Tensorflow, Pytorch, Python, LangChain, AutoGen, LangGraph, fine-tuning, deep learning frameworks, prompt engineering

Oauth, Vue, Microservices, Okta, Angular, React, Docker, Azure Ad, Kubernetes, Python, LangChain, model governance, vector database design and optimization, open-source LLMs, cloud deployment patterns, Pinecone, LangGraph, Microsoft Copilot, Milvus, ChromaDB, Weaviate, observability

Git, Rest Apis, Python, LangGraph, Vector Databases, Agentic AI, Azure AI Foundry, Microsoft Copilot Studio

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

Python, AWS Bedrock, data pipelines, AI coding assistants, AWS serverless architecture, generative models, vector search, RAG, vector database, version control Git, Azure OpenAI, GitHub Copilot

Sql, Pytorch, Tensorflow, Python, Pyspark, vector databases, document chunking strategies, Hugging Face Transformers, Microsoft Azure OpenAI, Generative AI Frameworks, Amazon Bedrock

Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs

Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines