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feRpicoral/README.md

Hi, I'm Fernando πŸ‘‹

Full-stack engineer building production AI systems β€” multi-agent orchestration, real-time voice agents, and RAG over private data.
3x Google SWE Intern Β· CS @ University of Colorado Boulder ('26)

picoral.me β€” selected work and case studies


What I build

  • Multi-agent systems β€” LangGraph orchestration, tool use, human-in-the-loop workflows
  • Real-time voice agents β€” low-latency speech pipelines (STT, LLM, TTS) for inbound/outbound calls
  • Agentic RAG over private knowledge bases β€” doc ingestion, embeddings, precise inline citations
  • LLM-powered internal tools β€” transcription, workflow automation, structured extraction
  • Production B2B SaaS in Next.js + TypeScript β€” multi-tenant isolation, billing, observability

Tech I work with

Languages
TypeScript JavaScript Java Kotlin C++

Frontend
React Next.js React Native Tailwind CSS

Backend
Node.js NestJS GraphQL PostgreSQL

AI / LLM
OpenAI Anthropic LangChain LangGraph pgvector

Infra
Vercel Docker AWS GCP

Pinned Loading

  1. relay relay Public

    Voice AI receptionist for service businesses. 24/7 call answering with live dashboard, sub-second latency, and structured post-call analysis.

    TypeScript

  2. sonar sonar Public

    AI sales enablement workspace β€” multi-agent orchestration, call transcription, multi-tenant B2B

    TypeScript

  3. cite cite Public

    Agentic RAG with clickable citations and synced document viewer

    TypeScript

  4. forge forge Public

    Production-grade LLM inference serving & optimization β€” benchmarks, quantization, cost analysis

    Python

  5. anvil anvil Public

    Production-grade LLM fine-tuning with LoRA/QLoRA β€” dataset synthesis, rigorous eval, cost analysis

    Python

  6. indraft indraft Public

    Personal LinkedIn post assistant. Drafts in your voice on a schedule, you publish with a passkey.

    TypeScript