About Me
Senior AI Engineer with 6+ years of software engineering experience, now focused on AI/LLM integration
Cristopher Coronado
Senior AI Engineer
Quick Stats
Professional Summary
Senior AI Engineer combining 6+ years of .NET backend and microservices experience with hands-on AI/LLM integration. Currently designing enterprise AI platforms with Azure OpenAI, RAG pipelines, and Microsoft Agent Framework. Microsoft MVP (AI) and AWS Community Builder.
With 6+ years building .NET microservices and event-driven systems for Banking and Energy industries, I bring a strong backend foundation to AI engineering. At my current role, I design enterprise AI platform architectures with Azure OpenAI and Microsoft Agent Framework. Previously, I architected RAG pipelines that reduced time-to-answer by 85% for 200+ banking engineers.
I hold a M.S. in Artificial Intelligence and combine academic foundations with practical LLM integration experience. As a Microsoft MVP (AI) and AWS Community Builder, I contribute to the developer community through technical articles, open-source AI projects, and knowledge sharing.
Professional Goals
Seeking: Senior AI Engineer and AI Architect roles where I can design and build production AI systems, leveraging my enterprise .NET backend expertise to deliver reliable, scalable AI solutions.
Focus Areas: Enterprise AI platform architecture, RAG pipelines, AI agent orchestration, and bridging the gap between LLM capabilities and production-grade backend systems.
Core Competencies
AI & LLM Engineering
- • Azure OpenAI (GPT-4/GPT-4o)
- • RAG Pipelines (LangGraph, LangChain)
- • AI Agent Infrastructure (MCP Servers)
- • Azure Document Intelligence & AI Search
- • Prompt Engineering & Vector Embeddings
Backend & Architecture
- • .NET Core (6+ years)
- • Microservices & Event-Driven Architecture
- • Clean Architecture, CQRS, DDD
- • RESTful APIs & gRPC
- • Python (FastAPI, Flask) for AI prototypes
Cloud & Infrastructure
- • Azure (Functions, Service Bus, AKS, Cosmos DB)
- • AWS (Lambda, S3, Batch)
- • Docker & Kubernetes
- • CI/CD (Azure DevOps, GitHub Actions)
- • Infrastructure as Code (Terraform)
Quality & Collaboration
- • TDD (95% coverage with xUnit)
- • OAuth2/OIDC, mTLS, Microsoft Entra ID
- • Code Review & Engineering Mentoring
- • Cross-functional Team Collaboration
- • Technical Interviewing
Professional Experience
Senior AI Engineer
Kronia Technologies
Quito, Ecuador • Full-time
Building enterprise AI agent systems with custom MCP servers for the Inter-American Development Bank (IDB), focusing on secure AI infrastructure, LLM orchestration, and governance standards across distributed teams.
Key Responsibilities:
- • Architected AI agent-based systems with custom MCP servers integrated into Copilot Studio and Azure Foundry, enabling enterprise AI operations across distributed teams
- • Engineered production OAuth2 security for MCP Servers with Microsoft Entra ID, token exchange patterns, and role-based access control, securing AI agent operations in a regulated environment
- • Integrated vector databases (Azure AI Search, PostgreSQL) with LLM orchestration using LangGraph and OpenAI, enabling semantic search across multilingual document repositories
- • Designed reusable AI Core Services (reference models, configuration standards, observability with Datadog) accelerating AI adoption across multiple IDB teams
Key Achievements:
- • Established organization-wide AI governance standards supporting scalable AI strategy
- • Accelerated secure AI service deployment across teams through standardized configuration patterns
Senior Software Engineer (AI Integration)
Devsu
Quito, Ecuador • Full-time
Developed .NET microservices and Angular microfrontends for a banking platform under BIAN-aligned architecture, with significant focus on AI integration including RAG pipelines and Azure OpenAI prototyping.
Key Responsibilities:
- • Architected RAG pipeline with LangGraph, Azure OpenAI (GPT-4), and Document Intelligence for banking knowledge base
- • Implemented vector search with Azure AI Search and Cosmos DB for chat history with configurable chunking strategies
- • Built AI backend prototype with Python FastAPI for LangGraph workflows and OpenAI Vision for multimodal document analysis
- • Developed .NET microservices under BIAN architecture implementing Clean Architecture + CQRS
- • Built event-driven loan processing with Azure Functions and Service Bus with idempotent operations
- • Implemented mTLS via Azure Key Vault for secure inter-service gRPC communication
- • Enforced OAuth2/OIDC with MFA via Microsoft Entra ID achieving ISO 27001 compliance
- • Mentored 2 engineers via code reviews and pair programming, improving code quality and delivery speed
Key Achievements:
- • Reduced time-to-answer by 85% (10-15 min → 1-2 min) for 200+ banking engineers through RAG pipeline
- • Achieved 35ms average API response times across .NET microservices
- • Increased event processing throughput by 35% while ensuring banking security standards compliance
Semi Senior Software Engineer
WebCreek
Quito, Ecuador • Full-time
Developed Angular dashboards and .NET APIs for RigCloud, a drilling operations platform serving 500+ engineers daily across 70+ rigs worldwide.
