🎓 Masters in Computer Science @ Cal State Fullerton (GPA: 3.95)
🤖 ML Engineer | AWS Certified AI & Cloud Practitioner
🔬 Research Focus: Computer Vision, MLOps, Deep Learning
🌍 Based in: Los Angeles, CA, USA
I'm passionate about building AI and machine learning solutions that solve real-world problems. My expertise spans developing scalable MLOps systems, computer vision research, and automated AI pipelines that deliver measurable impact.
- 🔍 Improved eye treatment diagnostics by 15% through advanced computer vision models
- 🚀 Automated 95% of software delivery workflows with AI-powered DevOps systems
- ⚡ Built real-time fraud detection with <3s latency on AWS Lambda
- 📈 Enhanced image quality by 20% through novel transformer-based techniques
- 🎯 Achieved 92% accuracy in emotion recognition for healthcare applications
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💻 Programming Languages
🧠 AI/ML Frameworks & Libraries
☁️ Cloud & DevOps
🔧 MLOps & Data Tools
💾 Databases & Storage
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Social & Intelligent Book Recommendation System 🔥 Tech Stack: FastAPI, React, Kubernetes, PyTorch, Pinecone
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AI-Powered DevOps Automation Framework 🔥 Tech Stack: LangGraph, Kafka, AWS, Docker
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Production-Ready Serverless ML Pipeline 🔥 Tech Stack: PyTorch Lightning, AWS Lambda, ONNX
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Secure Voting Analysis & Trend Prediction 🔥 Tech Stack: ARIMA, Siamese Networks, Kafka, Hadoop
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Advanced Style Transfer with Transformers 🔥 Innovation: Pyramidal positional encoding + RL |
Real-time Vehicle Detection & Tracking 🔥 Tech Stack: YOLOv8, WPOD-net, EasyOCR |
| Role | Company | Duration | Key Achievements |
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| 🔬 Research Assistant | EG-RSCA, UROC, CSUF | Jan 2025 - Aug 2025 | AI automation for fleet management - 20% reduction in equipment downtime |
| 👁️ Computer Vision Intern | VSquare MediTech | Apr 2024 - Jul 2024 | 15% improvement in diagnostic accuracy, 92% emotion recognition accuracy |
🧬 PyramidStyler: Transformer-Based Neural Style Transfer with Pyramidal Positional Encoding and Reinforcement Learning
Published October 2025
Abstract: The paper presents PyramidStyler, a fast neural style transfer framework that significantly reduces content and style loss while maintaining real-time inference speed.
Published September 2023
Abstract: Introduced a novel activation function to enhance neural network accuracy for diabetes prediction, contributing to improved healthcare AI solutions.
current_goals = {
"🎓": "Completing Masters in CS at Cal State Fullerton",
"🚀": "Building scalable MLOps solutions for production AI",
"📚": "Mentoring peers and leading AI workshops",
"🌟": "Contributing to open-source AI/ML projects"
}Python 12 hrs 30 mins ██████████████████░░░ 75.2%
JavaScript 2 hrs 15 mins ███░░░░░░░░░░░░░░░░░░ 13.5%
YAML 1 hr 10 mins █░░░░░░░░░░░░░░░░░░░░ 7.0%
Dockerfile 45 mins ░░░░░░░░░░░░░░░░░░░░░ 4.3%
I'm always excited to collaborate on innovative AI projects and discuss the latest in machine learning!
💡 "Building AI solutions that scale, innovate, and make a difference"
