Skills
Full Stack .NET
C#, .NET, Microservices, Modular Monolith, WPF, Blazor, React
Artificial Intelligence
Speech Recognition, Natural Language Processing, Conversational AI, Text Embeddings
On-device AI Integration
Edge AI Inference with C#, Python, TypeScript using ONNX (no C++)
Innovation & Product Design
Patent Development, Ideation, Design Thinking, Technical Design
Experience
Software Developer | .NET & Edge AI
Lead inventor of 10+ pending Agentic and Edge AI patents, contributing to AI services deployed to millions of devices
- Perform research and prototyping for patentable concepts, developing MVPs and system diagrams
- Develop C# speech recognition and conversational AI services using transformer models
- Build C# services for on-device classical and generative model inference using ONNX Runtime
- Develop .NET libraries for Edge AI inference and deploy them as NuGet packages to JFrog Artifactory
- Create robust data processing pipelines in C# to optimize AI models inputs and outputs
- Build WPF front-ends and APIs to simplify user interaction with AI capabilities
- Write C# and Python test suites for ML model accuracy and performance validation
Full Stack .NET Software Developer
Contributed to the development of a web platform for engineering management and workflow automation
- Designed 3 application subdomains consisting of 7 .NET Web APIs and 2 React micro-frontends
- Contributed to the development of 10+ additional microservices across other subdomains
- Optimized EF-generated SQL queries to improve database performance and reduce execution time
- Provided direct support to business stakeholders during User Acceptance Testing
- Facilitated daily stand-ups and resolved blockers on a rotation basis
- Mentored 3 interns and onboarded 4 developers
Junior .NET Software Developer
Contributed to the modernization of a legacy system, using the Strangler Fig pattern to gradually migrate a monolith to microservices architecture
- Built and maintained 10+ .NET Web APIs using C#, Entity Framework, and Oracle SQL
- Implemented comprehensive integration test suites, achieving 85%+ test coverage
- Implemented monitoring and alerting for 30+ microservices to accelerate issue detection
- Automated deployments across 4 environments using GitLab CI/CD, reducing release complexity