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🤖 Generative AI & Agentic Systems

I design and ship production-grade GenAI applications — not just prototypes. My work includes multi-agent orchestration pipelines using LangChain, LangGraph, AWS Strands Agents, and custom agent frameworks where autonomous AI agents reason, plan, call tools via MCP (Model Context Protocol), and self-correct through critic-agent loops. I deploy agents at scale on Amazon Bedrock AgentCore — leveraging its managed runtime, persistent memory, and secure agent harness for enterprise workloads.

I build advanced RAG pipelines with vector databases (Pinecone, pgvector), hybrid retrieval strategies, and context-window optimization to deliver grounded, hallucination-resistant answers. I integrate the latest frontier models — OpenAI GPT-5.5, Anthropic Claude Opus 4.7, Google Gemini 3.1 Pro — choosing the right model for each task's latency, cost, and accuracy trade-offs. Every pipeline ships with evaluation-driven development: automated test suites built on DeepEval and RAGAs — measuring hallucination rates, answer relevancy, contextual precision, and tool-selection accuracy — integrated into CI/CD so quality never regresses.

☁️ Cloud-Native & Platform Engineering

I architect and operate cloud-native systems on AWS, GCP, and Azure — from serverless Lambda micro-services and ECS container fleets to multi-region, high-availability deployments. For agentic workloads I use Amazon Bedrock AgentCore as the managed runtime — handling compute, persistent state, and identity isolation — so agent logic runs securely at scale without custom infra. Infrastructure is always code-first: I define every resource with Terraform / OpenTofu and AWS CDK, enforce policy-as-code guardrails, and run continuous drift detection so what's in version control matches what's in the cloud. I build internal developer platforms with golden-path templates — reducing cognitive load for teammates while embedding security, observability (Datadog, Grafana), and cost controls from day one. Deployments flow through GitOps pipelines (Argo CD, GitHub Actions) with blue-green and canary strategies on Kubernetes and OpenShift.

⚡ Full-Stack Engineering

On the frontend I ship fast, accessible interfaces with React, Next.js, and TypeScript. On the backend I work across Node.js, FastAPI, Spring Boot, and ASP.NET Core — building RESTful and GraphQL APIs, event-driven microservices, and real-time data pipelines. I write comprehensive test suites (unit, integration, E2E, acceptance) and run them automatically in CI so regressions are caught before they ship. I've delivered projects ranging from early-stage MVPs to enterprise-scale distributed systems serving millions of requests — always following Agile/Scrum rhythms.

📱 iOS, macOS & visionOS Apps

I design and publish native Apple apps with SwiftUI, Core Data, CloudKit, and StoreKit 2. Several of my apps — Good Spark, Moment365, Focalify — are live on the App Store, spanning affirmations, countdown timers, and productivity tools with support for iPhone, iPad, Mac, and Apple Vision Pro. I handle the entire lifecycle: architecture, UI/UX, in-app purchases, iCloud sync, App Store review, and post-launch analytics.