Phoenix, AZ, USA
Versatile Software & AI Engineer pursuing an M.S. in AI with 2+ years of experience engineering high-concurrency web applications, multi-tenant SaaS platforms, deep learning architectures, and GenAI pipelines.
Versatile Software & AI Engineer specializing in Full-Stack Development, System Architecture, and Applied GenAI. Proven track record of engineering production-ready SaaS, FinTech, and E-commerce platforms using Next.js, Node.js, Python, Docker, and AWS.
Trained a custom deep CNN in PyTorch with Whale Optimization Algorithm tuning for multi-class thermal recognition, reaching 95.52% test accuracy.
Built a real-time transit platform with automated route optimization, GPS tracking UI, WebSockets, QR enrollment, and programmatic SMS notifications.
Architected an event-driven chat infrastructure using Laravel Reverb, Redis Pub/Sub, and React for high-concurrency instant messaging.
Co-developed an automated invoicing platform integrating OpenAI API and RAG workflows for programmatic document parsing.
Architected object-oriented API designs featuring multi-bank payment integrations, synchronized cross-API communication, and secure transaction notifications.
Built multi-tenant SaaS operations and 3D printing e-commerce platforms using Next.js, Node.js, PayTR, AWS S3 hosting, and RBAC security.
Performance-optimized sportswear store with a focus on SEO, achieving a perfect Lighthouse score of 100, featuring secure checkout and custom UI components.
Hybrid automation platform connecting a React-based web interface with a local Python task executor for secure workflow synchronization.
Enterprise academic platform featuring real-time data streaming, secure RBAC access, analytics dashboards, and automated workflows for large-scale university operations.
A Python-based orbital mechanics simulator focused on the Three-Body Problem. Implemented complex physics equations via Canvas to visualize chaotic gravitational interactions.
Engineered a character-based tree structure (Trie) in Python to handle 1 billion records with millisecond-level latency, featuring a Tkinter visualization layer.
Developed a Multi-Layer Perceptron (MLP) using only pure C. Manually implemented Backpropagation, gradient descent, and partial derivatives without external ML libraries.
Avila University
2026 – Present
Goodyear, AZ, USA
Iskenderun Technical University
2021 – 2025
GPA: 3.35 / 4.00

Native

Upper-Intermediate (B2)

Beginner (A1)
Verified credentials from HackerRank
Phoenix, AZ, USA | Open to remote, on-site, and hybrid opportunities. Relocation is available.