About Nashid
English
Native or bilingual
Spanish
Basic
Experience
- Bazz TechtronicsAI Data TrainerTECHJune 2023 - Today (3 years)Houston, United States
- Training AI data models using data annotation and labeling for machine learning
- Engineering specialized prompts for high-quality text and image-based responses
- Programming C# .NET, Python code, and voice data into natural language for instructions
- Performing AI prompt and response rating reviews for quality assurance
- Global Medical ResponseIT Systems EngineerMEDICALJuly 2021 - June 2023 (1 year and 11 months)Dallas, United States
- Developed multiple enterprise UI and Backend projects in C#, Angular, GraphQL, RxJS, HTML5
- Supported operational systems for web APIs and deployment in Azure DevOps
- Performed website maintenance and handled production support bugs
- Created specialized app service scripts in Python and .NET (LINQPad)
- Migrated and upgraded .NET projects for long-term performance
- Bazz TechtronicsSoftware ProgrammerTECHNovember 2020 - July 2021 (8 months)Houston, United StatesBuilt modern UI prototypes using React, React Native, and Next.js to support updated client-facing product initiatives.Migrated older PHP systems into maintainable Laravel and Node.js backends that later supported React- based interfaces.Developed reusable React components to help unify design patterns across multiple frontend applications.Created mobile experiences using React Native for prototype NFT-generation tools and digital assetmanagement workflows.Integrated Next.js features such as server-side rendering and API routes for fast, SEO-optimized landing pages.Implemented REST APIs consumed by React and React Native clients to streamline user authentication and data interactions.Optimized client-side performance by reducing bundle sizes, implementing caching, and improving component rendering logic.Collaborated directly with designers and product managers to shape UX flows for web, mobile, and NFT- related applications.
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Education
- StanfordStanford
- Neural Networks, TensorFlow, scikit-learn, NumPy, Classification, Cluster – MLNeural Networks, TensorFlow, scikit-learn, NumPy, Classification, Cluster – ML