Azure Databricks, Sql, MLops, Spark, Python, LangChain, data pipelines, Azure OpenAI, prompt engineering, LangGraph, GenAI patterns, RAG, Microsoft Copilot, Copilot Studio

MLops, Generative AI, RAG framework, BERT, LangChain, vector DB, Agentic AI, Transformer architecture, FAISS, Hugging Face models, statistical methodologies

New Relic, Java, Dynamodb, Jwt, Typescript, React, Kotlin, PostgreSQL, Spring Boot, React, AWS, Redis, FastAPI, Python, Graphql, Docker, Zilliz Milvus, GitLab CI, ElastiCache, LangChain, AWS Bedrock, OpenAI GPT-4, Google Gemini, Auth0, Anthropic Claude

Kubernetes, CDK, Typescript, Python, Docker, Terraform, Jenkins, DAST, Javascript, Platform Events, GitHub Actions, Vertex AI, Agentcore, Agentforce, DevSecOps practices, Weaviate, LangChain, pgvector, AWS Bedrock, Pinecone, SAST, LangGraph, Salesforce Apex

Rpa, automation, Zapier, Process Mapping, LLMs, n8n, ROI-backed improvement cases, make, operational process audits, AI tools for workflows, intelligent document processing

Node.js, Python, observability for AI systems, RAG pipelines, LLMs, AI ML or LLM-based systems, context orchestration, CI CD pipelines, AI-native developer tools

Software Engineering, Memory Management, Tool Integration, Core AI Competencies, Harness Engineering, AgentOps Observability, Context Engineering, Memory Systems, Multi-Agent Ecosystems, Agent Directing, Agentic Frameworks

Java, Tensorflow, MLops, Pytorch, Kubernetes, Python, Docker, Nlp, LangChain, GPT, BERT, GANs, Gemini, fine-tuning techniques, Llama, knowledge graph technologies, Haystack, vector databases, R, Graph RAG, RAG, prompt engineering, LLM architectures

Apis, Machine Learning, Numpy, XGBoost, Pandas, AI/ML Model Deployment, LightGBM, LangChain, Feature Engineering, Ai, Scikit-learn, Llm