🎯 Technical Leader | Senior Software Engineer | Application Architect | Certfied Agile Project Management Professional
🌐 Building modern enterprise applications with a focus on problem solving, ROI, Artifical Intelligence, clean architecture, scalability, reliability and security.

With over 11 years of professional experience, I specialize in designing and developing robust web applications, secure APIs, and data integration workflows. I've worked across industries like higher education, healthcare, retail, government, and research, contributing to digital transformation through scalable, maintainable systems.

I enjoy bridging technical depth with leadership — mentoring developers, refining SDLC processes, and aligning tech strategy with business goals.

• 💻 Built full-stack enterprise applications using C#, ASP.NET MVC 4/5, Web API 2, .NET Core 1.0 - 9+, Angular 2+, jQuery, and HTML5
• 🧠 Designed complex database logic and reporting with Oracle PL/SQL, SQL Server, and ETL tools
• 🔐 Implemented OAuth2 and OIDC with Duende IdentityServer and legacy OWIN-based auth systems
• ⚙️ Led modernization of legacy monoliths into modular .NET Core services with CI/CD and infrastructure-as-code
• 📊 Created data visualizations, reports, and pipelines for clinical trial systems and business intelligence
• 🏥 Passionate about healthcare technology, imaging systems (DICOM/XNAT/OHIF), and data-driven solutions

Languages & Frameworks:
C# | Python | JavaScript | ASP.NET Core | MVC | Web API | JQuery | Angular

Databases & Reporting:
SQL Server | Oracle PL/SQL | SQLite | SSRS | Entity Framework | Dapper

DevOps & Cloud:
Azure | AWS | IIS | GitHub Actions | Docker (non-GPU) | CI/CD pipelines

I'm exploring how AI and machine learning can enhance application development, automate workflows, and unlock new capabilities in data-driven systems.

• Python (Pandas, NumPy, Scikit-learn) for data analysis and model prototyping
• Hugging Face, and spaCy for NLP and generative AI
• TensorFlow, PyTorch – basic model experimentation and deployment setups
• LangChain, LLM APIs, and prompt engineering for intelligent automation
• REST API integrations with third-party AI services (Azure AI, Google AI)

• Automating data transformation and reporting workflows
• Enhancing UI/UX with AI-assisted features (e.g., summarization, segmentation, recommendations) (Monai, SAM, Med-SAM)
• Building intelligent agents that support development, QA, and decision-making (Agentic AI)
• Exploring AI's role in system design, documentation, and code refactoring (Codex, Co-Pilot Agent)

Other Interests:
🩺 Clinical Research Tech | 📷 Medical Imaging (DICOM, OHIF, XNAT) | 🛠️ Clean Architecture | 🔄 Data Engineering | 🧪 Integration Testing

I'm always open to collaborating on impactful open-source projects or exploring leadership opportunities in application development.

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