data wrangling , production deployment , Machine Learning, Algorithms, Spark, Databricks, Python, AWS, Feature Engineering, Go, Model Training, Numerical Computing, Monitoring

Machine Learning, Deep Learning, Nlp, Explanation Generation, Labeling Automation, Risk Detection, Agent Workflows, Multimodal Learning, MLLM, Representation Learning, reinforcement learning, Taxonomy Tag Generation, Llm, Cv, Traceable Decision Logic, CoT-style Reasoning, Quality Evaluation, Intent Recognition

Pytorch, Spark, Python, ASR, fine-tuning, Ray, speech machine learning, Llm, Evaluation, SpeechLLM model training, distributed data processing, large-scale data engineering

Sql, Google Cloud, Tensorflow, Numpy, Git, Pytorch, Pandas, Docker, Terraform, Azure, Python, Kubernetes, AWS, LangChain, Scikit-learn, LlamaIndex

Tensorflow, Machine Learning, Big Data Analytics, Pytorch, Natural Language Processing, Python, Computer Vision, Transformers

Jax, Pytorch, Python, SFT, GPU-based training and inference system, Distillation, DPO, LoRA, QLoRA

Distributed Computing, Hadoop, Spark, cloud-native deployment, micro-services architecture, Map-Reduce, server side technologies, large scale machine learning infrastructure, information retrieval ranking algorithms

Algorithms, data structures, Python, planning memory modules, retrieval graph algorithms, prompt engineering, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, fine-tuning workflows, RLHF