Python, Ai

data engineering , data wrangling , Retrieval-Augmented Generation (RAG), Machine Learning, Pyspark, Sql, Data Science, Docker, Terraform, Python, AWS, Generative AI, Prompt Templates, Large Language Model APIs, Cloud Platforms, R, Data Processing, CI/CD, Model Evaluation and Observability, Monitoring and Troubleshooting, Agentic Patterns, Infrastructure-as-Code, AI Workflow Automation

Data Modelling, Sql, GenAI, multi-agent systems, LLMs, copilots, enterprise-scale AI applications, RAG prompt engineering, LLM orchestration frameworks, automation agents, chatbots, evaluation frameworks, agentic architectures, responsible AI practices, observability, analytical workflows

Apache Hadoop, Powerbi, Pyspark, Apache Spark, Cloudera, Databricks, Rapidminer, Python, Sql

Sql, Deep Learning, Tensorflow, MLops, Pytorch, Docker, Neo4j, Opencv, FastAPI, Kubernetes, Python, Computer Vision, LLMs, OCR Document AI, MLflow, Graph-RAG, YOLO, RAG, PaddleOCR

validation frameworks, compliance controls, ML systems, engineering reliability, governance standards, AI solutions

Api Development, Tensorflow, Pytorch, Databricks, Python, LangChain, content generation systems, computer vision models, generative AI solutions, cloud platforms, LangGraph, MLOps practices, observability tools for AI systems, LLM models, MCP-based integrations, evaluation techniques for GenAI, RAG pipelines

Machine Learning, Data Science, Data Visualization, Data Analytics, Python, Statistics, R, Data Analysis, AI frameworks