Technical leadership with an execution mindset.
I design and build production-ready solutions inAI systems.
I'm Matías Parodi. I have over ten years of experience designing backend architectures, leading engineering teams, and building scalable software. My work isn't about making flashy AI demos; it's about turning language models, RAG systems, and intelligent agents into real, reliable, and maintainable products that solve concrete business problems.
10+ YEARS IN BACKEND & SOFTWARE
Solid foundation in system architecture, data integration, and cloud platforms.
PRODUCTION-READY AI
Deploying RAG and agentic workflows focused on stability, latency, and costs.
TECHNICAL LEADERSHIP & JUDGMENT
Pragmatic approach to translating complex business challenges into executable software.
Services
Three ways I help teams move forward with AI
A focused selection of high-value services for teams building applied AI, not a generic catalog.
AI Systems & Agents
End-to-end design and delivery of AI systems that transition from flashy demos to stable production environments.
- Agentic workflow design & orchestration
- Integration with custom APIs & external tools
- Security guardrails, evaluation & observability
RAG & Knowledge Assistants
Retrieval-augmented assistants connected to internal company knowledge, eliminating generic responses and hallucinations.
- Data ingestion, chunking & vector strategy
- Hybrid retrieval & re-ranking
- Access control & answer quality evaluation
AI-Assisted Workflows
AI-assisted workflows that eliminate repetitive manual tasks while maintaining strict operational control.
- Document processing & data classification
- Asynchronous API orchestration
- Human-in-the-loop validation safeguards
Experience
Experience that translates into delivery confidence
Grounded technical decision-making, clean architecture, and hype-free execution.
10+ years building software across product, backend, and cloud.
Tech Lead experience balancing delivery speed, architecture, and team execution.
Focus on applied AI with real-world production constraints, not isolated demos.
Strong backend and systems foundation to support scalable AI integrations.
RAG Systems & Knowledge
Internal Knowledge Assistant on RAG Architecture
Design and deployment of a RAG system for real-time document retrieval with strict context control and low latency.
Role: AI Engineer & Software Architect
Result: 60% reduction in search time with fully verifiable source attribution
Platform Engineering
Internal Observability Rollout
Incremental observability rollout focused on reducing incident response time.
Role: Technical lead
Result: Faster root-cause discovery during incidents
Backend Modernization
Legacy API Stabilization
Architectural redesign and refactoring program for a mission-critical legacy API under high active traffic.
Role: Software Architect & Tech Lead
Result: Reduced performance bottlenecks and made deployments safer and more predictable, lowering operational risk and shortening interruption windows.
About me
Over a decade building software. Now, making AI work in real-world systems.
I started my career in traditional software engineering, backend architecture, and technical team leadership. For over ten years, my core focus has been ensuring systems scale gracefully, data flows securely, and digital products deliver measurable value. Transitioning into Applied Artificial Intelligence was not a career pivot, but a natural evolution. Today, I specialize in connecting LLMs, RAG architectures, and agentic workflows with existing enterprise infrastructure, ensuring observability, cost control, and hallucination guardrails. I combine technical consulting and software development with teaching in master's programs, which keeps me constantly updated on cutting-edge techniques while keeping a pragmatic eye on what actually works in production.
PROBLEM FIRST, MODEL SECOND Not every challenge requires a complex agent. I evaluate technical feasibility, latency, and operational costs before writing a single line of code.
ARCHITECTURE YOUR TEAM CAN MAINTAIN I avoid black boxes and brittle prototypes. I deliver clean code, production standards, clear documentation, and seamless handoffs to internal teams.
ENGINEERING RIGOR FROM DAY ONE Security guardrails, continuous output evaluation, observability, and performance optimization are baked in right from the design phase.
Contact
If you're defining an AI initiative, let's bring technical clarity to it.
Share your project context and constraints through the contact form, or schedule an initial call to align on scope and feasibility.