Patrick Dos Santos

Built Lampi AI from first commit to production as Co-Founder & CTO: an enterprise-grade, privacy-first agentic AI platform for high-end customers with complex automation, security and scale requirements.

Designed and implemented the core platform in-house: custom agent runtime, autonomous loop, multi-agent orchestration, agent-as-a-tool execution, reusable harnesses, sandboxed execution, workflow blueprints, grid

execution, task infrastructure, AI slide engine, observability and Python SDK.

The platform is not a basic RAG app, chatbot or thin LLM wrapper. It is a custom agentic system where agents reason, call specialized tools, inspect context, update and create files, generate artifacts, run

scripts, use APIs, process documents, coordinate with other agents and continue through controlled execution loops.

Built secure sandboxes for agent runs and tools, enabling isolated file operations, script execution, document generation, code/workspace edits, experimentation and customer-specific automation inside enterprise

boundaries.

Built the full stack: Python/FastAPI services, Next.js/React frontend, document processing, transcription, API layers, auth/admin systems and enterprise features.

Developed AI capabilities for private knowledge work, document analysis, extraction, summarization, multilingual notes, automated transcription, record keeping, workflow automation and secure AI Copilot

experiences.

Engineered high-fidelity AI-generated slide workflows with layout-aware rendering, template control, versioning, exports and pixel-precise frontend interactions.

Implemented production infrastructure with Docker/Kubernetes, Redis execution state, ClickHouse archival and analytics, Prometheus/Grafana monitoring, tracing, tests and release automation.

Led technical strategy, architecture, infrastructure, product engineering, privacy-first design and production reliability for high-barrier AI systems.

Led the development and implementation of a blockchain-based platform that incorporates AI to optimize supply chain processes and reducing costs

Developed a scalable and secure platform using Solidity and Web3, which allowed for efficient and secure data transactions.

Designed and implemented a data analytics system using Redis and PostgreSQL that enabled real-time data analysis and informed decision-making.

Established partnerships with external WEB3 vendors, to integrate cutting-edge technologies and improve the platform's functionality.

Created an on-chain escrow service and implemented an autoswap mechanism to support all tokens, ensuring secure and seamless transactions.

Developed an AI-powered chatbot that provided personalized recommendations to users.

Implemented the chatbot using NextJS and FastAPI, creating a scalable and responsive user interface.

Developed a machine learning algorithm that analyzed user data to provide accurate and relevant recommendations.

Designed and implemented a CDN to ensure high availability and image resizing on the fly to speed up the page loading.

Senior technical reference and feature owner for complex Scality product capabilities, with a strong focus on customer-driven product evolution.

Owned technical projects end-to-end: customer need analysis, solution design, architecture, implementation, testing, deployment and production follow-up.

Acted as a technical escalation point for difficult customer situations, investigating complex issues, identifying product gaps, inventing pragmatic solutions and implementing them when needed.

Worked directly with customers, support, sales engineering, product management, QA and engineering teams to ensure the product met real-world integration, reliability and performance expectations.

Drove product improvements by transforming recurring customer pain points into new features, better workflows and stronger technical capabilities.

Provided deep product expertise across the organization, helping teams understand architecture, edge cases, system behavior and customer impact.

Mentored engineers through code reviews, design reviews, debugging sessions, technical guidance and knowledge sharing.