Distributed Systems, Technical Leadership, Microservices, Typescript, Gcp, Rest Apis, Azure, Solution Architecture, Python, AWS, Tool Calling, CI CD, Context Engineering, Claude AI, Vector Databases, Enterprise AI Deployment, Multi-Agent Systems, semantic search, RAG, Prompt Engineering

Machine Learning, MLops, Azure, Summarization, Python, Entity Extraction, LLMops, NLP Techniques, Model Training, Arize, Fine-Tuning, Agentic AI, Classification, Langfuse, RAG Prompt Optimization, LLMOps Platforms

BigQuery, Python, Cloud Functions, GenAI APIs, Vertex AI, Google Kubernetes Engine

Git, Azure Functions, Python Programming, FastAPI, MongoDB, Kubernetes, agentic AI solutions, traditional AI algorithms, DevOps practices, AI development workflows, Redis Cache, vector databases, Jupyter Notebook, Relational Databases, ADLS, Azure services, CI CD pipelines, Generative AI LLMs

BigQuery, Python, Cloud Functions, GenAI APIs, Vertex AI, Google Kubernetes Engine

runway , Gcp, Azure, Python, AWS, LangChain, Veo, Speech TTS systems, CrewAI, vector search, LLMs, retrieval-augmented generation, Sora, diffusion-based audio models, GPT, Semantic Kernel, LangGraph, LoRA, Google ADK, Midjourney, Pika Labs, Runway ML, Stable Diffusion

Machine Learning, Nlp, Pytorch, Cloud Technology, MLops, Python, AWS, Generative AI, Prompt engineering, Distributed training pipelines, Langchain, scikit-learn, LLMOps, Ai, Guardrails, LangGraph, LLM evaluation methodologies, LLM Agentic workflows, LLM technologies, Voice Conversational AI, LlamaIndex, Transformer architectures

Nosql, Databricks, Sql, Python, RAG, Azure AI Search

Python, LangChain, AI Agents, Vector databases, LangFlow, AI memory frameworks, Agentic AI systems, Generative AI architectures, LangGraph, semantic search, Tool calling frameworks, Embedding models, MCP Server implementation, Function calling, Memory sharing architectures, RAG pipelines, Multi-agent orchestration

Tensorflow, Pytorch, Python, LangChain, Gen AI, Agentic AI, Azure AI Stack, AWS Gen AI