Building high-performance interfaces, intelligent systems, multimodal workflows, and production-ready full-stack applications.
I'm a frontend engineer and creative developer focused on modern digital experiences, AI-assisted development, interactive systems, and scalable application architecture.
My work sits across several highly scientific disciplines:
- Turning caffeine into questionable amounts of code
- Making websites move when they probably shouldn't
- Breaking things, then calling it debugging
- Teaching AI to do the boring parts
- Making Figma designs regret becoming real websites
- Spending 3 hours fixing a 3-pixel alignment issue
- Opening 47 browser tabs and remembering none of them
- Writing code at 3 AM and calling it productivity
- Building things that make future me say "why did I do this?"
- Occasionally remembering to commit
Three.js · WebGL · Canvas · GSAP · Anime.js · Lenis
LLMs · Transformers · Embeddings · RAG · Agents · LoRA · QLoRA · PEFT · Fine-tuning · Quantization · Function Calling · Structured Output
flowchart TD
USER["Looka / User"]
INPUT["Prompt + Image + Documents + Code + Figma"]
CONTEXT["Context Engineering"]
EMBEDDING["Embeddings"]
RETRIEVAL["Retrieval"]
RERANK["Reranking"]
VECTOR["Vector Database"]
MEMORY["Memory + Cache"]
ROUTER["LLM Router"]
OPENAI["OpenAI"]
ANTHROPIC["Anthropic"]
GOOGLE["Google"]
LOCAL["Local Models"]
BASE["Base Model"]
LORA["LoRA"]
QLORA["QLoRA"]
PEFT["PEFT"]
QUANT["Quantization"]
FINETUNE["Fine-tuning"]
AGENT["AI Agent"]
PLAN["Planning"]
TOOLS["Tool Calling"]
MCP["MCP"]
EXEC["Execution"]
REFLECT["Reflection"]
API["AI API"]
FRONTEND["React / Next.js"]
BACKEND["Node.js / Python"]
DATABASE["PostgreSQL / MongoDB"]
STREAM["Streaming"]
EVAL["Evaluation"]
GUARD["Guardrails"]
OBS["Observability"]
DOCKER["Docker"]
CICD["CI / CD"]
CLOUD["AWS / GCP / Azure / Cloudflare"]
USER --> INPUT
INPUT --> CONTEXT
CONTEXT --> EMBEDDING
EMBEDDING --> VECTOR
VECTOR --> RETRIEVAL
RETRIEVAL --> RERANK
RERANK --> ROUTER
MEMORY --> CONTEXT
ROUTER --> OPENAI
ROUTER --> ANTHROPIC
ROUTER --> GOOGLE
ROUTER --> LOCAL
BASE --> LORA
BASE --> QLORA
LORA --> PEFT
QLORA --> PEFT
PEFT --> FINETUNE
QUANT --> LOCAL
FINETUNE --> LOCAL
ROUTER --> AGENT
AGENT --> PLAN
PLAN --> TOOLS
TOOLS --> MCP
MCP --> EXEC
EXEC --> REFLECT
REFLECT --> AGENT
AGENT --> API
OPENAI --> API
ANTHROPIC --> API
GOOGLE --> API
LOCAL --> API
API --> FRONTEND
API --> BACKEND
BACKEND --> DATABASE
API --> STREAM
API --> EVAL
EVAL --> GUARD
GUARD --> OBS
FRONTEND --> DOCKER
BACKEND --> DOCKER
DOCKER --> CICD
CICD --> CLOUD
| Layer | Focus |
|---|---|
| LLMs | OpenAI, Anthropic, Google, open-source models |
| RAG | Embeddings, retrieval, reranking, context engineering |
| Agents | Planning, tools, memory, MCP |
| Model Engineering | LoRA, QLoRA, PEFT, fine-tuning, quantization |
| Multimodal | Text, image, documents, vision workflows |
| Evaluation | Testing, tracing, regression, quality evaluation |
| Production | APIs, streaming, queues, observability, cloud |
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| Area | Technologies |
|---|---|
| Frontend | React, Next.js, TypeScript |
| Creative Development | Three.js, WebGL, Canvas |
| Animation | GSAP, Anime.js, Lenis |
| AI Engineering | LLMs, RAG, Agents, MCP |
| Model Engineering | LoRA, QLoRA, PEFT, Fine-tuning |
| Machine Learning | PyTorch, Transformers |
| Backend | Node.js, Python |
| Databases | PostgreSQL, MongoDB, Redis |
| Vector Search | ChromaDB, Pinecone, Weaviate |
| Cloud | AWS, GCP, Azure, Cloudflare |
| Automation | AI, APIs, n8n |
| Community | Discord Bots, Discord APIs |
Design interfaces. Engineer systems. Build intelligent systems.