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Implements comprehensive monitoring, distributed tracing, and performance visualization for Istio, Linkerd, and OpenTelemetry architectures.
Automates database schema and data migrations across multiple ORMs while ensuring zero-downtime and robust rollback procedures.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning, chain-of-thought, and modular templates.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and systematic benchmarking.
Implements efficient similarity search and vector database patterns for semantic retrieval and RAG systems.
Optimizes embedding model selection and chunking strategies for semantic search and Retrieval-Augmented Generation (RAG) applications.
Architects sophisticated LLM applications using LangChain's modular framework for agents, memory, and complex workflows.
Implements robust data validation using Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
Builds production-grade mobile applications using Expo, React Native, and robust architectural patterns.
Generates comprehensive, blameless postmortem documents and root cause analyses to drive organizational learning and prevent incident recurrence.
Streamlines the testing of Temporal workflows in Python using pytest, time-skipping, and determinism validation strategies.
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle tuning strategies.
Guides the implementation of modern React state patterns using Redux Toolkit, Zustand, Jotai, and TanStack Query.
Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.
Designs and implements robust event stores for event-sourced systems using various database backends and architectural patterns.
Generates production-ready incident response runbooks and structured procedures for service outages and database failures.
Implements durable, distributed workflows using Temporal to manage complex microservice orchestration and long-running processes.
Implements production-ready dbt patterns for scalable data modeling, automated testing, and analytics engineering workflows.
Design and implement scalable distributed systems using proven microservices patterns for communication, data management, and resilience.
Implements saga patterns for distributed transactions and cross-aggregate workflows in microservices environments.
Streamlines on-call shift transitions by providing standardized templates and procedures for context transfer, incident tracking, and escalation.
Implements modern Next.js 14+ architectural patterns including Server Components, streaming, and full-stack React capabilities.
Builds production-grade Apache Airflow workflows using best-practice design patterns for task orchestration and data pipelines.
Implements Command Query Responsibility Segregation (CQRS) patterns to build scalable, high-performance backend architectures.
Implements industry-standard backend patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for maintainable systems.
Masters REST and GraphQL design patterns to build scalable, intuitive, and developer-friendly backend architectures.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.
Builds high-performance read models and materialized views from event streams for event-sourced architectures.
Transforms legacy JavaScript into modern, clean, and efficient ES6+ code using functional programming patterns and asynchronous best practices.
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