.NET, Google Cloud Platform (GCP), containerization , Java, Apis, Microservices, Devops, Azure, Kubernetes, AWS, Generative AI, Presales solution consulting, Estimations, Ai, Copilot, Modern software development practices, Solution proposals, Architecture artifacts, Agentic AI, Cloud-native solutions, CI/CD, Technical bid management

Enterprise Architecture, Distributed Systems, Apis, Containers, Microservices, Openshift, Solution Architecture, Kubernetes, Event-Driven Architecture, DevOps practices, Security Architecture, CI/CD pipelines, Integration Patterns

snowflake , Github, React, Azure Functions, Docker, Systems Integration, Data Warehousing, MongoDB, FastAPI, Rest Apis, Azure, Kubernetes, Azure DevOps, reporting schemas, data pipelines, semantic layers, Canonical ERDs, CI CD, KPI reporting, analytical data models, Service Bus, feature engineering

Deep Learning, Nlp, Python, Ml, Predictive Modelling, Unsupervised Learning, MLops, multi-agent architectures, supervised learning, agent memory context, agent routing, LangGraph, Evaluation, OpenAI Agents SDK, OpenAI APIs, guardrails, observability, LangChain, Generative AI, tool function calling, Ai, human-in-the-loop, Anthropic, recommendation systems, Agentic AI, handoffs, RAG, agent orchestration

architectural patterns , Kafka, Redis, Docker, Elasticsearch, FastAPI, Kubernetes, Python, LangChain, Generative AI, LLMs, RAG systems, LLMOps, Pinecone, microservices design, LangGraph, Chroma, Weaviate

data warehouses , Machine Learning, Data Governance, RAG embeddings, Generative AI, data quality frameworks, cloud platforms, vector databases, data and analytics, semantic retrieval, enterprise application development, prompt engineering, full-stack technologies, Agentic AI, LLM-powered applications, Optimization Techniques, Statistical Modeling, reranking, modern data platforms, AI evaluation, time-series analysis, AI solutions