Full-Stack Software Developer | AI Developer
Welcome to my GitHub! I am a committed Full-Stack Software Developer who bridges the gap between intelligent data-driven systems and scalable web applications. I love building out complex back-ends, integrating AI models, and creating seamless user experiences.
- π Iβm currently working on: developing scalable Full-Stack web applications and integrating custom AI models to build smarter, data-driven software solutions.
- π± Iβm currently learning: advanced deployment strategies for machine learning models and optimizing back-end architecture for high-performance applications.
- π€ Iβm looking to collaborate on: Open-source AI tools and innovative Full-Stack projects.
- π¬ Ask me about: Python, C#, JavaScript, back-end architecture, and integrating machine learning into applications.
- π« How to reach me: Let's connect on LinkedIn or reach out via email at hamedpayanda@gmail.com.
- β‘ Fun fact: My programming journey actually started by snapping together visual code blocks in Scratch, and today I'm building complex AI models and full-stack architectures!
Frameworks & Back-End Platforms
flowchart LR
%% Defining styles
classDef frontend fill:#1572B6,stroke:#333,stroke-width:2px,color:#fff;
classDef backend fill:#239120,stroke:#333,stroke-width:2px,color:#fff;
classDef ai fill:#3670A0,stroke:#333,stroke-width:2px,color:#fff;
classDef db fill:#000000,stroke:#333,stroke-width:2px,color:#fff;
%% Nodes
Client([π» Web Client<br/>HTML, CSS, JavaScript]):::frontend
subgraph Core Back-End Services
API[βοΈ API Gateway & Microservices<br/>C#, Java, Node.js]:::backend
DB[(ποΈ Database<br/>SQL)]:::db
end
subgraph AI & Data Engine
Data[π Data Processing<br/>R, Pandas]:::ai
ML[π§ Machine Learning<br/>Python Models]:::ai
end
%% Connections
Client <-->|REST / GraphQL| API
API <-->|Read / Write Queries| DB
API <-->|Request Predictions| ML
Data -->|Train & Optimize| ML
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π§ AI Career Coach - An interactive AI application suite featuring a resume polisher, cover letter generator, and career gap analyzer. Built using a Python/Gradio front-end integrated with IBM watsonx.ai (Meta Llama 4) cloud LLMs.
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π Watsonx Voice Translator - An end-to-end speech-to-speech translation web app that captures audio, translates contextually, and synthesizes speech. Built with a Python Flask backend, IBM Watson Speech Libraries (STT/TTS), watsonx.ai (Mistral), and containerized with Docker.
