Claudio Teixeira
///Expertise & CV

Shipping AIsince before
it was cool.

20+ production AI/ML systems. Conversational coaches, personalized learning paths, skills-mapping engines, predictive analytics, agentic cybersecurity SaaS. Modern LLM stacks, RAG architectures, MLOps — and still writing code daily.

Core Competencies
Agentic AI Systems
LLM Architecture & RAG
AI Team Leadership
Multi-Agent Orchestration
MLOps & Evaluation
LLM Fine-Tuning (LoRA/QLoRA)
Python · FastAPI
TypeScript · Node.js
Azure OpenAI · Anthropic
Kubernetes · Docker
///Professional Experience
Lead AI Engineer & Agentic AI Architect
RootedLogic.AI
Dec 2025 — Present
  • Owned end-to-end architecture and delivery of an agentic CyberSecurity SaaS orchestrating a synthetic workforce of autonomous agents across the SDLC.
  • Agentic System Design: multi-agent workflows (SmolAgents / CrewAI) with tool-use, persistent memory, policy guardrails — code generation, review, testing, security analysis.
  • Human-in-the-Loop Governance: evaluation harnesses, approval gates, full auditability, and safety controls for AI-generated outputs.
  • Created a proprietary Agentic AI Cybersecurity Attestation Framework integrating automated SAST and DAST — now a core product differentiator.
  • Shipped a complete AI-native SaaS from idea to production in 3 months as both product co-owner and lead engineer.
CTO / Partner (Hands-on Technical Leader)
ALTAR.io
Jan 2019 — Oct 2025
  • Scaled and led multidisciplinary AI/ML teams of up to 30 ICs — 85% first-year retention, 12 promotions to senior/staff.
  • EduTech & Learning AI: adaptive learning platforms with personalized learning paths, AI-driven roleplay coaching agents (real-time voice + LLM), automated curriculum generation.
  • Conversational AI & Copilots: enterprise copilots using LangChain, LangGraph, Semantic Kernel, Azure OpenAI, fine-tuned SLMs (Gemma, Mistral) via LoRA/QLoRA — reducing manual processing by up to 75%.
  • Predictive Analytics: ML systems for performance prediction, churn modeling, and skills mapping using Python, scikit-learn, and modern MLOps pipelines.
  • Platform & MLOps: migrated monolith to microservices on Kubernetes; CI/CD, model versioning, A/B testing, prompt registries, drift monitoring — 1M+ MAU at sub-200ms latency.
  • Governance & Ethics: AI governance frameworks covering data privacy, model explainability, guardrails, and responsible deployment.
Technical Engineering Manager / Principal Engineer
Beboc UK
Jan 2018 — Jan 2019
  • Architected high-availability, multi-tenant B2B booking platform from greenfield to production, leading a team of 10 engineers.
  • Established the company's first modern DevOps practice on Kubernetes with full observability, CI/CD, and FinOps discipline.
  • Platform shipped years ago, still in active production and growing into 2026.
CTO / Head of Engineering
Bannerwise
Oct 2017 — Oct 2018
  • Founded and led a 7-person engineering team to ship an AdTech SaaS from scratch.
  • Architected a scalable Node.js + serverless microservices stack handling millions of daily impressions.
  • Built a sophisticated browser-based WYSIWYG editor (Figma-like) enabling marketers to programmatically generate creatives at scale.
Head of Engineering
FSB Technology (UK) Ltd
Jan 2014 — Sep 2017
  • Built the engineering organization from the ground up, scaling from 2 to 90+ professionals across multiple disciplines.
  • Delivered 40+ live whitelabel platforms for sportsbook and casino operators with strict regulatory and compliance requirements.
  • Led engineering through a major M&A process — technical due diligence, architectural transparency, team continuity.
///Notable Projects
EduTech / Sales Enablement
Bravano
VP of Engineering · Team: 6

Gamified training and coaching platform with real-time AI-driven interactive class simulations (roleplay coaching agents) and automated, hyper-personalized curriculum generation.

