telemetry , MLops, Docker, Openshift, Python, Kubernetes, Logging, Infrastructure as Code, GitOps, Cloud-native systems, Operational analytics, Observability, Monitoring

Gcp, Distributed Systems, Azure, Python, AWS, Embeddings, Scalable AI architectures, Vector databases

Backend Development, system integration, Apis, Python, LLMs, workflow orchestration, RAG, event-driven architectures, AI evaluation, observability, prompt engineering

data warehouses , data engineering , snowflake , Orchestration, Pyspark, Cloud Technologies, Python, AWS, Sql, Gcp, quality assurance, Spark, Databricks, Azure, Etl, automation use cases, AI engineering, delivery governance, risk management, estimation planning, Data Lakes, data platforms, Lakehouse architectures, model integration, AI ML concepts, large-scale data processing, ELT pipelines, GenAI solutions, stakeholder reporting

.NET, .Net Core, , Rest Assured, Sql, SQL Server, Selenium, Rest Apis, Angular, Integration Testing, Software Testing, Postman, Etl Testing, Api Testing, Database Migration, PostgreSQL, GenAI, Playwright, Cypress, Test Automation Frameworks, Karate, end-to-end testing, Agile Delivery Models

tokenization , Java, Soap, Json, Api Testing, Jenkins, REST, Xml, Selenium, embeddings, Generative AI, vector databases, GitHub Actions, Agentic AI, Context Window Management, Object-Oriented Programming, Prompt Engineering, semantic search, Large Language Models

.NET, Test Automation, Java, C#, Data structures, Build Automation, Oop, Jenkins, Algorithms, Docker, Terraform, Selenium, AI Agents, Playwright, DevOps practices, MCP Servers, RAG