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

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

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

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

Machine Learning, Jax, C, Artificial Intelligence, Tensorflow, Data Science, Pytorch, Data Visualization, Statistical Analysis, Python, Generative Models, R, Score-based Diffusion Models, Experimental Design

Machine Learning, Python, ML techniques

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

Java, Hadoop, Scala, Apache Spark, Tableau, Sql, Tensorflow, Hive, Pytorch, Powerbi, Linux, Python

Ml, Tensorflow, Nlp, Pytorch, Python, multimodal fusion, Cv, MLLM, Agent technologies, DL, Llm