retrieval-augmented generation (RAG), Weights & Biases, Prometheus, Grafana, Tensorflow, Pytorch, Docker, Python, Kubernetes, Airflow, TensorRT, MLflow, vector databases, batching, Prefect, ONNX, LLM fine-tuning, DVC, OpenTelemetry, GPU optimisation, mixed precision, CI/CD

Machine Learning, Docker, Python, Kubernetes, Computer Vision, Transformer Architectures, Vision-Language Models

Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Python, Solution Deployment, Data Science, Generative AI, LangGraph or similar frameworks, Cloud computing environments

Ml, Algorithms, Pytorch, Python, Transformers, Ai

Machine Learning, Software Development, Testing, Software Design, Programming Languages, Deep Learning, Debugging, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, launching software products, Optimization, Ai Development

Pytorch, Python, hardware-aware ML optimization, hardware co-design, flow matching, KV cache optimization, sparsity, speculative decoding, custom instrumentation, caching strategies, Nsight, efficient inference techniques, Distillation, state space models, PyTorch Profiler, LoRA adapters, quantization, benchmarking frameworks, applied research, Transformers, attention mechanisms, fine-tuning large models, training evaluation pipelines, Profiling Tools, attention variants, MoE routing, algorithmic acceleration, diffusion models

bedrock , stream processing , Apis, Azure, Python, Etl, AWS, LangChain, Qdrant, async systems, Pinecone, agent frameworks, LangGraph, Vertex AI, LLM orchestration, OpenAI, RAG pipelines, Weaviate, LlamaIndex, distributed architectures