Expertise
Technical skills and capabilities refined throughout my career
With decades of professional experience spanning diverse technological ecosystems, I bring exceptional breadth and depth to every project. My greatest strength lies in my ability to rapidly consume and master new software stacks and infrastructures. I thrive in environments of continuous technological evolution, constantly expanding my expertise to remain at the forefront of industry developments.
Technical Expertise
My comprehensive technical background includes:
Artificial Intelligence:
- Large Language Models (LLMs): OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), xAI (Grok), oLlama
- AI Search & Research Tools: Perplexity, You.com
- Advanced AI Techniques: Retrieval-Augmented Generation (RAG), Multi-agent Collaborative Processing (MCP)
- AI Application Development: Custom AI agent design and implementation
- AI Integration: Embedding AI capabilities into existing enterprise applications
- Prompt Engineering: Designing effective prompts for optimal AI responses
- AI Prompt Optimization: Fine-tuning prompts for specific use cases and performance
- AI Ethics & Governance: Implementing responsible AI frameworks and policies
- AI Solution Architecture: Designing scalable, robust AI systems
Development & Architecture:
- React and Node.js for web application development
- Mobile app development with Swift, Objective-C, Java, and Kotlin
- Full-stack development workflows and architecture
- Enterprise application design and implementation
- Solution architecture and systems integration
- Search Engine Optimization (SEO)
- Answer Engine Optimization (AEO)
Database Technologies:
- Relational databases: Oracle, Microsoft SQL Server, SQLite
- NoSQL solutions: MongoDB and other NoSQL databases
- Graph databases: Neo4j, Amazon Neptune
- Immutable databases: Datomic, XTDB (formerly Crux)
- Database design, optimization, and management
- Data migration and integration strategies
Cloud & Infrastructure:
- AWS (EC2, S3, Lambda, CloudFormation)
- Microsoft Azure (App Service, Azure Functions, Azure DevOps)
- Google Cloud Platform (Compute Engine, Cloud Functions)
- Docker containerization and Kubernetes orchestration
- DevOps practices and CI/CD pipelines
- Continuous Integration/Continuous Deployment (CI/CD) workflows
Project Management & Development Methodologies:
- Agile methodologies (Scrum, Kanban, SAFe)
- Project tracking and management with Jira
- Azure DevOps for full development lifecycle management
- Sprint planning and backlog management
- Team collaboration and coordination
- Iterative development practices
Networking:
- Network infrastructure design and implementation
- DNS configuration and management
- NGINX web server setup and optimization
- SDN (Software-Defined Networking)
- VPN configuration and management
- Network security protocols and firewall management
Security:
- Identity and access management (IAM)
- Application security best practices
- Data encryption and protection strategies
- Compliance with industry standards (GDPR, HIPAA)
- Penetration testing and vulnerability assessment
Emerging Technologies:
- Digital transformation strategies
- Business process automation
- Blockchain technology applications
- IoT (Internet of Things) architectures
Technical Skills
Frontend Development
React
Angular
Vue.js
TypeScript
JavaScript
HTML5/CSS3
Responsive Design
Redux
Backend Development
Node.js
Java
Python
C#/.NET
Express
RESTful APIs
GraphQL
Microservices
Mobile Development
React Native
iOS (Swift)
Android (Kotlin)
Progressive Web Apps
Cloud & DevOps
AWS
Azure
Google Cloud
Docker
Kubernetes
CI/CD
Infrastructure as Code
Serverless
Private Cloud Security
Database & Storage
SQL Server
PostgreSQL
MySQL
MongoDB
Redis
Firebase
Elasticsearch
DynamoDB
Enterprise Platforms
Salesforce
SharePoint
Dynamics 365
SAP
ServiceNow
Oracle