AI Integration
LLM-powered features that ship: retrieval pipelines, agent workflows, evals, and prompt work to keep it reliable in production.
Lambda-Byte is the studio of Bozhidar Lambov - one engineer for AI integration, data analysis, web development, and system design. From first sketch to production.
I work end-to-end so things don't fall through the gaps between layers. Small enough to move fast, broad enough to cover the full stack.
LLM-powered features that ship: retrieval pipelines, agent workflows, evals, and prompt work to keep it reliable in production.
Turning raw signals into decisions. ETL, modeling, dashboards, and the occasional deep-dive when the dashboard doesn't have the answer.
Type-safe full-stack apps that hold up at scale. Performance-first front-ends, boring back-ends, and a deployment setup that doesn't drift.
Architecture that's still maintainable next year. Event-driven cores, clear interfaces, observability designed in - not as a post-launch patch.
Discovery, design, build, and deploy are the same person - so nothing gets lost between phases. You'll talk to the engineer doing the work.
import { openai } from "@/clients"; import { retrieve, rerank } from "@/rag"; export const ask = async (q: string) => { const docs = await retrieve(q, { k: 24 }); const top = await rerank(q, docs).then(t => t.slice(0, 6)); return openai.stream({ model: "gpt-4.1-mini", messages: prompt(q, top), tools, }); }; // traced · evaluated · p95 < 1.4s
Tell me about the system. I'll reply within 48 hours with a one-page scope: what I'd do first, what the risks are, and what good looks like.