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I have been coding since 2010 and I have taken business critical apps from inception to production by working in/leading cross functional teams.
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NVIDIA
Backend Engineer
June 18, 2026 – Present
aicr
January 30, 2026 – Present
Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
View Projecthomebrew-aicr
January 12, 2026 – Present
Tooling for deploying optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
View ProjectNVSentinel
September 16, 2025 – Present
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
View Projectfleet-intelligence-agent
August 27, 2025 – Present
NVIDIA Fleet Intelligence Agent - Host agent for GPU telemetry collection and attestation
View Projecttopograph
September 25, 2024 – Present
A toolkit for discovering cluster network topology.
View Projectknavigator
April 15, 2024 – Present
knavigator is a development, testing, and optimization toolkit for AI/ML scheduling systems at scale on Kubernetes.
View ProjectJenkins-Administrators-Guide
January 7, 2021 – January 18, 2023
Jenkins Administrator's Guide, published by Packt
View Projectlets-encrypt-azure-cdn
September 8, 2020 – March 29, 2024
Azure CDN does not provide free SSL certificates for root domains. This project aims to automate the provisioning and renewal of Let's Encrypt SSL certificates for Azure CDN root domains.
View ProjectSimpleNetworking
March 30, 2020 – December 8, 2022
Simple networking an easy to use networking library for .NET Core that guarantees exactly-once, in-order delivery of .NET objects while surviving network partitions. The library includes support for TLS 1.2, TLS 1.3 and mutual TLS 1.2/1.3.
View ProjectBoundedBufferSemaphore
October 18, 2016 – October 18, 2016
Solution to the bounded buffer problem using semaphores
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards open-source contributions and personal projects, which can be a positive indicator for a collaborative and innovative culture. However, the projects are heavily focused on infrastructure and low-level systems, which might indicate a specific technical interest rather than broad team collaboration. The candidate's experience level is listed as 0, which contradicts the depth of projects and the 'Backend Engineer' role at NVIDIA. This discrepancy makes it difficult to accurately assess cultural fit based on career progression and team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.