Ml, Nlp, Docker, Flask, FastAPI, Python, LangChain, GenAI, LLMs, Hugging Face Transformers, SLMs, vector databases, embedding models, RAG, OpenAI Anthropic SDKs, LanGraph

Git, Docker, FastAPI, Python, Vector databases, RAG implementation, LLM API usage

Python, Audit logging, Failure-mode thinking, LLM tool-calling

Machine Learning, Sql, Deep Learning, Nosql, Jenkins, MLops, Docker, Kubernetes, Computer Vision, Aws S3, LangChain, CrewAI, Generative AI, Vector DB, Experimentation Frameworks, Foundational ML techniques, Agentic AI, Feature Stores, Drift Detection, RAG, CI/CD

Enterprise integrations – Graph API Power Automate Salesforce etc., RAG pipelines and vector databases – FAISS Pinecone pgvector, Prompt engineering LLM evaluations HITL workflows, Python FastAPI async programming, Multi-agent architecture – tool use memory planning guardrails observability, Production-grade LLM solutions – OpenAI Anthropic Azure OpenAI, Secure credential management managed identity enterprise integration patterns, Azure AWS GCP cloud deployment, Agentic AI frameworks – LangGraph LangChain AutoGen CrewAI

Apis, Random Forest, Docker, XGBoost, Python, LangChain, embeddings, n8n, LLMs, Pinecone, Semantic Kernel, Chroma, FAISS, RAG, LlamaIndex, Prompt Engineering

Machine Learning, Deep Learning, Python, Tensorflow, Data Analysis, Model Deployment

Sql, Devops, AWS, FastAPI, Mssql, Python, Kubernetes, Docker, Nlp, Flask, Generative AI, LLMs, OpenAI, Gemini, Prompt Engineering, Text-to-SQL, Vector Databases, RAG, LangChain, Anthropic, Embeddings, Agentic AI

Node.js, Python, Google AI ecosystem, Agent Development Kit, secure API authentication, Gemini API, REST API design, structured JSON response handling, prompt engineering, microservices architecture, output evaluation, Vertex AI, agent orchestration

Nlp, Ml, Python, retrieval, LLM interfaces, agentic AI systems, LLM pipelines, memory evaluation, fine-tuning, prompt engineering, Evaluation