• Led national and international LLM, Machine Learning, Data Engineering and R&D projects, provided technical guidance and completed consultancy projects with teamwork.• Creating demo on-premises ETL processes and jobs, solving potential problems and making improvements to increase ETL performance. Using Docker containers to implement ETL process.(Airflow, Spark, Docker, Kafka, Hadoop, PostgreSQL)• Implemented many MVPs in various fields such as Data Engineering, ML, Time Series, NLP.• Business development, project follow-up and assignment using Azure DevOps.• Co-authored three articles and wrote a thesis.• Improved research capabilities and adaptation to emerging technologies.• Strengthened presentation skills to convey technical concepts effectively.• Project management experience with proficiency in agile practices.

• The certificate creation demo project for bootcamp students was taken live and contributions were made.• Hands-on experience in ECS, VPC, IMS, AS, ELB, CTS, RDS services.

• Assisted in the development and support of dashboards, enabling customers to make informed decisions.• Contributed to the digitization of form data, generation of reports, and mapping processes through SQL queries.• Contributed to addressing security concerns related to user-generated forms in JotForm's 'Form' structure, where users inadvertently input personal information. Collaborated on implementing Machine Learning models to identify and mitigate security issues associated with written form content.

• Mining, challenge and analysis of complex, high-volume and high-dimensional data from various sources,• Data cleaning and data transformation activities were carried out using Python.