I build end-to-end apps with LLMs that move the business needle
Iām Alex Ariza, a Full-Stack Developer focused on integrating LLMs/RAG into real products: Next.js + Node/FastAPI + managed cloud delivery, with latency, cost, and accuracy metrics from day one.
Featured AI Projects
End-to-end AI solutions with shipped MVPs, prototypes, and real product integrations.
Legal Copilot & Internal Knowledge Assistants
Citation-grounded answers from legal and internal documents with a RAG pipeline tuned for relevance.
AI Caloric Estimator ā CV + Embedded Prototype
Hardware + CV system that fuses image and weight data to estimate calories with far lower error than manual tracking.
ChatterBox ā Real-Time Team Chat
Slack/Discord-style web app with authentication, channels, and real-time messaging.
Technical Expertise
Full-stack + AI integration: LLM/RAG features, secure APIs, and measurable performance (latency, cost, accuracy) in production-ready apps.
LLMs, RAG & Prompting
Backend & APIs
Frontend
Cloud & DevOps
Quality, Metrics & Resilience
Why Work With Me
Full-stack developer focused on LLM/RAG integration, measured performance, and production readiness.
Full-Stack + AI builder who ships production-ready features
I translate business needs into measurable requirements (latency, cost, accuracy) and build the stack to support them. From frontend UX to backend APIs, vector search, and cloud delivery, I ship features that users can trust.
My sweet spot: LLM/RAG integrations with guardrails, clear observability, and deployment on managed platforms with CI/CD so teams can iterate safely and maximize conversion (low latency, reliable rollouts).
AI/ML Specialist
LLMs, RAG systems, embeddings, and retrieval tuning (chunking, metadata) to keep answers grounded in your data.
Full-Stack Excellence
Next.js + React frontends, Node/NestJS or FastAPI backends, PostgreSQL/Mongo, and managed cloud delivery (e.g., Vercel for frontends, Supabase or a preferred provider for data) so the AI feature ships with the app and performs well for users.
Measured Outcomes
Obsessed with latency p95, token cost, and accuracy. I add logging, tracing, and evals so we know what's working.
š” My approach: rapid prototyping + production discipline. Speed to value, with security, observability, and sensible costs baked in.
AI Solutions I Build
Production-ready LLM/RAG features shipped end-to-end. Frontend + backend + cloud, with metrics on latency, cost, and accuracy.
Internal Copilots & Semantic Search
RAG copilots that answer from your docs with citations, filters, and relevance tuning.
- ā¢Legal/ops assistants
- ā¢Knowledge bases with sources
- ā¢Semantic search over internal data
Document Automation
OCR + LLM pipelines to ingest, chunk, extract, and validate structured data from files.
- ā¢Contract review
- ā¢Invoice/PO parsing
- ā¢Doc summarization with sources
AI-Powered Operations
Classification, routing, and automation using LLMs with guardrails and retries.
- ā¢Ticket triage
- ā¢Email intents
- ā¢Smart routing + human-in-the-loop
Product AI Features
LLM add-ons for SaaS: draft generation, recommendations, or insight summaries tied to your data.
- ā¢Contextual recommendations
- ā¢LLM-driven editors
- ā¢Insight cards for dashboards
Quality, Cost & Observability
Measure accuracy, latency (p95), and token spend with logging, tracing, and eval sets.
- ā¢p95 latency budgets
- ā¢Token cost dashboards
- ā¢Retrieval/LLM evals
Deployments that Ship
Deployment on managed platforms with CI/CD and secrets management, focused on reliable rollouts and conversion-safe releases.
- ā¢API-first delivery
- ā¢Staging/prod parity
- ā¢Minimal cloud footprint
Don't see what you need? I build custom AI solutions for unique business challenges.
How I Work
A proven process for delivering AI solutions that actually work in production. From initial consultation to ongoing optimization.
Discovery & Strategy
Understanding your business problem and defining success metrics.
AI Solution Design
Architecting the optimal ML/AI approach for your specific use case.
Development & Training
Building, training, and fine-tuning AI models alongside full-stack development.
Deployment & Integration
Launching the solution to production with proper infrastructure and monitoring.
Optimization & Support
Continuous monitoring, improvement, and support for maximum ROI.
Let's Ship Your Next AI Feature
Ready to integrate LLMs or ship a RAG copilot? I turn ideas into production-ready apps with clear metrics on latency, cost, and accuracy.
arizah2020@gmail.com
Replies within 24h
Location
Colombia Ā· Remote-first (USA/EU overlap)
Open to travel when needed
Availability
Accepting new projects
ā Ready to start now
Get in touch
Prefer to keep things simple ā reach out via email or visit my profiles. I typically reply within 24 hours.