Large Language Models (LLMs), Tensorflow, Pytorch, Python, LangChain, Attention, Transformers, Hugging Face

unstructured data , Spark SQL, Apis, Python, Agentic AI principles, Prompt engineering, Simulation Models, Tool-using AI agents, LLMs, Autonomous workflows, heuristics, GenAI ecosystems, Structured data, Operations Research Optimization, Linear Mixed Integer Programming, Utility-based agents, Multi-step decision systems, MLOps deployment pipelines, Data pipelines, Multi-agent systems

Numpy, Scipy, Pandas, XGBoost, Pyspark, Python, Sql, Amazon Quick Sight, AWS SageMaker, Scikit-Learn

model development , Remaining Useful Life (RUL) estimation, GCP), Cloud platforms (AWS, Machine Learning, Azure, Python, Vibration signal processing, Time-series analytics, data acquisition, Predictive Maintenance, anomaly detection, Condition Monitoring, Failure prediction, AI frameworks, Signal Processing, Operationalization

Machine Learning Algorithms, Typescript, Python, Sql, Generative AI, AI services, Modern web frameworks, Data modeling techniques

data wrangling , Rsa, Microsoft Access, Qlik Sense, Power Bi, Agile Development Methodologies, Sql, Data Visualisation, Tensorflow, Pytorch, Docker, Python, Kubernetes, DevSecOps practices, Microservices Architecture, Sharepoint, Podman

automation technology , object detection , Docker, environmental analysis, Risk Assessment for Production, Deep Clean, Container Orchestration, growth management, Computer Science, design of experiments, environmental control, economic forecasting, Time Series Forecasting, Green Facilities Management, Model Deployment, Plant Simulation

Python, Sql, Google Cloud, ML Operations, Generative AI, R, Large Language Model, LLM-as-a-judge, cloud-native platforms, Retrieval-Augmented Generation, prompt engineering

Power Bi, Tableau, Sql, Python, Machine Learning, Statistical Modelling, R, Forecasting