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

Ml, Cloud Migration, Software Engineering, multi-agent systems, Generative AI, application transformation, LLMs, Ai, AI-assisted application modernization, Security, Agentic AI, platform upgrades, responsible AI practices, Governance, observability, RAG architectures, autonomous agents