Saad B.

Lead AI Architect and Senior Agentic AI Engineer with 12+ years shipping production-grade AI, LLM, SaaS, web and mobile platforms for venture-backed companies. Recent work includes building AI agents and an autonomous LLM QA platform for Search Atlas, an AI SEO SaaS at $30M ARR serving 800+ organizations including Fortune 500 brands; data pipelines for AI/LLM training-data labeling at Scale AI ($1.6B+ raised, $29B valuation after Meta's $14.3B investment); AI agents and RPA for healthcare revenue cycle at Thoughtful AI ($35M raised); and a human-risk cybersecurity platform at Elevate Security ($18.3M raised from investors including Cisco and CrowdStrike, acquired by Mimecast). As CTO and Solution Architect, I own architecture, code review and delivery, not just my own tickets. I work with founders and teams who want someone to take full ownership of an AI product, from architecture to production. What I build: Agentic AI systems and LLM-powered products in Python: AI agents, multi-agent orchestration, RAG pipelines, MCP servers, structured LLM output and multi-provider routing across OpenAI, Claude, Gemini and Perplexity. On the backend I use Python, FastAPI, Django, Django REST Framework and Node.js to build APIs and microservices that hold up under load. On the frontend I ship React, Next.js, Angular and React Native apps that stay fast and maintainable as the product grows. I also build the layers AI depends on: ETL and data pipelines on PostgreSQL, PostGIS, MongoDB and Redis, multi-tenant SaaS architecture, and cloud infrastructure on AWS and GCP with Docker, Kubernetes, Terraform and CI/CD. For teams still running high-volume manual work, I design RPA and AI automation: agents that bridge legacy and modern systems, sync data across EHRs, payer portals and internal tools, and run long-lived automations with retries, monitoring and recovery under HIPAA and SOC 2 requirements. My workflow is AI-native. I orchestrate Claude Code, Gemini and Codex agents in parallel git worktrees to automate coding, review, QA and deployment, while holding a high bar on architecture and what reaches production. Where this has played out: Across AI/ML, SEO & MarTech, Healthcare, Cybersecurity, FinTech, E-Commerce, Government and ERP, including an autonomous QA agent that drives a live SaaS with Playwright and files evidence-backed bugs; an autonomous coding-agent platform that turns Jira, Linear and GitLab tickets into merge requests; an AI master-planning SaaS I built solo on the Claude API and PostGIS; the React Native + Django module library at Crowdbotics ($65.5M raised); and frontend architecture for MetrixPlus, a performance-management platform used by UAE government bodies including GDRFA Dubai. Services I provide: - Agentic AI development: AI agents, multi-agent systems, MCP servers, AI workflow automation - LLM integration and RAG: OpenAI, Claude, Gemini, prompt engineering, structured output - AI-accelerated development with Claude Code, Codex and Gemini CLI - Full-stack SaaS development (Python/FastAPI/Django + React/Next.js) - RPA and workflow automation, including legacy system integration - Multi-tenant SaaS architecture, microservices and API design with integrations (Stripe, Slack, HubSpot, CRM/ERP) - Solution architecture, cloud migration, code review and engineering team leadership Tech Stack: - Languages: Python, TypeScript, JavaScript, SQL, PHP, GraphQL, Bash - AI/LLM: Agentic AI, AI Agents, RAG, LLM, Generative AI, Prompt Engineering, OpenAI API, Claude / Anthropic Agent SDK, Gemini, MCP, Local LLMs, Machine Learning, NLP, Computer Vision, OpenCV - Frameworks: FastAPI, Django, Django REST Framework, Flask, Celery, Node.js, NestJS, Express.js, Laravel, React, Next.js, React Native, Angular, Vue.js - Libraries & APIs: Pydantic, SQLAlchemy, Playwright, NumPy, pandas, Redux, NgRx, REST APIs, WebSockets, Stripe, Firebase, Slack API, Google APIs, HubSpot - Practices & Architecture: Solution Architecture, Microservices, Multi-Tenant SaaS, Event-driven Architecture, API-first Development, CI/CD, DevOps, TDD, Agile, Scrum, Observability, Design Patterns, Asynchronous Programming, Performance Optimization - Cloud & Data: AWS (ECS Fargate, EC2, S3, RDS, CloudFront), GCP, Docker, Kubernetes, Terraform, GitLab CI, Nginx, PostgreSQL, PostGIS, MongoDB, Redis, RabbitMQ, Kafka, ETL Pipelines - Tools: Git, GitHub, GitLab, Grafana, Prometheus, Loki, Sentry, OpenSearch, MySQL, SQLite, Jira, ClickUp, Linear