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

Apis, MLops, Gcp, System Design, Azure, Python, AWS, Agentic AI patterns, LLMs, cloud platforms, CI CD, prompt engineering, responsible AI principles, GenAI applications, AI governance, AI ML tooling, model monitoring

Sql, Api Integration, Automation Tools, Python, AI Customer Service Chatbots, zendesk, OpenAI, Claude, Gemini, SaaS system integration, Data Analysis, Large language models

data engineering , Azure Data Factory, Power Bi, Pyspark, Data Warehousing, Python, Sql, AI and Machine Learning, Microsoft Fabric

Phoenix, Flask, Python, FastAPI, AWS Bedrock, token optimization, MLflow, Azure OpenAI, LangSmith, LangGraph, GCP Vertex AI, semantic vector search, Langfuse, LLM orchestration, NLP techniques, Ragas, multimodal AI, TruLens, LangChain, CrewAI, multi-agent frameworks, Machine Learning Engineering, Arize, Generative AI LLM technologies, LlamaIndex, Transformer architectures

data engineering , Machine Learning, Power Bi, Pyspark, Sql, ELT, Azure Data Factory, Data Warehousing, Python, Etl, Ai, Microsoft Fabric

ticketing systems , service automation , Knowledge base systems, AI tools, Workflow tools, CRM platforms, Payments, Client Support, Operational workflows, Intelligent document processing, KYC Onboarding, Conversational AI, Workflow automation, Ai Development

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

Python, Pytorch, LLMs, RAG, Vector DB, TF, Hugging Face

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