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Education

California Polytechnic State University, San Luis Obispo | Expectd Graduat March 2025

Optimized data migration microservice: Achieved a remarkable performance boost, enabling the handling of 1000 requests per minute with low latency (10 ms) and an exceptional error rate (0.2%). Implemented horizontal microservice scaling using AWS Lambdas and AWS Step Functions, along with a robust retry-based system for maximizing network and API calls
Enhanced scalability and efficiency: Significantly reduced API calls by 100% by leveraging AWS S3 for internal storage between microservices, resulting in increased overall system scalability.
Ensured reliability and fault tolerance: Decoupled microservice components to prevent critical errors. Utilized AWS SQS, AWS DLQ, and AWS SNS for efficient fanning out of data workflows and processes.
Built a robust data parser and validation system: Developed with Python and Pydantic, fortified by extensive automated unit testing with Pytest.
Pioneered data migration into Snowflake: Enabled automated seamless data warehousing and management with SnowPipe and SnowSQL
Streamlined development process: Executed SDLC policies with Jira and Agile Methodology, while providing comprehensive documentation on README.md and Confluence.
Collaborated with cross-functional teams: Made valuable contributions alongside senior developers and product managers.

Conducted interactive tutoring on computer science and software engineering, covering computer architecture, system design, and algorithms.
Provided comprehensive tutoring on a variety of programming languages, software tools, and fundamental concepts in Computer Science, including Python, Java, LC-3, Assembly, C/C++, Data Structures, and Algorithms.