Freelance AI Engineer & Multi-Agent System Architect
From Whiteboard to Web-Scale: Ex-Google Technical Partner for Agentic AI & Intelligent Systems.
Most consultancies offer either high-level strategy slide decks or rigid outsourced coding. I bridge this execution gap by partnering with you from ideation, guiding you through discovery and prototyping, engineering your MVP, and eventually your production-grade scalable solution.
Phase 1: Ideation & Discovery
Leveraging 10+ years as a Technical Director to validate value before writing code.
- AI Readiness & Opportunity AuditI evaluate your data architecture and business processes to identify high-impact AI use cases. Whether it's optimizing workflows with RAG (Retrieval-Augmented Generation) or automating visual inspections, I ensure the strategy is grounded in technical and data reality.
- Feasibility & Risk AssessmentDeep-dive assessment of technical constraints, data hygiene, and regulatory compliance (GDPR/SOC2). I verify if the required model performance is achievable before committing significant engineering resources.
- Technical Roadmap DesignMapping a validation-first roadmap with clear milestones. I define the tech stack—from vector databases to LLM providers—ensuring a seamless path from PoC to production rollout.
Phase 2: Prototyping & Proof of Concept
Rapid iteration using modern frameworks to prove value quickly.
- Rapid PrototypingAccelerated development using Python, LangChain, and LlamaIndex. I build functional proofs-of-concept that interact with your real data, allowing stakeholders to validate the core value proposition in weeks, not months.
- Synthetic Task SimulationRigorous testing of agentic planning logic and guardrails using synthetic datasets. I stress-test system robustness and edge-case handling before moving toward production-scale environments.
Phase 3: Production & Scale
Applying 10 years of Google infrastructure experience to build systems that don't break.
- Enterprise-Grade EngineeringArchitecting high-availability serving infrastructure on AWS, Azure, or GCP. I transition fragile scripts into robust, containerized microservices managed via Kubernetes (K8s), complete with comprehensive observability and automated monitoring.
- Agentic OrchestrationDeploying sophisticated multi-agent systems using frameworks like CrewAI or AutoGen. I implement complex orchestration logic with specialized agent roles and human-in-the-loop oversight to ensure safety and reliability.
- Legacy IntegrationBridging the gap between modern LLMs and established enterprise systems. I connect AI agents to your existing ERP, CRM, or data warehouses including Salesforce, SAP, and Snowflake, enabling real-world actionability.
Engagement Models
Advisory Retainer
Ongoing support during ideation and discovery phases.
Sprint-Based Prototyping
Fixed-fee engagements to deliver a working PoC fast.
Production Implementation
Scoped project delivery for full-scale, robust deployment.