About me
Experienced Software Engineer with over six years of success designing and deploying secure, scalable backend and data-driven solutions in cloud environments. Proficient in Python, Java, SQL, and AWS, with hands-on expertise in building robust ETL pipelines, API integrations, and distributed systems. Adept at transforming business requirements into high-performance applications that improve reliability, reduce operational overhead, and deliver measurable impact. Collaborative and adaptable, with a proven track record of leading initiatives across teams to enhance performance, observability, and system resilience. Hold a Master of Science in Cybersecurity from the University of North Carolina at Charlotte.
What I'm Doing
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Cloud Development
Engineering high-performance, scalable services using Python and AWS CDK, optimizing data processing algorithms and enhancing resource utilization to bolster AWS's threat detection capabilities. Achieved an 80% reduction in false positives in authentication processes through innovative system design.
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Data Engineering
Architecting and implementing complex data processing systems integrating multiple AWS technologies, focusing on real-time data handling and ETL processes. Building real-time processing systems with AWS Kinesis, Lambda, and Glue for security analytics.
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Backend Development
Building scalable backend services and APIs using Python and AWS technologies. Developing analytics systems for infrastructure monitoring, implementing real-time data processing with Spark Streaming and Lambda, and creating centralized storage solutions with DynamoDB and S3.
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Machine Learning
Implementing machine learning models for unstructured data analysis using TensorFlow and scikit-learn. Building key phrase extraction and document classification using pretrained LLMs and keyword inference models.
