🤖 Working with AI daily? Check out my copy/paste prompt collection for developers: dev-chatgpt-prompts — 10 stack-agnostic prompts ready to paste. No fill-in-the-blanks, no setup.

🗂️ Living in Claude Code? I use Claude Code History Viewer to browse and search every local session transcript — a fully offline desktop app (Windows/macOS/Linux) that reads ~/.claude/projects directly, with global search and per-session token/cost analytics.

Senior Fullstack Developer with 11+ years of experience building robust, scalable systems across healthcare, finance, real estate, and supply chain domains. Specialized in AI/LLM integration, modern full-stack development, and comprehensive test automation.

Core Philosophy: "Serenity as Strategy" — transforming uncertainty into structured action through calm, traceable processes where AI suggests but humans decide. Autonomous, resilient, and visionary with a proven track record of delivering consistent value under real-world constraints.

Recent work spans applied AI/LLM systems in production (RAG pipelines, agent orchestration), full-stack platforms, and large-scale test automation across healthcare, fintech, real estate, and supply-chain domains.

🤖 AI/ML Expertise: Trained custom GPT models from scratch with PyTorch on NVIDIA Ada GPUs, integrated Claude API and ChatGPT into production systems, built intelligent agents for decision support.

🔧 Full-Stack Mastery: .NET Core since 2014, React/Angular ecosystems, real-time WebRTC platforms, microservices architecture, and enterprise system integrations.

🧪 Testing Excellence: Comprehensive test automation with Jest, Cypress, Playwright, Selenium. CI/CD pipeline integration and expanding coverage across all testing domains.

11 years C# | 10 years JavaScript | 5 years TypeScript | 3 years Python

Backend

Frontend

Testing

10 Copy/Paste AI Prompts for Developers — No Fill-in-the-Blanks

A tight, opinionated collection of prompts I use daily across all my projects. Stack-agnostic, ready to paste into any AI assistant. Covers refactoring, debugging, security audits, AI output quality, and more.

Why it exists: Most prompt repos have you fill in brackets or pick a framework. These just work — paste, describe your problem, get results.

Custom GPT Model Training from Scratch with PyTorch on NVIDIA Ada GPUs

Hands-on deep learning project implementing and training a minimal GPT architecture (nanoGPT) using PyTorch. Demonstrates end-to-end machine learning workflow from model implementation to GPU-accelerated training, showcasing practical knowledge of transformer architectures, gradient optimization, and CUDA programming.

Stack: PyTorch · CUDA · Python · NVIDIA Ada GPUs · Transformer Architecture · nanoGPT

Achievements:

• ✅ Trained GPT model from scratch
• ✅ GPU-accelerated training pipeline with CUDA optimization
• ✅ End-to-end ML workflow from data to deployment

Real-time Voice Platform with End-to-End Encryption

Sophisticated real-time communication platform leveraging advanced WebRTC protocols for secure, low-latency audio streaming. Implements complex signal processing algorithms for noise reduction while maintaining end-to-end encryption.

Stack: WebRTC · Node.js · Socket.io · Signal Processing · End-to-end Encryption

Achievements:

• ✅ Built secure real-time voice communication
• ✅ Implemented noise reduction algorithms
• ✅ Low-latency streaming for concurrent users

• 🎯 11+ Years of software engineering experience across diverse industries
• 🤖 AI Integration Pioneer: Built GPT agents, trained custom models, integrated Claude/ChatGPT in production
• 🧪 Test Automation Expert: Comprehensive automation across Jest, Cypress, Playwright, Selenium
• 🏗️ Enterprise Architect: Multi-tenancy, CQRS, Clean Architecture, microservices
• 🌐 Real-time Systems: WebRTC platforms, distributed messaging, event-driven architecture
• 💰 Cross-Industry Expertise: Healthcare, Finance, Real Estate, Supply Chain, Automotive
• 🔧 Early .NET Adopter: .NET experience since 2014, led legacy system migrations
• 🎓 Continuous Learner: Bachelor's in Computer Systems Engineering (UTEL 2024)

Key Achievements:

• Integrated AI/ChatGPT systems into enterprise real-estate platforms
• Built scalable supply-chain planning tools with React/.NET
• Trained custom GPT models from scratch with PyTorch on NVIDIA Ada GPUs
• Designed comprehensive test-automation strategies for enterprise SaaS platforms
• Developed production vegan distribution platform serving real businesses

• 🤖 Building applied AI / LLM systems — agent orchestration, RAG pipelines, and developer tooling
• 🧪 Test Automation at scale — functional, API, performance, and security testing across enterprise platforms
• 🏗️ Building Personal Infrastructure: automation and developer tooling for decision support
• 📚 Learning: Advanced Kubernetes patterns, observability systems, healthcare-grade security

Open to:

• AI/ML Engineering roles
• Senior Full-Stack positions
• Test Automation Architecture
• Technical Leadership opportunities

💼 Professional Email: bernarduriza@gmail.com 🌐 Website: bernarduriza.com 💻 GitHub: @BernardUriza 📍 Location: Remote · US time zones