Marcelo Mussi
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I build AI products end-to-end — from agent design and RAG pipelines to production deployment. 18+ years of full-stack engineering is what lets me take LLMs from notebook to real users, at scale.

AI Product Architecture
How I design and ship AI products end-to-end — from LLM orchestration to production delivery.
AI & LLM Engineering
LangChain, LangGraph, OpenAI, Claude, RAG, pgvector
Agents, RAG pipelines, evals, guardrails
Backend
NestJS, Laravel, Node.js, Python
APIs, auth, queues, business logic
Frontend
Next.js, Angular, React, streaming UIs
Chat UIs, dashboards, design systems
Cache & Queues
Redis, Supervisor, Horizon
Session, cache, jobs, real-time events
Mobile Apps
Flutter, Dart, React Native
Cross-platform, store pipelines, OTA
CDN & Delivery
Cloudflare, S3, DO Spaces
Assets, WAF, edge caching, storage
Infrastructure
Terraform, Docker, GitHub Actions
IaC, CI/CD, zero-downtime deploys
What defines me
AI product delivery from agent design and RAG pipelines to production at scale.
LLM orchestration with LangChain and LangGraph — evals, guardrails, and observability built in.
RAG and knowledge systems that stay accurate, auditable, and cost-aware in production.
Full-stack backbone — ship the model, UI, API, and infra as one product.
Hands-on engineering that keeps code ownership and quality high.
Success Cases
Azakaw RegTech
Compliance Platform Delivery
- Leading development of a comprehensive RegTech compliance platform
- Built auth-service with JWT, MFA, and RBAC for regulatory compliance
- Next.js 16 frontend with Arabic and RTL support; end-to-end security (CSP, CVE management)
EnhanceFitness
Flutter Refactor at Scale
- Refactor and modernization of the EnhanceFitness mobile app in Flutter
- Multi-software integration handling millions of simultaneous requests
- Legacy app reborn with clean architecture and predictable releases
eduK
Flutter from Zero · Social Impact
- No mobile product at scale before the build
- Flutter app from zero with clear roadmap to production
- Mobile access for low-income students across Brazil
AI Engineering Guideline & Mindset
From agent design to production, I build AI products with clear architecture, rigorous evals, and full-stack delivery.
LLM & Agent Engineering
From prompt to production
LangChain and LangGraph orchestrations that reason, use tools, and stay reliable under real traffic.
- Multi-step agents, tool use, memory
- Evals, guardrails, and cost control
RAG & Knowledge Systems
Accurate, auditable answers
Retrieval-augmented generation with vector search, hybrid retrieval, and tight grounding on your data.
- pgvector, Pinecone, LlamaIndex
- Chunking, reranking, citation quality
Chatbots & Assistants
Conversational AI that ships
Production chat surfaces across WhatsApp, Telegram, and the web — with intent, context, and graceful fallbacks.
- Streaming UIs with Next.js
- Multi-tenant deployment & telemetry
AI-Ready Backends
APIs built for LLM traffic
NestJS and Laravel services tuned for streaming, long-running jobs, vector stores, and third-party LLM SLAs.
- Queues, retries, idempotency
- Observability and error tracking
Product UX for AI
Next.js frontends
Chat UIs, dashboards, and admin surfaces that make model behavior legible to users and operators.
- Streaming, tool calls, and state
- Design systems and component reuse
Ship to Production
Full-stack delivery
From Terraform to App Store — the backbone that turns AI features into shipped products.
