Machine Learning, Data Mining, Statistical Modelling, Machine Learning Concepts and Algorithms

Microsoft Excel, Sql, Customer Relationship Management tools

Pytorch, Python, GPU-based training experiments, reward design, multilingual or Indic-language models, JAX Flax, distributed training, reinforcement learning, knowledge distillation, model compression, post-training open-weight LLMs, supervised fine-tuning, preference optimization

Scalability, Sql, Ml, Model Building, Deep Learning, Predictive Modelling, AWS, Python, Azure, Nlp, Hypothesis Testing, Data Cleaning, LLMs, Feature Engineering, Unsupervised Machine Learning, Supervised Machine Learning, Prompt Engineering, Ai, Operationalization, Experimentation Setup, Vector Databases, Transformer Architectures, RAG Applications

computational science , theoretical physics , Artificial Intelligence, Control Algorithms, Software Development, Machine Learning, Simulation-Driven Engineering, Physics-Informed Neural Networks, Data Pipelines, Statistical Modeling, Systems engineering

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures

MLops, Python, Azure Infrastructure, Azure DevOps, automated testing frameworks, CI CD workflows, Data AI Projects, Generative AI solutions, scalable RAG systems, deployment and governance of AI applications, GPT models, vector databases, secure data pipelines, Azure OpenAI integration, Azure AI Search, model tuning, prompt engineering