Senior at Florida International University (Knight Foundation School of Computing & Information Sciences) | Graduating December 2026

I specialize in building full-stack applications and data pipelines while exploring machine learning models. Technology isn't just my career path it's my passion. Whether bringing ideas to life or creating solutions that genuinely improve people's daily lives, I approach every project with enthusiasm and dedication.

A high-availability load balancing system demonstrating horizontal scaling, secure proxying, and failover the same infrastructure patterns used by Netflix, Amazon, and Spotify.

Tech Stack: Python • Flask • NGINX • Docker

Features:

• ⚖️ Load balancer distributing traffic across 3 worker containers with identity tracking
• 🔒 SSL/TLS encryption via Let's Encrypt for secure HTTPS communication
• 💀 Automatic failover if a server dies, traffic reroutes seamlessly
• 🎨 Color-coded UI showing which server handled each request in real-time
• 🚀 One-command deployment with docker-compose up

Full-stack car recommendation platform with AI-powered suggestions and 50,000+ vehicle database.

Tech Stack: React • Node.js • Express • Tailwind • OpenAI API • MYSQL

Features:

• 🧠 Custom scoring algorithm with AI recommendations
• 📊 50,000+ vehicle database with price lookup
• 🎨 Responsive UI with modern design

An AI-driven environmental monitoring system that automates butterfly detection and species identification using few-shot learning and transfer learning in TensorFlow.

Tech Stack: Next.js • Tailwind CSS • Python • TensorFlow • MongoDB • AWS • Raspberry Pi

Features:

• 🤖 Applied few-shot learning with an EfficientNetV2 model in TensorFlow to improve detection reliability with limited data
• 🧠 Leveraged transfer learning to adapt the model for new butterfly species
• 🔧 Worked with the hardware team to configure the Raspberry Pi, camera, and optical-flow modules, establishing a live data stream for model inference
• 🌐 Developed a responsive web interface using Next.js and Tailwind CSS to visualize real-time detection results
• 🤝 Collaborated across hardware, web, and machine learning teams to integrate the system end-to-end

A Discord bot helping students land tech jobs through automated mock interview pairing and real-time job postings.

Tech Stack: Python • Discord.py • GitHub Actions • REST APIs

Features:

• 🎯 Auto-matches users by difficulty level (Easy/Medium/Hard) with coding problems and industry-standard evaluation rubrics used by actual interviewers
• 🔊 Creates private voice channels with automatic cleanup after sessions end
• 💼 Posts internship & new grad jobs 4x daily sourced from job boards
• 🎓 Filters for SWE, PM, and Data Science roles only shows jobs posted within 0-3 days

AI deepfake detection model that distinguishes between authentic and AI-generated images using instance segmentation.

Tech Stack: Python • Flask • OpenCV • Google Colab • Roboflow

Features:

• 🔍 Instance segmentation for AI manipulation detection
• ⚡ 2.0ms image analysis with 75-80% accuracy
• 🛡️ Combats harmful deepfake media dissemination

Featured In:

• Refresh Miami — "Breaking Into Tech"
• FIU News — "Buzz Ignites Career Path for Engineering Senior"