A breakdown of skills across web development, AI engineering, and growth marketing — with links to live proof.
Production apps with SSR, ISR, server actions, and the full App Router — from routing to deployment.
Strictly typed component architecture, custom hooks, context, and performance-optimized rendering patterns.
Scalable design tokens, consistent component libraries, and pixel-perfect responsive UIs from scratch.
Schema design, complex queries, migrations, and relational modeling for production databases.
Well-documented, versioned APIs with proper auth, rate limiting, validation, and OpenAPI specs.
End-to-end type-safe API layers with zero schema duplication between client and server.
Full auth flows — OAuth, magic links, sessions, JWTs, role-based access, and multi-tenant support.
Subscriptions, one-time payments, webhooks, metered billing, and customer portal integrations.
Globally distributed compute with Vercel Edge, Cloudflare Workers, and cold-start optimized lambdas.
Cache strategies, job queues (BullMQ), pub/sub, and rate limiting to handle high-throughput workloads.
Live dashboards, chat, collaborative features, and streaming UIs using WebSockets and SSE.
Containerized apps, multi-stage builds, GitHub Actions workflows, and automated test/deploy pipelines.
Object storage, CDN configuration, edge caching, and infrastructure-as-code for scalable deployments.
Unit, integration, and E2E test suites with CI enforcement, coverage thresholds, and typed mocks.
Chat completions, function calling, structured outputs, assistants, and the Realtime API for voice and streaming.
Claude 3.5/3.7 Sonnet and Opus integrations — extended context, tool use, and vision capabilities.
Gemini 1.5/2.0 Flash and Pro — multimodal inputs, long context, and native Google ecosystem integrations.
Multi-step autonomous agents with tool calling, memory, planning loops, and human-in-the-loop checkpoints.
Full RAG pipelines — chunking, embedding, retrieval, reranking, and grounded response generation.
High-performance vector search with cosine similarity, hybrid search, and metadata filtering at scale.
Systematic prompt design, chain-of-thought, few-shot patterns, and automated eval frameworks.
Image analysis, document parsing, audio transcription, and mixed-modality pipelines across providers.
Low-latency voice applications using OpenAI Realtime API, WebSocket streaming, and speech synthesis.
Token-by-token streaming UIs, server-sent events, and backpressure-aware streaming architectures.
Index management, namespace isolation, upsert pipelines, and ANN search for production RAG systems.
Composable LLM pipelines, document loaders, retrievers, and chain abstractions for complex workflows.
Building and consuming MCP servers to give AI agents structured access to tools, data, and APIs.
No-code/low-code automation workflows with LLM nodes for classification, extraction, and generation.
Domain adaptation of open-source models using LoRA and PEFT techniques on custom datasets.
Full analytics setup — event schemas, custom dimensions, conversion tracking, and data layer architecture.
Multi-touch attribution, assisted conversion analysis, and channel ROI reporting across the funnel.
Core Web Vitals, structured data, crawl optimization, content gap analysis, and programmatic SEO.
Editorial calendars, SEO-led content briefs, long-form articles, and AI-assisted content workflows.
Lifecycle flows, segmented campaigns, A/B tests, and behavioral trigger sequences for retention.
Google Ads and Meta campaign setup, audience building, bidding strategies, and performance reporting.
Hypothesis-driven tests, statistical significance analysis, and iteration loops to lift conversion rates.
Consistent UTM taxonomy, tagging audits, and real-time dashboards to keep attribution clean.
Self-serve BI dashboards with live data connections, drill-downs, and automated report delivery.
RFM models, cohort analysis, and lifecycle stage mapping to improve LTV and reduce churn.
Source/destination setup, identity resolution, and event tracking pipelines through Segment.