I'm a System Engineer & AI Solution Developer specializing in rapid development solutions, on average reducing development time by 60% through advanced AI tools and strategic integration. With a solid foundation in Computer Science and Engineering, I've expanded my expertise through Google certifications in Project Management, IT Automation with Python, UX Design, Data Analytics, and IT Support.
AI & Automation:
- GPT-4o | Claude 3.7 | DeepSeek R1 | Qwen2.5 | Grok v3
- Rapid Development | AI-Driven Solutions
- MCP Integration | AI Agents | Workflow Automation
Development:
- Python | Django | PHP | JavaScript | PowerShell | SQL | Solidity
- Web/Mobile/Backend Solutions
- Responsible Code Practices | Clean Architecture
IT Infrastructure:
- Windows Server | VMware ESXi | Microsoft Azure
- ServiceNow | ITIL Framework
Data & Analytics:
- MS SQL | MySQL | Tableau | PyTorch
- NumPy | Pandas | Data Visualization
Additional Expertise:
- Enterprise Security | Managed Print Services
- Technical Support | Project Management
AI-Driven Solutions:
- Custom CRM Ticketing System - Cut development time from 6+ months to 2 months (66% reduction)
- Complex Report Generation App - Reduced development time from 1 month to 3 days (90% reduction)
- Bill Approval System - Completed in 2 weeks vs. standard 1-month timeline (50% reduction)
Model Context Protocol (MCP): Expertise in implementing the Model Context Protocol (MCP) open standard to create seamless connections between LLM applications and external data sources/tools. This enables context-aware AI systems that leverage organizational knowledge bases and specialized tooling.
AI Agents & Automation:
- Design and deployment of autonomous AI agents that perform complex tasks with minimal supervision
- Development of multi-agent systems that collaborate to solve complex business problems
- Implementation of sophisticated automation workflows using LLMs for decision-making processes
- Integration of retrieval-augmented generation (RAG) for knowledge-intensive applications
Responsible AI Development: Committed to ethical AI implementation with focus on:
- Thoughtful code review and validation, not blindly accepting AI-generated solutions
- Deep understanding of all implemented code, regardless of its source
- Custom-tailored solutions adapted to specific contexts rather than generic outputs
- Transparency and explainability in AI decision-making
- Bias mitigation and fairness in AI systems
- Privacy-preserving techniques for sensitive data
- Robust security measures to prevent misuse
| Total Stars | Total Commits | Total PRs | Total Issues | Contributed to |
| 85 | 176 | 48 | 49 | 3 |