decision-making through visualizations using dashboards. Show less

• Led proof-of-concept migrations from IBM Cloud to Azure using Pipelines, Azure Data Factory, and Azure Databricks in the cloud environment setup. Set up real-time data flow from Events DB to Marketing DB with Apache Kafka.• Participated in migrating data to Azure Blob storage, Azure Data Lake, and Azure SQL Database and evaluated new data sources and techniques for effectiveness and accuracy, ensuring data quality.• Involved in automating tasks and maintaining the codebase in Git for… Show more • Led proof-of-concept migrations from IBM Cloud to Azure using Pipelines, Azure Data Factory, and Azure Databricks in the cloud environment setup. Set up real-time data flow from Events DB to Marketing DB with Apache Kafka.• Participated in migrating data to Azure Blob storage, Azure Data Lake, and Azure SQL Database and evaluated new data sources and techniques for effectiveness and accuracy, ensuring data quality.• Involved in automating tasks and maintaining the codebase in Git for version control Show less

• Extracted data from REST APIs, performed necessary transformations, and loaded it into target systems, enhancing data collection procedures for improved analytics.• Optimized data extraction and transformation using SQL for loading into Data Lake from primary and secondary sources.• Analyzed complex data sets using Excel, SPSS, and R Statistical techniques to interpret trends and provide ongoing reports and timely communication.• Ensured data cleanliness, mapping, transformation… Show more • Extracted data from REST APIs, performed necessary transformations, and loaded it into target systems, enhancing data collection procedures for improved analytics.• Optimized data extraction and transformation using SQL for loading into Data Lake from primary and secondary sources.• Analyzed complex data sets using Excel, SPSS, and R Statistical techniques to interpret trends and provide ongoing reports and timely communication.• Ensured data cleanliness, mapping, transformation, and optimization according to business and technical requirements, maintaining high data integrity standards. Show less

• Ensured data cleanliness, mapping, transformation, and optimization according to business requirements and technical solutions, maintaining high data integrity standards.• Designed and presented project proposals in Artificial Intelligence and Machine Learning, gaining client approval, and providing comprehensive architecture and systems documentation for development and implementation.• Implemented data normalization and standardization techniques to ensure consistency and accuracy… Show more • Ensured data cleanliness, mapping, transformation, and optimization according to business requirements and technical solutions, maintaining high data integrity standards.• Designed and presented project proposals in Artificial Intelligence and Machine Learning, gaining client approval, and providing comprehensive architecture and systems documentation for development and implementation.• Implemented data normalization and standardization techniques to ensure consistency and accuracy across transformed data sets. Show less

• Conducting cutting-edge research in emerging areas of electronics and instrumentation.• Mentoring undergraduate students to foster intellectual curiosity and innovation.• Designing and delivering engaging lectures, labs, and seminars on topics like control systems and signal processing.

• Developing high-quality instructional materials for diverse learning styles.• Providing individualized support to students to facilitate academic growth.• Collaborating with colleagues to enhance curriculum design and teaching methodologies.