Pytorch, Neural control systems, Multi-sensor data streams, Agent-based training paradigms, Deep learning libraries, Policy learning, Multi-node GPU training workflows, Telemetry analysis

Machine Learning, React, Typescript, Natural Language Processing, Kubernetes, Python, Generative AI, Large Language Models

MLops, Model performance monitoring, Model Development Optimization, Drift detection, Data Feature Engineering, AI Engineering, Production Systems Software Engineering, CI CD for ML systems

pruning , Gpu, Python, Dsp, Continuous batching, LLM inference engines, ARM CPU, Quantization, TorchScript, MNN, ONNX, FP16, NCNN, TNN, NPU, Qwen, Gemma, Profiling Tools, Distillation, Speculative decoding, INT4, LLaMA, Performance profiling, KV Cache compression, KV Cache, INT8, Transformer attention mechanisms, Linux development environments, ExecuTorc, Mistra, Model Compression

Machine Learning, C, Cnn, Deep Learning, Tensorflow, Rnn, Pytorch, Python, Transformer, LSTM, ViT, MxNet, Caffe

Grafana, Redis, React, Typescript, FastAPI, Python, LangChain, Go, LangSmith, LangGraph, Temporal, OpenTelemetry

Grafana, Redis, React, Typescript, FastAPI, Python, Text-to-SQL, LangChain, EvalsHub, LLM-as-judge, Go, semantic retrieval, LangSmith, Text-to-DSL, LangGraph, embedding evaluation, Temporal, OpenTelemetry, RAG, model benchmarking

Pytorch, Docker, Kubernetes, Python, ML platform engineering, GenAI, GPU optimization, DeepSpeed, LLMs, distributed training, cloud environments, DDP, AI agents, FSDP

Data Analytics, Graphql, Hadoop, Scala, Sql, Google Cloud, React, Typescript, Javascript, Pandas, Docker, Terraform, Spark, Azure, Kubernetes, Python, AWS, AI ML solutions, large-scale data platforms, Scikit-learn, Generative AI tools, Large Language Models

snowflake , Tensorflow, Java, Pytorch, Python, Scikit-learn