AWS, Python, Docker, Typescript, React, Relational Databases, multimodal AI models, vector databases

Docker, AWS, Python, Typescript, React, Relational Databases, GitHub Actions, multimodal AI models, vector databases

snowflake , Machine Learning, Sql, Microservices, Jenkins, Azure Cloud, Docker, Data Warehousing, Python, Kubernetes, AWS, Generative AI, Cloud data reuse strategies, CI CD workflows, Data caching, Streamlit

Data Modeling, Data Warehousing, Python, Sql, Data lifecycle management

Scala, Prometheus, Grafana, Sql, Angular, Tensorflow, Nosql, Devops, React, Javascript, MLops, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, Scikit-learn, OpenAI

Machine Learning, Sklearn, Tableau, Deep Learning, Data Science, Seaborn, Pandas, Software Engineering, Numpy, Powerbi, Frontend, Matplotlib, Excel, Generative AI, LLMs, Programming in Python, Data Analytics using Python, Analytics, Agentic AI, Backend, Python Libraries, Business Intelligence

Git, Docker, Power Bi, Azure, microsoft power apps, Python, Azure DevOps, CI CD pipelines

PostgreSQL, Node.js, Django, Vue.JS, React, Typescript, Gcp, Javascript, Docker, MongoDB, FastAPI, Azure, Python, AWS, LangChain, Nest.js, LangGraph

Machine Learning, Data Mining, React, Docker, Agile, Python, AWS, Express.Js, Apis, Node.js, Predictive Modelling, Sdlc, Deep Learning, MERN, Devops, MLops, Gcp, Powerbi, Data Visualization, MongoDB, Azure, Kubernetes, Hugging Face, PowerAutomate, LangChain, LLMs, Transformers, Data Analysis, LlamaIndex

Tensorflow, Hadoop, AWS, Python, Azure, Machine Learning Algorithms, Pytorch, Spark, feature extraction, cloud environments, Signal Processing, R, data preprocessing techniques, Generative AI, time-series analysis