data engineering , containerization , Machine Learning, Cloud Architecture, Big Data, Api Development, Microservices, DevOps Practices, Model Deployment, Security Protocols

.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization

Google Cloud Platform, Tensorflow, Pytorch, Docker, Terraform, Openshift, Kubernetes, Python, GKE, Feature Store, Anthos, Model Registry, Vertex AI Pipelines, Vertex AI, Prediction services

twilio , Webrtc, ASR, ElevenLabs, Azure Speech, ML speech engineering, Exotel, Llm, Whisper, dialogue manager, TTS, Telephony, performance optimization, NLU, SIP, Deepgram, Ozonetel, Coqui

Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, OpenAI GPT-3.5, Copilot

Distributed Systems, Devops Tools, Kubernetes, data pipelines, AI evaluation frameworks, vector databases, governance frameworks, prompt engineering, MLOps practices, microservices architecture, enterprise AI platforms, CI CD pipelines, large-scale deployments, Responsible AI, AI ML systems

Data Architecture, Encryption, Typescript, Javascript, Python, AWS, Gcp, Data Privacy, Azure, Meta, metadata standards, RAG and knowledge systems, Responsible AI frameworks, Security, bias mitigation, AI reference architectures, cloud-native systems, Google, explainability, workflow orchestration, fairness, taxonomies, Anthropic, secure connectivity, AI architecture, Compliance, semantic caching, CI CD pipelines, end-to-end observability, OpenAI, RAG multi-agent systems

Machine Learning, Microservices, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, AWS, Gcp, MLops, Databricks, Azure, Kubernetes, Computer Vision, AWS Bedrock, MLflow, Scikit-Learn, LangGraph, Vector Databases, Vertex AI, model lifecycle management, LangChain, Generative AI, AI governance frameworks, LLMOps, OpenAI, distributed architectures

Machine Learning, Azure Data Factory, Tensorflow, Azure Machine Learning, MLops, Azure Databricks, Pytorch, Kubernetes, Python, Azure Synapse, Docker, Azure DevOps, MLflow, Microsoft Fabric, Scikit-learn, Cognitive Services, LLMOps, Azure OpenAI, Azure AI

Python, AI/ML, GenAI, Azure/AWS