triton , Jax, Pytorch, Python, Recommender Systems, BigQuery, Deep Learning, Cuda, Spark, Low-latency inference serving, Multimodal Models, Mixed precision, Language Models, Distributed GPU training, Megatron-style frameworks, Data tensor and pipeline parallelism, TensorRT-LLM, DeepSpeed, Triton Inference Server, Large-scale GPU training, vLLM, Model compression, Deep Reinforcement Learning, FSDP

Loss Given Default (LGD), Probability of Default (PD), Exposure at Default (EAD), Sql, Numpy, Pandas, Statistical Modelling, Python, Logistic Regression, transition matrices, Data Analysis, scikit-learn, IFRS 9 ECL modelling, macroeconomic modelling, Survival Analysis, recovery analysis, statsmodels

Machine Learning, Python, Sql, R, Machine Learning Operation frameworks, Ai, Knowledge Graphs

Data Analytics, Deep Learning, Tensorflow, Git, Pytorch, MLops, Azure, Python, AWS, data management tools, Data Communication, statistical programming

prophet , Tensorflow, Numpy, Pandas, Pytorch, Gcp, Machine Learning, Azure, Statistical Modelling, AWS, PyMC, Cloud platforms, Scikit-learn, Stan, Time-series analysis, Python ecosystem

Jenkins, Machine Learning, Git, Azure Data Factory, Pyspark, Apache Spark, Azure Databricks, Statistical Modelling, Python, Sql, Spark MLlib

Python, AWS, Gcp, Azure, Prompt engineering, token optimization, Hugging Face, Pinecone, Chain-of-thought reasoning, Context management, vector DBs, tool augmentation, API-driven tool-integrated AI agents, RAG pipelines, LangChain, CrewAI, LLMs, Semantic Kernel, AutoGen, prompt optimization, Agent frameworks, FAISS, Transformers, GenAI frameworks, OpenAI, Weaviate

Machine Learning, Exploratory Data Analysis, Artificial Intelligence, Pyspark, Statistical Algorithms, Python, Sql, Deep Learning, Optimization Modeling

Machine Learning, Sql, Deep Learning, Tensorflow, Pytorch, MLops, Python, Generative AI, RAG, CI/CD, Pipeline Orchestration, MCP

Predictive Modeling, Machine Learning Algorithms, Predictive Analytics, Python, R