API design, React, Docker, Neo4j, Distributed Systems, Flask, Python, Redis, Cloud Infrastructure, FastAPI, tool calling, Hugging Face Transformers, Qdrant, Gradio, Pinecone, AWS Neptune, LLM APIs, vector search strategies, Streamlit, PEFT, DeepSpeed, model fine-tuning, RAG architecture, Accelerate, agent-based systems, prompt engineering, observability for AI systems, FAISS, LoRA, async workflows

bedrock , Machine Learning, Pytest, JUnit, Azure, Python, LangChain, embeddings, model fine-tuning, LLMs, transformer models, agent frameworks, prompt engineering, Semantic Kernel, LangGraph, AutoGen, Vertex AI, vector DBs, cloud AI platforms, OpenAI, LlamaIndex

data engineering , ELT, Tensorflow, Git, Pytorch, MLops, Docker, Terraform, XGBoost, Kubernetes, Python, Etl, AWS, scikit-learn, MLflow, SageMaker, Kubeflow

MLops, Pytorch, Databricks, Python, Computer Vision, Deep Learning Frameworks

BigQuery, Data Cleaning, Sql, Docker, Azure, Python, Statistical Analysis, Machine Learning Algorithms, AWS, advanced prompting strategies, embeddings, Agent-to-Agent A2A orchestration, Model Context Protocol MCP, Chain-of-Thought CoT prompting, fine-tuning models, Transformation, large datasets, scalable data processing workflows, GCP Vertex AI, Normalization, LangChain RAG frameworks, NLP techniques, Generative AI LLMs

Tensorflow, Pytorch, Pandas, Apis, Scikit-learn, GenAI