$Initializing terminal... 0%
Available for opportunities
$ whoami

Hi, I'm Behzad Hassan

Computer Vision Engineer·AI/ML Specialist·Full-Stack Developer

AI & Computer Vision Engineer specializing in building end-to-end intelligent systems, real-time visual recognition pipelines, and high-performance production deployments.

About Me

AI/ML Engineer and Computer Vision Specialist specializing in Python, machine learning, and full-stack web development. My passion lies in bridging the gap between cutting-edge AI models and production-ready applications.

Currently conducting research on benchmarking Vision Language Models (VLMs)on Pakistani medical imaging data, focusing on chest X-rays, CT scans, and brain MRIs to evaluate AI diagnostic capabilities.

behzad@ai-core: ~

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Technical Expertise

Scroll to explore my skills

🧠

AI / Machine Learning

TensorFlow
PyTorch
Keras
scikit-learn
FaceNet
Generative AI
Vertex AI
VLMs
👁️

Computer Vision

OpenCV
MediaPipe
Real-time Detection
Pose Estimation
Facial Recognition
Face Mesh

Full-Stack Development

React
Next.js
Node.js
Express.js
Flask
Django
MongoDB
MySQL

Selected Projects

Model outputs from my workstation

01 / 08
AI Research1.2s · GPU

 

accuracy: 78.4% · 5 models · 3 modalities

Benchmarking 5 VLMs on Pakistani medical imaging — Chest X-ray, CT, Brain MRI. Live Next.js evaluation dashboard.

PythonPyTorchVLMsReactNext.js
0.0%
CLASSIFIED ✓
02 / 08
Full-Stack Design< 100ms · SSR

 

LCP: 0.8s · Lighthouse 98

Premium e-commerce frontend — fluid swipe navigation, hover-zoom inspection, minimalist design system.

Next.jsReactCSS ModulesUI/UX
0.0%
CLASSIFIED ✓
03 / 08
AI / Computer Vision34ms · GPU

 

mIoU: 82.1 · 19 classes · real-time

Real-time semantic segmentation of urban scenes. SegFormer-B5 Transformer on Cityscapes.

TransformerFastAPISegFormerCityscapes
0.0%
CLASSIFIED ✓
04 / 08
AI / Health Tech< 5ms · CPU

 

accuracy: 94.8% · 96K records

AI Disease Prediction — Random Forest on 96K+ records. Personalized treatment plans.

FlaskReactscikit-learnPandas
0.0%
CLASSIFIED ✓
05 / 08
Computer Vision28ms · CPU

 

track_id: stable · 30fps

Biometric fingerprinting for individual identification in video sequences. Real-time pipeline.

PythonOpenCVComputer Vision
0.0%
CLASSIFIED ✓
06 / 08
Computer Vision16ms · GPU

 

keypoints: 54 · 33 body + 21 hand

Reconstructs & tracks 3D human pose + hand landmarks in real-time. 54 total keypoints.

PythonOpenCVMediaPipe
0.0%
CLASSIFIED ✓
07 / 08
Deep Learning45ms · GPU

 

precision: 96.2% · cosine similarity

Facial recognition via FaceNet embeddings. Ranked similarity scoring against target directories.

PythonFaceNetFlaskDeep Learning
0.0%
CLASSIFIED ✓
08 / 08
Computer Vision12ms · GPU

 

landmarks: 468 · 3D mesh · 60fps

468-point 3D facial mesh in real-time. Precision tracking for AR and facial analysis.

PythonOpenCVMediaPipeReal-time
0.0%
CLASSIFIED ✓

Get In Touch

Have a project in mind or just want to say hi? My terminal is always open.

send_message.sh