As a DevOps engineer, I focused on enhancing developer productivity and infrastructure reliability. My work streamlined CI/CD processes, optimized resource usage (saving thousands monthly), and ensured platform uptime for a large Kubernetes environment• Elevated developer efficiency for 30+ software engineers by serving as a go-to resource, troubleshooting complex architectural issues, and proposing solutions that aligned with business goals and technical constraints.• Ensured 99.95% uptime for hundreds of services across a large-scale Kubernetes environment.Accelerated development cycles by halving CI/CD pipeline runtimes through strategic infrastructure optimization.• Empowered self-sufficient development teams by migrating to a GitOps workflow with ArgoCD, streamlining deployments.• Seamlessly migrated dozens of services from DataDog to OpenTelemetry saving thousands a month.• Re-engineered URL shortening service using Go, slashing codebase size by 50% and achieving a 10x improvement in runtime efficiency• Integrated acquired company by migrating GCP infrastructure to Terraform and establishing comprehensive test environments to ensure quality and continuity.• Optimized data import service by refactoring into sequential cron jobs, decreasing peak MongoDB load by 30% and slashing hosting costs by 95%, yielding monthly savings in the thousands.• Bolstered disaster recovery preparedness by conducting loss-of-availability-zone exercises, resulting in streamlined workflows and enhanced system resilience.• Strengthened Kubernetes security posture by implementing Kyverno to mandate image signing and enforce pod security standards, and Falco for proactive runtime threat detection.• Expeditiously diagnosed and resolved critical proxy configuration errors, eliminating error response codes during code rollouts and ensuring seamless application updates.

Full-stack engineer with expertise in React, .NET Core, Node.js, PostgreSQL, and MongoDB, delivering robust solutions.• Deployed mobile earnest money check deposit in half the expected time, significantly exceeding parent company expectations and meeting urgent business needs during COVID-19.• Rapid development of an in-house solution after the 3rd party dependency became unavailable, ensuring customer continuity.• Empowered cross-functional teams by refactoring a product's UI for configuration-driven flexibility, saving significant engineering resources and enabling multi-state expansion.• Mentored 4 mid-level engineers, contributing to 2 promotions and enhancing product quality.• Monitor production alerts to provide rapid resolutions to custom problems, while still doing deeper root causes and long-term fixes.

MIO was founded to improve Physical Therapy by utilizing wearable technology during the treatment process. We are able to give accurate range of motion measurements, real-time exercise feedback, and 3D movement tracking.As the lead software engineer, I developed the iOS app at the heart of the product and algorithms for converting raw sensor outputs to angle measurements in real time. I also led Full Stack development on the website, implementing checkout flows, subscription management, and a dashboard for securely viewing/retrieving patient data.

MbientLab designs, builds, and sells wearable sensors. We provide a free suite of software tools for researches and developers, and paid consulting services to companies looking for complete solutions.On the consulting side, I’ve been lead software engineer for 6+ consulting clients requiring both iOS and Node.js development. I work closely with clients to do requirements gathering and collect product feedback during the development cycle, including on-site travel for installation and debug.On the internal tools side, I led iOS development on 20+ apps and developed the iOS SDK’s those apps require to interface with our sensors. I led Full Stack development for a web dashboard that displays sensor data synced from our iOS app. I centralized our Cloud services on AWS and maintained them.

Designed and developed C/Assembly tests for post-silicon functional validation of next generation x86 CPU architectures.Delivered a successful prototype based on the LLVM compiler (C++) that consolidated 4+ testing tools into one and reduced test times to levels suitable for pre-silicon emulation, improving our silicon readiness. Contributed in all stages: Architecture/Design/Implementation/Testing/Code Review/Support. In addition to on-boarding new developers as the tool proved its usefulness. Developed a test generator tool in C#, responsible for the core instruction classes.

Worked in post silicon validation apart of the focused test team performing debug on next generation microprocessorsDeveloped test implementation strategies given a high level test plan and then coded in C

Worked in post silicon validation apart of the focused test team performing debug on next generation microprocessorsGained knowledge of IA-32/64, x86 assembly, and C programmingSolved software and hardware issues within the test environment, cutting hours per week from debugging false failures.

Worked with graduate students and professors on graphene based nanoelectronic device fabrication and simulationCo-authored a paper on simulated thermal transport in graphene nanoribbons

Wrote engineering Verification & Validation reports, constructed test plans and proceduresPreformed analysis on field returned printed circuit boards and parts to determine root cause of failure

Instructor of a programming lab course for first-year engineers using C and MATLABExplained programming concepts and graded homework and lab exams