Highly motivated software engineer with a passion for performance optimization in system architecture and user-facing solutions, and solving the complex problems therein.
Recently (2024) single-handedly wrote a network traffic engine/sniffer/dissector in Rust for an in-house AI platform.
Responsible for redesigning and reimplementing business critical backend systems resulting in significant performance uplift (5x).
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High-performance python data pipeline architecture, maintenance, and feature improvement.
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Designed data-driven workflows using AWS Step Functions, SNS, and SQS, and Celery to deliver efficiency gains for high-impact and industry leading data extraction.
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Jenkins Pipeline Design
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Helm chart configuration to manage, deploy, scale, and create new services within Kubernetes clusters within EKS.
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REST API efficiency gains with high-performance route creation to increase throughput throughout data pipeline.
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Drastically increased internal OCR pipeline efficiency by parallelizing heavy workloads, resulting in a 20% performance uplift. Fine-tuning of scaling metrics allowed for 30% throughput improvement.
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Docker image creation, fine-tuning and deployment on AWS Lambda and ECS.
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Increase data ingestion capabilities with leveraging Amazon SES for email reception and data extraction.
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Improve end-user experience on internal company tooling using React.
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Create, design, use, and improve data-driven services using internally-designed api calls Postgres and MongoDB.
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Database schema design and improvement for Postgres using internally managed Alembic versioning.
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Designed, implemented, and released high-performance and feature complete data pipeline leveraging AWS lambda, SNS, SQS and Step Functions.
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Internal and External facing API creation and design for performant data ingestion and delivery.