- CI/CD, zero-downtime, observability
- Mobile (Flutter) when the product needs it
Technologies I master
AI & LLM Engineering
Web & Backend
Mobile
Data & Infra
Career path
5cfe9b9|Feb 2026 - PresentAzakaw
Senior Software Engineer
- Building internal AI systems for a RegTech platform, bringing LLM-powered automation into compliance workflows
- RAG architecture with LangChain, vector embeddings and ChromaDB for compliance document search, KYC analysis and policy retrieval
- Model selection and evaluation across hosted and self-hosted options (Claude, Llama, Groq), balancing accuracy, latency and data privacy requirements
- Building the backend platform and Python microservices that orchestrate retrieval, prompting and tool use behind clean internal APIs
0c62ab8|Oct 2008 - PresentProdev Developers
Founder
- Founded Prodev Developers, a consulting company focused on building AI-powered MVPs and platforms for startups and SMBs
- Building LLM features end-to-end: RAG with LangChain and vector embeddings, agent and tool-use workflows, prompt engineering and evaluation pipelines
- Helping clients choose the right AI architecture for their budget and data sensitivity, including self-hosted inference setups when privacy matters
- Backed by a full-stack foundation across TypeScript (Node.js, React, Next.js, React Native), PHP (Laravel), Flutter and SQL/NoSQL databases to ship complete products, not just prototypes
3aa5a8e|2023 - 2025Enhance
Head of Software Engineering
- Promoted from Senior Engineer to Head of Engineering in Jan 2025
- Led Flutter app architecture and scalable systems with Python, Django, NestJS, and Next.js
- Mentored engineering teams, fostering collaboration culture and continuous improvement
- Service Launch Engineering for client onboarding and global rollouts
02f6f55|2021 - 2024eduK
CTO
- Progression Tech Lead -> Tech Manager -> CTO in 2.5 years
- Led Flutter-first mobile delivery with React and NestJS for social impact solutions
- Platform scalability and stability, ensuring reliable operations
- Focus on sustainable and inclusive technological solutions
6d1c99e|2020 - 2021Zup Innovation
Tech Lead
- Led development of candidate validation program for developers
- Designed innovative technical and language evaluation method
- Significant improvement in tech recruitment process
acaf1fc|2018 - 2020Maquina do Bem
Tech Manager
- Managed all projects for World Vision Brazil
- Robust infrastructure and payment gateway systems with React, React Native, Node.js, and PHP
- Led second version of "Together for Children" with international scalability
2a2715d|2017 - 2018The Media Trade
Co-Founder & Tech Lead
- Co-founded The Media Trade, pioneering the first integrated Out-of-Home buyer system in Brazil
- Led the technology team to facilitate and democratize media buying processes
- Built and maintained scalable applications using Vue.js, React, PHP, Laravel, and MongoDB
43875ef|2014 - 2016Intoo
CTO
- Managed and evolved Brazil's first democratic receivables anticipation platform
- Developed core financial workflows and user experience
- Scalable solutions with React, TypeScript, PHP, MySQL, and MongoDB
41033f4|2012 - 2014Contele
Development Team Lead
- Progressed from Assistant Web Developer to Principal Developer and Team Lead
- Led delivery, code reviews, and scope definition across company projects
- Built solutions with PHP, jQuery, Android, and MySQL
What people say about me
I worked with Marcelo on extremely complex projects distributed across multiple countries. He combines deep technical expertise with strong business understanding, consistently delivering high-quality solutions even in the most challenging scenarios. His skills were essential for the successful execution and implementation of our projects. I highly recommend Marcelo.
Mussi is the type of person who digs deep to find the root cause and solve the problem. A complete professional — able to learn fast, fail fast, and grow fast. I saw him lead squads with mastery. I recommend him to companies that want to build and value technology as a potential to elevate dignity and the human being.
Marcelo is a born leader! Open to communication and always willing to share tips and growth opportunities for those who truly want to evolve. He makes a real difference in individual and team growth.
It's rare to find professionals like Marcelo in the market. I've had the pleasure of working with him for years and have always been amazed by his technical ability and task organization. He's a specialist at leading and organizing a technology team. Marcelo would be an asset to any team.
Education background
MBA in Mobile Development
Apps, IoT, ChatBots & Virtual Assistants
FIAP
2022 - 2023
Postgraduate in Flutter
Mobile Development
FETES
2022 - 2023
Systems Analysis
Computer Systems
UNIMONTE
2011 - 2013
Let's Build Intelligent Products
Available for AI product engagements, LLM integrations, and technical partnerships. I bring end-to-end ownership from agent design to production deployment.
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};AI Products & Agents
LLM-powered products, autonomous agents, and chatbots shipped end-to-end.
RAG & Knowledge Systems
Retrieval-augmented generation, vector search, and domain-tuned assistants grounded on your data.
LLM Integration
OpenAI, Claude, LangChain, and custom orchestration plugged into existing products.
Full-Stack AI Platforms
Next.js frontends, APIs, and infra that turn AI features into production-ready products.
Project-Based
End-to-end delivery with fixed scope
Team Extension
Embedded in your team as a senior resource
Technical Consulting
Architecture review, code audit, and strategy
Ready for the next AI build
Open to AI Engineer, LLM Product Engineer, or Senior Full-Stack roles shipping AI-powered products.
Email is the fastest way to reach me.