Google Cloud Platform (GCP), BigQuery, Terraform, Enterprise Infrastructure Security, VPC-SC, Vertex AI Studio, IAM governance, Infrastructure-as-Code, Model Garden

data engineering , Java, BigQuery, Google Cloud Platform, Data Management, Dataproc, Microservices, Cloud Storage, Devops, MLops, Agile, Data Governance, Python, online machine learning systems, event-driven systems, event streaming, Cloud Composer, Vertex AI, Data Flow, CI/CD

.NET, Java, Ml, Microservices, Sql, Nosql, Gcp, Distributed Systems, Azure, AWS, vector search, Ai, RAG, LLM orchestration, cloud-native services

Distributed Systems, AI-powered development tools, vector search, AI architecture patterns, privacy and security controls, data platforms, prompt and tool orchestration, evaluation approaches, retrieval systems, agentic workflows, responsible AI, Security, AI gateways, APIs integration, model risk, cloud AI platforms, production AI operations, LLM-based applications, AI governance, cloud-native solutions, observability, AI solutions

Google Cloud Platform (GCP), VPC Service Controls (VPC-SC), Infrastructure as Code (IaC), Cloud Security Architecture., Cloud Security, Vertex AI Studio, Vertex AI, Model Garden, BigQuery Integration, Enterprise Infrastructure Security, Infrastructure Automation, Enterprise Cloud Architecture

Kafka, API design, Grafana, Microservices, Python, AWS, Java, Redis, Gcp, Memcached, Dynatrace, Splunk, Azure, Airflow, data lake architectures, caching technologies, event streaming, observability tools, agentic systems, Temporal, responsible AI use, AI-assisted software development tools, LLM-based applications, orchestration frameworks, NoSQL databases, cloud-native engineering, vector stores, large-scale data processing, test-driven development, CI/CD

container orchestration (Kubernetes), caching (e.g. Redis), message queues (e.g. Kafka), Streams, Java, Distributed Systems, GenAI, indexing strategy, NoSQL databases, Go, applied ML, query optimizer behavior

Distributed Systems, decision systems, behavioral systems, large-scale data platforms, thresholds and decision policies, confidence calibration, agentic systems, Evaluation, large-scale inference, experimentation, multimodal AI, rollout and feedback loops, advertising quality systems, entity intelligence, model serving, observability

concurrency, Node.js, Microservices, Redis, Distributed Systems, Fault Tolerance, Kubernetes, AWS, idempotency, system design patterns, NoSQL databases, event-driven architectures, Go, asynchronous processing, Messaging, retries, Caching, rate limiting, CI/CD, cloud-native architectures, API architecture, graceful degradation

PostgreSQL, Numpy, Git, Pandas, Pytorch, Docker, FastAPI, Rest Apis, Python, Kubernetes, Anthropic Claude, LangChain, pgvector, scikit-learn, Qdrant, MLflow, Azure OpenAI, LangGraph, Ollama, Kubeflow, CI/CD