IT Systems Engineer and Computer Science graduate specializing in cloud platforms, AI/ML systems, and automation. Passionate about building innovative solutions and transforming complex challenges into opportunities.
Deployed and configured Nutanix hyperconverged cloud Kubernetes and AI platforms, integrated Hugging Face models, and completed client environment setup, accelerating production readiness.
Built a dependency-aware Kubernetes migration orchestrator with FastAPI and NetworkX analyzing 30+ CRDs, improving migration success rate by 30% and enabling staged workload execution.
Conducted AI research and prompt engineered staged descriptive queries for Claude, optimizing responses and reducing token usage.
Designed a two-phase migration workflow with Velero to minimize downtime by 50%.
Automated GSD permission reports using Python, Node.js, Google APIs, and AWS, cutting manual effort by 75% and increasing data accuracy by 30%.
Built on-demand reporting and executive dashboards with Google Apps Script and Python, reducing report generation latency by 60%.
Developed automated retention workflows leveraging Iron Mountain API and mentored an intern, improving compliance readiness by 40%.
Graduated with High Distinction in Computer Science. Specialized in software engineering, AI/ML systems, and cybersecurity. Developed strong foundation in algorithms, data structures, and distributed systems.
Intelligent CLI wrapper for Git that provides AI-generated explanations, dry-run previews, and interactive learning quizzes, simplifying Git for beginners. Implemented advanced commands consolidating multi-step operations into single safe actions.
Expanded tactile dataset and integrated multimodal feedback using Transformers, boosting model robustness by 25%. Optimized training pipeline with PyTorch, PEFT, LoRA, and Bitsandbytes, improving generalization and inference quality by 20%.
Built a privacy-first macOS assistant with offline wake word detection (80ms) and real-time gesture control for full system interaction. Distributed via Homebrew with CI/CD (GitHub Actions), automating tests, versioning, and deployment. Engineered a multi-threaded gesture pipeline, resolving concurrency issues and reducing latency for real-time performance.
Constructed NBA assist networks from PBP Stats API data, modeled as weighted graphs with NetworkX to analyze team structure. Computed graph metrics and visualized team dynamics, revealing patterns consistent with Braess' Paradox and star-player acquisition impacts.