• Development and Deployment of AI-driven solutions for cybersecurity challenges

• Spearheaded the design and implementation of distributed AI/ML pipelines for analyzing incoming network traffic in real-time

• Collaborate closely with cross-functional teams to integrate AI cybersecurity capabilities into existing infrastructure and workflows

• Design and implementation of distributed AI systems.

• Design and implementation of High Performance internet traffic parser, tracker, and extractor written in Rust.

• Patent Pending for Federated Machine Learning Application.

• Responsible for redesigning and reimplementing business critical backend systems resulting in significant performance uplift (5x).

• High-performance python data pipeline architecture, maintenance, and feature improvement.

• 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.

• Jenkins Pipeline Design

• Helm chart configuration to manage, deploy, scale, and create new services within Kubernetes clusters within EKS.

• REST API efficiency gains with high-performance route creation to increase throughput throughout data pipeline.

• 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.

• Docker image creation, fine-tuning and deployment on AWS Lambda and ECS.

• Increase data ingestion capabilities with leveraging Amazon SES for email reception and data extraction.

• Improve end-user experience on internal company tooling using React.

• Create, design, use, and improve data-driven services using internally-designed api calls Postgres and MongoDB.

• Database schema design and improvement for Postgres using internally managed Alembic versioning.

• Designed, implemented, and released high-performance and feature complete data pipeline leveraging AWS lambda, SNS, SQS and Step Functions.

• Internal and External facing API creation and design for performant data ingestion and delivery.

• Multiple Production-Implemented Machine Learning Models

• ML Model testing, development and production assurance

• Data Quality Assurance for clients under SLA

• Assure quality and consistency of department's work and production.

• Develop, maintain and train department SOPs

• Provide and update IT procedures and documentation.

• Validation of production software against specification.

• Frequent work on cross-department projects.

• Provide end user support for all departments of staff.

• Built servers for cloud based file storage of CT Scan images and employee data.