Wajid Ali
AI Engineer
I build Computer Vision, Biometrics and LLM-powered systems that work in the real world.
AI engineer with 3+ years of experience in machine learning and computer vision, currently completing my Master's in Biometrics & Intelligent Vision at Université Paris-Est Créteil. I build computer vision, biometrics and LLM-powered applications, and I'm looking for an end-of-degree internship.
Explore real-world computer vision, biometric, and LLM implementations
Track Record That Speaks
From computer vision and biometrics to LLM-powered applications, real projects built end to end and shared openly on GitHub.
Computer Vision & Biometrics
State-of-the-art object detection, facial recognition, pose tracking, and OCR with OpenCV, YOLO, and MediaPipe.
Deep Learning Architectures
Custom CNNs, Vision Transformers (ViT), and transfer learning using PyTorch and Hugging Face.
LLMs & Multimodal Systems
Domain-specific fine-tuning, RAG pipelines, Vision-Language Models (VLMs), and structured output extraction.
High-Throughput Model Serving
Production-grade asynchronous APIs built with FastAPI, Docker containerization, and Redis queues.
Edge & Real-Time Optimization
Model quantization, ONNX Runtime conversion, and TensorRT acceleration for low-latency edge deployment.
Full-Stack Integration
End-to-end integration connecting ML backends with responsive web interfaces, telemetry, and automated CI/CD.