data engineering , Git, Apis, Rest Apis, Python, Ai Development

pruning , Tensorflow, Pytorch, Pandas, Python, quantisation, model optimisation techniques, knowledge distillation, MLOps tools and practices, AI ML modelling

Eda, Power Automate, Power Platform, Clustering, Sql, Azure Machine Learning, Python, Power Apps, Classification models, anomaly detection, Fabric ML, Azure AI, Time-series forecasting, Copilot Studio

Python, Machine Learning, Computer Vision, C++, Nlp, Deep Learning, ROS, Robotics, Simulation, sensor fusion

containerization , Pyspark, Sql, Nlp, MLops, Databricks, Azure, Python, agentic AI frameworks, Transformers, RAG classification, vector databases, prompt engineering, Llm, evaluation frameworks, model optimization

Tensorflow, Numpy, Typescript, Javascript, Pytorch, Docker, Python, AWS, Java, Sql, Git, Pandas, Gcp, Azure, GenAI, AWS Bedrock, pgvector, Qdrant, Go, Azure OpenAI, LangGraph, OpenAI Agents SDK, LLM APIs, CrewAI, Scikit-learn, Anthropic, AutoGen, RAG, Milvus, OpenAI

Postgres, Python, LLM agent systems, Kali toolkit, systems debugging, asyncio, offensive security

Python, ROS 2, Isaac Lab, NVIDIA Isaac Sim

Devops, Text-to-SQL, agentic AI, knowledge graphs, AgentOps, enterprise cloud architecture, knowledge layer, Production Operations, RAG, LLM-based applications, trust and safety, MCP tools, cloud-native development