text classification , React, Typescript, Python, Pattern Recognition, Node.js, Neural Networks, AWS Bedrock, Claude, information extraction, NLP tasks, Agentic AI Engineering, Cloud Run, Embeddings, Next.js, Vertex AI, RAG architectures, Text-to-SQL, Cloud Functions, LLMs, Vector databases, GCP deployments, Gemini Enterprise, Code Cursor, GitHub Copilot

Power Platform, MLops, Azure Functions, App Services, Virtual Machines, Rest Apis, Python, Azure DevOps, vector search, AKS, Azure OpenAI, Azure AI Services, GitHub Actions, Azure AI Search, Application Insights, Azure Monitor, Microsoft Copilot Studio

Python, Sql, attribution models, LLMs, AI engineering, AppsFlyer, dynamic creative optimization tools, activation workflows, Adjust, campaign automation systems

Power Automate, Azure ML, Git, Microsoft 365, Docker, Rest Apis, Kubernetes, Model Context Protocol, Dataverse, custom connectors, MLOps practices, GCP AI Platform, AWS SageMaker, ETL processes, CI CD pipelines, Azure AI services, Microsoft Copilot Studio, data pipeline orchestration

Nosql, Gcp, Docker, Sql, AWS, Vector Database, AI Integration, ChromaDB, Pinecone, fullstack engineering, Prompt Engineering

Pytorch, Python, Tensorflow, Neural Networks, Deep Learning, Generative AI, VAEs, GANs, Transformer models

Javascript, MySQL, Bitbucket, Python, Django, HTML, CSS, Git, PostgreSQL, Pandas, LangSmith, LangChain

Sql, Nosql, Python, Machine Learning, API integration with LLM providers, RAG Retrieval Augmented Generation, LLM integration, Data engineering fundamentals, vector database, explainability requirements, Understanding of responsible AI principles, prompt engineering