TypeScript · Python · LangChain · Real-time Voice AI · Azure OpenAI · React
HR Tech / Microsoft Teams
CareerMate
Lead AI Engineer · Team: 4

Microsoft Teams conversational agent that proactively engages employees at calibrated intervals to coach them through their daily work and guide long-term career development.

LangGraph · LlamaIndex · PostgreSQL · pgvector · Python · Microsoft Teams Bot Framework
Enterprise AI / Knowledge Systems
PAIR
Principal AI Engineer / Team Lead · Team: 8

Multi-tenant platform for semantic search, automated knowledge extraction, and high-volume summarization — featuring hybrid search, RBAC governance, semantic caching, and intelligent routing.

Python · LangChain · LlamaIndex · Weaviate · Pinecone · Azure OpenAI · GCP
AI Governance & Responsible AI
Humane Intelligence
Principal AI Engineer · Team: 7

Gamified platform for collaborative LLM red-teaming, vulnerability assessment, and ethical AI alignment — directly relevant to AI governance, explainability, and responsible deployment.

Python · MS AutoGen · LangChain · Explainable AI (XAI) · LLM Guardrails
SalesTech / Internal Tools
RGP Agentic Workflow System
Technical Engineering Manager · Team: 4

Autonomous agentic workflow system for dynamic prospect filtering, automated outreach, and intelligent data labeling via multi-agent orchestration.

TypeScript · Python · LangGraph · LlamaIndex · Weaviate · Kubernetes
///Technical Skills
Generative AI, NLP & Agentic Systems
LLMs (OpenAI, Azure OpenAI, Anthropic Claude, Llama, Mistral)LangChainLangGraphSemantic KernelLlamaIndexCrewAIConversational AICoaching Agents & AI CopilotsRAGGraphRAGHybrid Search & Knowledge GroundingVector Databases (Pinecone, Weaviate, Milvus, ChromaDB)Fine-Tuning (LoRA, QLoRA, PEFT) on Gemma/MistralPrompt EngineeringChainsTool Use & Function CallingLLM Evaluation & Observability (LangSmith, RAGAS, Langfuse)GuardrailsPrompt-Injection Defense & Responsible AI
AI Leadership & Delivery
Leading multidisciplinary AI/ML/Data Science teams in SaaSCoaching-oriented leadershipKPIs & performance managementAgile delivery (Scrum, Kanban)End-to-end AI project delivery: research → design → productionStakeholder management & translating AI into business valueAI governance, ethics & responsible AI frameworksA/B testing, experimentation & data/model versioning
Python, SQL & MLOps
Python (Strong: FastAPI, Pydantic, scikit-learn)SQL & Relational Modeling (PostgreSQL, SQL Server)MLOps: model versioning · CI/CD for ML · drift monitoringExperiment tracking · prompt registries · A/B frameworksTypeScript & Node.js (for product integration)
Azure & Cloud AI Platforms
Azure AIAzure ML Studio & Azure OpenAI ServiceAzure AI SearchCognitive Services & Bot FrameworkAWS (Bedrock, SageMaker, Lambda, EKS)Kubernetes & DockerCI/CD (Azure DevOps, GitHub Actions, ArgoCD)Cost optimization & token usage management for AI systemsObservability (Prometheus, Grafana, OpenTelemetry, App Insights)
Software Engineering & Product Integration
Integrating AI into production SaaS productsMicroservicesEvent-Driven ArchitectureAPI-Driven DesignRESTGraphQLWebSockets & real-time interaction patternsCross-functional collaboration with Product, UX & EngineeringPerformance, scalability, security & cost trade-offs at scale
///Education & Certifications
MSc Software Engineering
M-ITI (University of Madeira) in partnership with CMU · Score: 18/20 (EQF 7)
Gold Member · DeepLearning.AI