Pyspark, Cloud Infra, Pytorch, Batch, Terraform, Python, Aws Lambda, MLops, Spark, FastAPI, AWS Bedrock, Polars, Hugging Face, Data ML, EventBridge, OpenSearch, LangGraph, Pydantic, LLM orchestration, LangChain, Parquet, PGvector, Vector DBs, RAG fine-tuning, Iceberg Delta Tables, SageMaker, Glue

Java, C, Unit Testing, software testing, Kotlin, Mobile App Development, Code, Javascript, Python, Codex, LLM application development, Claude, integration test design, Matter, AI Agent frameworks, Google Antigravity, RAG, Android device communication technologies

secure sdlc , Automated Testing, Containers, Devops, Python development, Kubernetes, Infrastructure as Code, Generative AI, Event-driven architecture, Agentic AI frameworks, AI Governance, Model Evaluation, SRE Principles, Microservices architecture, Cloud-native architectures, Modern software engineering practices, Vector Databases, AI Agents and Multi-Agent Systems, Responsible AI, Prompt Engineering

Devops, Gcp, Distributed Systems, Containers, Azure, Kubernetes, AWS, risk management, Generative AI, LLMs, observability practices, AI application architectures, event-driven systems, security governance, high-availability design principles, Compliance, Security, AI agents, cloud-native architectures, AI ML systems

Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms

Java, Cloud Services, Apis, Scala, Automated Testing, Design Patterns, Python, AI-powered development tools, data platforms, Go, software engineering fundamentals, code quality, ML-powered product capabilities, object-oriented design, AI-enabled engineering workflows

Machine Learning, Network Security, Soc, Hipaa, Python, Oltp