from neural_vision import *
model = create_cnn_model()
accuracy = model.evaluate()
confidence: 0.97
class: 'vehicle'
bbox: [x, y, w, h]
optimizer='adam',
loss='categorical_crossentropy'
)
training_accuracy: 98.5%
features = extract_features(image)
prediction = classify(features)
result: "success"
FPS: 60
Objects Detected: 23
Confidence: 96.8%
Memory: 14.2GB / 16GB
Inference Time: 12ms
Batch Size: 32
PROFILE.exe
Advanced AI Computer Vision Engineer specializing in developing cutting-edge neural networks for visual recognition, autonomous systems, and intelligent automation. Expert in deep learning architectures, real-time object detection, and edge AI deployment across various industries including healthcare, automotive, and industrial automation.
PROJECTS.db
ThreatCipher
Advanced security intelligence system with GPU-accelerated threat detection, multi-stage analysis, and comprehensive risk assessment capabilities.
SmartFace Sentinel
Real-time face recognition system with GPU acceleration, smart caching, and intelligent processing capabilities for high-performance security applications.
Casino Chip Detection
Real-time gaming chip detection and processing system with multi-model YOLO pipeline, advanced categorization, and comprehensive table monitoring.
Llama Fine-Tuned Spanish
Bilingual reasoning model fine-tuned with LoRA for English-to-Spanish mathematical problem solving with step-by-step educational explanations.
IP-Adapter Face ID
Advanced face-conditioned image generation system combining Stable Diffusion with InsightFace for precise facial control and high-quality output.
More Projects
Explore additional AI and computer vision projects, including research work, experimental models, and innovative solutions in development.
CV.download()
Professional Neural Profile
Access my complete professional neural network including experience matrices, education algorithms, certification protocols, and technical skill databases compiled for optimal performance analysis.