AI ML, Python, Sql, Api Testing, GenAI, LLMs, RAG vector databases, non-deterministic AI behavior, QA Automation Testing

data engineering , snowflake , secure coding , Java, Apis, Automated Testing, Software Architecture, Cybersecurity, Microservices, Software Engineering, DevSecOps, Application Development, Databricks, Azure, Enterprise Integration, Python, AWS, Cloud-native Engineering, Agile Delivery, AI ML Engineering, AI Engineering, Production Support, Observability

react.js , AWS, Angular, Node.js, Vue.JS, Kubernetes, Python, Docker, Api Development, AI technologies, SageMaker, Azure AI, Generative AI

Java, Aws Services, MLops, Docker, FastAPI, Kubernetes, Python, GenAI, model fine-tuning, knowledge graphs, multi-agent orchestration, policy engines, AI safety guardrails, Go, vector databases, LLM applications, agentic AI systems, AI security frameworks, distributed systems architecture, responsible AI practices, RAG architectures

business case development , Machine Learning, Digital Transformation, Agile, Scrum, Data Analytics, Generative AI, Safe, Vendor Management, Executive Communication, Product Roadmap Strategy, Risk Governance Management, AI Product Management, Stakeholder Client Management

data quality assurance , object storage , Kafka, Azure DevOps, Azure, Jenkins, Spark, AWS Bedrock, Feast, distributed query engines, OpenAI, Amazon Deequ, Data Architecture for AI, cloud native ETL, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, data lakehouses, LangGraph, GitHub Actions, ELT frameworks, platform integration, Vertex AI, Great Expectations, Google ADK, Evidently, AutoGen

Ml, Nlp, Rpa, Python, Generative AI, LLMs, Chatbots, Ai, Gen AI models, GPT