About Me
Senior AI Engineer with 6+ years of software engineering experience, now building autonomous AI agents and production LLM systems
Cristopher Coronado
Senior AI Engineer · Agentic AI & LLM Systems
Quick Stats
Professional Summary
Senior AI Engineer focused on agentic AI and production LLM systems. Right now I build founder autonomous agents at a US startup, working on agent orchestration, prompt pipelines, and guardrails in Python. Before that I built MCP servers for the Inter-American Development Bank and RAG pipelines for a bank. Microsoft MVP (AI) and AWS Community Builder, with 6+ years of .NET microservices behind it.
At Feltsense, a US startup building founder autonomous agents, I work on the production AI backend in Python: agent orchestration, prompt pipelines, and guardrails that keep agentic workflows reliable. Before this I built MCP servers and agentic systems for the Inter-American Development Bank, and earlier architected the RAG pipeline that cut time-to-answer by 85% for 200+ banking engineers. The 6+ years I spent building .NET microservices and event-driven systems for Banking and Energy are what I lean on for AI work.
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, using my .NET backend background to make them reliable and scalable.
Focus Areas: agentic AI systems, RAG pipelines, agent orchestration, and connecting LLM capabilities to solid backend systems.
Core Competencies
AI & LLM Engineering
- • Autonomous Agents & Agent Orchestration
- • Anthropic Claude API & Azure OpenAI (GPT-4o)
- • MCP Servers & Agentic Workflows
- • RAG Pipelines (LangGraph, LangChain)
- • Prompt Engineering, Guardrails & 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
Feltsense
Remote · US Startup • Full-time
Production AI backend services for a US startup creating founder autonomous agents, AI systems that act on behalf of founders. My work centers on reliable agentic workflows, LLM orchestration, and structured outputs across the platform.
Key Responsibilities:
- • Built production AI backend services in Python, integrating LLM APIs and agent orchestration logic to enable reliable agentic workflows and structured AI capabilities across the platform
- • Engineered prompt engineering strategies and structured-output pipelines with reusable prompt templates and output validators, ensuring consistency and reliability of AI-generated responses in production
- • Managed AI data flows, vector embeddings, and storage by integrating vector databases and embedding pipelines into backend infrastructure, supporting semantic search and context-aware AI features
- • Monitored AI behavior, latency, and cost usage through observability tooling and logging pipelines, maintaining performance standards and cost efficiency across LLM-powered services
- • Improved reliability and safety of AI outputs by implementing validation layers, guardrails, and failure-mode analysis, reducing error rates and ensuring consistent model behavior in production
Key Achievements:
- • Shipped production agentic workflows with structured-output validation and guardrails, improving the reliability of AI-generated responses
- • Established observability and cost-monitoring practices for LLM-powered services, sustaining performance and efficiency in production
Senior AI Engineer
Kronia Technologies
Quito, Ecuador • Full-time
Built 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 sub-400ms 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
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 2025
Azure AI Engineer Associate
Microsoft
Jan 2025
Azure Data Scientist Associate
Microsoft
Feb 2026
AWS Certified Cloud Practitioner
AWS
Nov 2023