Orchestration, Ffmpeg, Terraform, Docker, AWS, Cloudformation, Jenkins, Git, Ansible, Puppet, Kubernetes, Chef, containerisation, Dolby audio, Infrastructure-as-Code IaC, SCTE-35 ad signalling, closed-captions and subtitles, Cloud and Automation, video processing pipelines, Google Cloud GCP, Ateme solutions, transport protocols, CI CD pipelines, packaging and streaming tooling, AI ML LLM technologies, video codec ecosystems

Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, deep learning frameworks, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools

pruning , containerization , Tensorflow, Pytorch, Docker, Distributed Systems, Python, AWS, Java, Gcp, Cloud Infrastructure, Azure, Kubernetes, Airflow, codec standards, data pipelines, h.264, MLflow, HEVC, knowledge distillation, Kubeflow, MLOps tools, quantization, AV1, video processing pipelines, model optimization techniques, machine learning systems architecture, streaming technologies, inference optimization, efficient inference, model serving

Typescript, Javascript, CSS, HTML, Client performance engineering, Design sensibility, Modern frameworks, AI-native engineering practice, Databases infrastructure, Backend APIs, Real-time systems