containerization , Tensorflow, Azure ML, MLops, Pytorch, Python, Prompt engineering, GenAI Agentic frameworks, GCP Vertex AI, Autonomous agents orchestration, AWS SageMaker, RAG pipelines, Multi-agent systems

Hypothesis Testing, Microservices, cloud, Python, AWS, Apis, Gcp, Databricks, Azure, embeddings, vector databases, Pinecone, model observability, Statistical Modeling, evaluation frameworks, Async streaming architectures, LangChain, LLMs, Agents, prompt engineering, AutoGen, Gen AI, FAISS, RAG, feature engineering, Weaviate, LlamaIndex

Data Science, LLM Development, Fine-tuning, Agentic AI, LangChain, LlamaIndex, Semantic Kernel, RAG Pipelines, Prompt Engineering, AI Orchestration

SAP, Advanced Analytics, Data Visualization, Sql, Python, Modern AI Tools, Business Translation, Data Science and Analyses, Generative AI LLMs, Data Engineering ETL

vectorization , snowflake , Exploratory Data Analysis, Performance Tuning, Pyspark, Sql, Pandas, Database Optimization, Scikit, Databricks, Python, Evaluation metrics, Model Tuning, Statistics, Vector stores, Regression data analysis, RAG based agents, Agentic AI, Data Analysis, PySQL, Machine Learning techniques

Python, AWS, Agentic AI frameworks, Agent orchestration on cloud platforms, RAG Retrieval-Augmented Generation, MLOps best practices, semantic search, Low-code No-code agent building, CI CD pipelines, Azure Cognitive Search, Microsoft Bot Framework, Azure Cognitive Services, Google Perplexity

vectorization , snowflake , Exploratory Data Analysis, Performance Tuning, Pyspark, Sql, Pandas, Database Optimization, Databricks, Python, Evaluation metrics, LLM RAG based agents, Model Tuning, Statistics, Vector stores, Regression data analysis, Agentic AI, PySQL, Data Analysis, Machine Learning techniques