Experience

Founded and grew Elision Labs, a developer shop focused on planning, architecting, and implementing custom business solutions tailored to client needs across multiple industries.

Oversaw a team of project managers, product managers, UX designers, full-stack developers, and DevOps engineers to deliver tailored software solutions by aligning customer requirements with technical specifications.

Provided mentorship to both technical and non-technical team members through regular training sessions, promoting a customer-centric and solution-driven culture while supporting professional development.

Led a team of 7 engineers to develop a multi-tenant platform for provisioning custom virtual private servers. Collaborated with cross-functional teams to translate organizational needs into technical requirements, resulting in $1.7 million annual revenue within 10 months.

Optimized full-stack applications using Next.js, TypeScript, Go, PostgreSQL, and Kubernetes to enhance user experience and system reliability. Improved front-end interfaces, back-end architecture, and infrastructure design.

Designed an event-driven system for background task execution with automated remediation and failure retries using AWS services (API Gateway, SQS, EventBridge, Step Functions, Lambda Functions), achieving reliable functionality, seamless scalability, and automated failure remediation.

Implemented data aggregation and retrieval systems to facilitate access to data from Validator RPC, Data Indexer, Archival, and other specialized on-chain node servers for users, developers, and dependent applications.

Developed an observability framework using Prometheus, Grafana, and PagerDuty, automated with Terraform, to establish a standardized logging, tracing, monitoring, and early warning alerting system.

Played a crucial role in transitioning Near protocol's core wallet provider by replacing Near Wallet with MyNearWallet. Conducted audits on the wallet key management service to identify potential attack vectors and collaborated with other teams to ensure a stable release.

Improved the Adobe Analytics service by refactoring key components of the API architecture, internal tooling, and codebase. Emphasized automation and remediation workflows to enhance system resiliency, reduce manual tasks, and minimize downtime.

Oversaw hardware scaling and platform reliability during high-traffic events such as the launch of Disney Plus, NFL Super Bowl, and Cyber Monday. Successfully managed billions of requests while maintaining seamless performance and meeting SLA requirements.

Maintained over 4,000 Linux servers responsible for hosting many Adobe services by configuring system networking, patching security vulnerabilities, creating safe deployment strategies, and developing internal tools to reduce toil.

Implemented a proactive issue detection and remediation system by developing a ticket-based service, establishing an on-call schedule, documenting standard protocols for common issues, and configuring early warning alerts.

Enhanced AWS cloud architecture by enforcing granular IAM permissions, structuring CloudWatch Logs for improved analysis, and strengthening VPC security through refined security groups, network ACLs, routing tables, and VPC peering configurations.

Scaled infrastructure to support over 100,000 daily active users by leveraging network and application load balancers, integrating CDNs with S3 buckets, and containerizing multiple services with Docker for simplified horizontal scaling, ensuring high availability and performance.

Engineered and optimized microservice architecture using Node.js, Python, and Go, enhancing application performance by reducing response times and improving API efficiency to handle millions of monthly requests.

Managed and strategically scaled AWS cloud infrastructure—including EC2, S3, RDS, ECS, Fargate, and Lambda—to improve web application performance and reliability, supporting over 10,000 daily users while reducing operational costs.

Migrated development environments from isolated EC2 instances to containerized Docker applications, enabling faster developer environment setup with consistent configurations and lowering cloud compute costs.

Automated commonly run manual tasks by implementing a Python-based wrapper around SQL procedures and scripts, improving inter-system integrations, reducing time to remediate database issues, and improved developer efficiency.

Collaborated with Database Administrators to create an efficient CQRS system to separate the load from read and write operations, relieving database load with no impact on reliability and system availability.

Implemented more secure backend API by updating the pre-existing .NET core backend versions to secure known attack vectors by reviewing the system's existing version vulnerabilities and implementing a fix or coordinating a version update.

Implemented front-end designs for multiple customer facing websites using HTML, CSS, Javascript, and PHP increasing the generated lead's overall quantity and customer conversion rate.

Augmented our lead generation pipelines by providing analytics and insights into customer behavior, enabling the marketing team to make data-driven decisions and optimize marketing campaigns.

Improved multiple website's accessibility standards by utilizing text alternatives for non-text content, validating HTML tags are correctly implemented, and other key changes following the Web Content Accessibility Guidelines.