Petru Arakiss: AI & Software Engineering Leader | 18+ Years in Tech: Full-Stack, Cloud & AI 🚀 | Innovating at Tech Intersection
With 18 years at the forefront of tech innovation, I've cultivated a unique blend of expertise spanning AI, web technologies, cloud computing, and software architecture. My journey from web development pioneer to AI engineering leader has equipped me with a holistic view of the tech landscape, allowing me to drive innovation at the crossroads of multiple disciplines.
- Large Language Models (LLM): Customizing and deploying models like GPT, BERT, and T5
- Advanced Retrieval-Augmented Generation (RAG) Systems:
- Graph RAG: Implementing graph-based RAG for complex, interconnected information retrieval
- Hybrid RAG: Combining vector and graph-based approaches for comprehensive information access
- Cognitive AI Architectures: Exploring neural-symbolic integration and explainable AI systems
- MLOps: Implementing end-to-end ML pipelines, automated workflows, and monitoring systems using tools like MLflow and Kubeflow
- Computer Vision & NLP: Developing state-of-the-art models for image recognition and natural language understanding
- Frontend: React, Vue.js, Angular, Web Components
- Backend: Node.js, Express, FastAPI, Fastify
- Full-Stack: Next.js, Nuxt.js, MERN/MEAN Stack
- Progressive Web Apps: Offline-first applications, Service Workers
- Web Performance Optimization: Techniques for faster loading and rendering
- Multi-Cloud Expertise: AWS, Azure, Google Cloud Platform
- Azure DevOps: Proficient in end-to-end DevOps workflows, including Azure Boards, Repos, Pipelines, and Test Plans
- Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS)
- Serverless Architecture: AWS Lambda, Azure Functions, Azure Logic Apps
- CI/CD: Azure DevOps Pipelines, Jenkins, GitLab CI, GitHub Actions
- Infrastructure as Code: Terraform, ARM templates, CloudFormation, Ansible
- Monitoring & Logging: Azure Monitor, Application Insights, ELK Stack, Prometheus, Grafana
- Scalable System Design: Designing high-performance, distributed systems
- API Design: RESTful APIs, GraphQL, gRPC, Azure API Management
- Event-Driven Architecture: Implementing pub/sub models with Kafka, RabbitMQ, Azure Event Grid
- Domain-Driven Design: Applying DDD principles in complex business domains
- Microservices: Designing and implementing loosely coupled, scalable services
- Security Architecture: Implementing robust security measures in cloud and web applications
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AI-Enhanced Web Platform with Azure Integration
- Developing a next-gen web application integrating advanced AI capabilities
- Implementing Graph RAG for intelligent content retrieval and user interaction
- Leveraging Azure Cognitive Services and custom ML models for enhanced functionality
- Utilizing Azure DevOps for streamlined development, testing, and deployment
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Cognitive AI for Web Optimization and User Experience
- Creating AI models for predictive user behavior analysis and personalization
- Exploring neural-symbolic approaches for enhanced web accessibility and UX
- Implementing explainable AI features for transparent decision-making in web systems
- Integrating with Azure Machine Learning for model training and deployment
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Cloud-Native AI Development Framework
- Designing a framework that simplifies AI integration into web and cloud applications
- Developing reusable components for RAG systems and cognitive AI architectures
- Implementing MLOps best practices using Azure DevOps and Azure Machine Learning
- Creating CI/CD pipelines for automated testing and deployment of AI models
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Ethical AI in Web Technologies
- Researching and implementing bias mitigation techniques in AI-powered web services
- Developing privacy-preserving AI methods for sensitive web applications
- Collaborating on industry standards for responsible AI use in web technologies
- Ensuring compliance with data protection regulations in AI-driven systems
- Cross-Functional Leadership: Guiding teams across AI, web development, and cloud engineering
- Architectural Vision: Designing innovative solutions that leverage AI to enhance web technologies
- DevOps Culture Champion: Promoting DevOps best practices and continuous improvement
- Mentorship & Knowledge Sharing: Nurturing talent and promoting cross-disciplinary learning
- Innovation Culture: Fostering environments that encourage creative problem-solving and technological advancement
I'm always excited to connect with fellow tech enthusiasts, whether you're interested in AI, web technologies, cloud computing, or the exciting intersections between these fields. Let's explore how we can push the boundaries of technology together!
"Bridging the gap between cutting-edge AI, advanced web technologies, and cloud solutions to shape the digital future."