Syed Faisal Abrar

I’m a Machine Learning Engineer specializing in Deep Learning, Computer Vision, and MLOps, with hands-on experience deploying real-time AI systems and integrating Large Language Models (LLMs) into production-ready environments. I’m passionate about transforming complexity into intelligent automation — from object detection on edge devices to scalable RAG chatbots and GPU-optimized inference pipelines. My approach to AI blends both engineering precision and human insight. I study neuroscience, psychology, and critical thinking to cultivate effective leadership, decision-making, and team alignment in tech-driven environments. I believe AI isn’t just about machines learning — it’s about humans evolving alongside them. Let’s connect if you’re looking for someone who can: Design and deploy end-to-end AI pipelines (from research to real-world impact) Fine-tune and optimize YOLO, SAM, SegFormer, or LLM-based systems Build scalable MLOps workflows (FastAPI, Docker, RunPod, AWS, Hugging Face) Combine strategic thinking with technical depth for next-generation AI solutions ⚡ Technical Stack & Skills: Python | PyTorch | TensorFlow | OpenCV | FastAPI | Hugging Face | MLflow | Docker | GCP | AWS | CUDA | LLM | RAG | Data Engineering | Model Deployment 📩 Open to collaborations, research opportunities, and freelance projects in AI, Computer Vision, and MLOps.