Key Responsibilities:
- • Developed Angular dashboards and statistical widgets with Plotly.js, consuming .NET APIs to visualize drilling KPIs
- • Built RigCloud dashboards combining real-time and historical drilling data
- • Enhanced live visualization by integrating Azure SignalR into Angular dashboards
- • Designed Angular maps with Google Maps API to visualize well locations
- • Guided front-end and API integration efforts across multiple Angular modules
- • Optimized backend performance by remodeling SQL queries (Entity Framework Core and Dapper) and adding Azure Redis caching
- • Integrated Azure Service Bus for event-driven flows between drilling telemetry and .NET APIs
- • Secured RESTful APIs through Azure API Management with OAuth2 authentication and OpenAPI documentation
- • Deployed scalable .NET APIs and Angular apps to Azure Kubernetes Service (AKS) using Helm/manifests and CI/CD pipelines
- • Maintained 10+ Apache Airflow DAGs synchronizing 10k+ PostgreSQL records daily
- • Applied design patterns (Repository, Factory, Mediator, Strategy) and Clean Architecture in .NET APIs
- • Strengthened observability by implementing centralized logging (Azure Monitor, Application Insights)
- • Increased reliability by implementing Unit, Integration, and Functional Tests in .NET APIs with xUnit and Test Containers
- • Extended test coverage to 85% by implementing end-to-end automation with Selenium for Angular and PrimeNG modules
- • Streamlined deployments with CI/CD pipelines in Azure DevOps
Key Achievements:
- • Reduced analysis time from minutes to seconds for engineers through optimized dashboards serving 500+ daily users
- • Reduced response times by 35% for analytics dashboards serving 5k+ MAUs through query optimization and caching
- • Reduced downtime incidents by 70% through AKS deployment and CI/CD automation
Software Engineer
Bayteq
Quito, Ecuador • Full-time
Developed logistics and inventory management solutions using Angular and .NET, focusing on real-time communication and performance optimization.
Key Responsibilities:
- • Streamlined Oracle stored procedures to accelerate data retrieval for over 5k users
- • Enforced SignalR in .NET Core for real-time communication among remote users
- • Contributed to modernization of legacy SOAP/WCF services in .NET Framework by supporting migration to RESTful APIs
- • Applied Angular lazy loading to optimize web application performance
Key Achievements:
- • Enhanced UX for over 5k users by optimizing Oracle queries across 50k+ records
- • Minimized information latency by 25% in logistics through SignalR real-time communication
- • Cut web application page load times by 30%, validated by enhanced Google PageSpeed Insights scores
Software Engineer
Descomplícate
Ibarra, Ecuador • Full-time
Developed mobile ordering application for restaurant and delivery service using Ionic framework with Node.js backend.
Key Responsibilities:
- • Developed mobile ordering app with Ionic framework
- • Implemented WebSockets in Node.js for real-time updates
- • Integrated push notifications using One Signal
- • Embedded Google Maps for real-time route visualization and ETA updates
Key Achievements:
- • Reduced order processing time by 50% for over 500 users
- • Augmented system reliability for high-demand periods by 40% through WebSockets implementation
- • Increased user engagement by 25% through push notifications, leading to higher app retention
Education
Master's Degree in Artificial Intelligence
Artificial Intelligence
Universidad Internacional de la Rioja
Specialized in machine learning, deep learning, natural language processing, and computer vision. Completed capstone project on predictive analytics for business intelligence.
Bachelor's Degree in Computer Science
Computer Science
Universidad Técnica del Norte
Comprehensive computer science education covering software engineering, algorithms, data structures, databases, and web development. Graduated with honors.
Featured Certifications & Awards
View All →Microsoft MVP - AI
Microsoft
Jun 2024
AWS Community Builder
Amazon Web Services
Mar 2022
Azure Developer Associate
Microsoft
Dec 2024
Azure AI Engineer Associate
Microsoft
Jan 2025
Azure Data Scientist Associate
Microsoft
Feb 2025
AWS Certified Cloud Practitioner
AWS
Nov 2023