Software Engineer · GenAI Platform · Arizona
Guadalupe HigueraI build agentic AI in production.
GenAI platform powering agentic systems for 10,000+ users at Wells Fargo. On the side, I ship LLM projects end to end: a fine-tuned race strategist, a Bedrock shopping agent, and a RAG engine that surfaces contradictions instead of hiding them.
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Three projects, one theme: agents that actually work.
iRacing AI Race Strategist
ShippedEval score 29.7 → 78.5 · hallucinations 48/55 → 0/55 · 800–1100 ms end-to-end
Fine-tuned Llama 3.1 8B that calls race strategy in real time — and the eval harness that proved it works.
- Llama 3.1 8B
- QLoRA
- transformers / peft
- LM Studio
- GGUF q4_k_m
- Piper TTS
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AWS Bedrock Agentic Shopping Assistant
LiveLive at shop.higuera.io · full AWS infra (Lambda, DynamoDB, API Gateway, S3, IAM) in Terraform
Autonomous shopping agent on AWS Bedrock — natural-language search, tool-calling, fully Terraform-provisioned.
- AWS Bedrock Agents
- Lambda
- DynamoDB
- API Gateway
- S3
- IAM
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Titanic Historical RAG
Live~40k chunks indexed · pairwise contradiction detection with 0–1 confidence + per-conflict rationale
A RAG search engine over the 1912 Titanic inquiries that surfaces contradictions between witnesses instead of hiding them.
- OpenAI text-embedding-3-large
- Pinecone
- Claude Haiku 4.5
- FastAPI
- SQLite
- pymupdf
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▌ BUILDING
Production platform infrastructure for AI agents at Wells Fargo, powering five business use cases across policy, finance, and investments.
▌ STUDYING
MS in Computer Science at ASU — Knowledge Representation & Reasoning, Artificial Intelligence, Bio-Inspired Computing. Notes and reflections live on the blog.
▌ READING
Engineering books, papers, and the occasional historical primary source. Reviews and takeaways on the book reviews page.