10000 azhtom (Daniel Soria) · GitHub
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azhtom/README.md

Hey, I’m Daniel 👋

I’m a software engineer from Lima, Peru with 10+ years building backend systems, high-scale integrations, cloud infrastructure, and AI-powered apps.

I like shipping things that actually run: services that sync millions of records, AI agents that automate workflows, and products that make people say “this just works.”

Right now I’m building AI applications, agent workflows, vector-based retrieval, and developer-centric architectures for fast, reliable automation.


🔧 What I build

  • 🧠 AI-driven systems: tool-calling agents, RAG, vector search, workflow automation
  • 🏗️ Backend services: FastAPI, Django, Go microservices, async workers, distributed flows
  • 🔌 Large-scale integrations: retail APIs, stock/price sync for 11M+ SKUs, ETL pipelines
  • ☁️ Infra & DevOps: Docker, Kubernetes, Terraform, CI/CD, AWS, GCP, Azure CA
  • 💬 Conversational products: WhatsApp bots, AI finance assistants, AI fitness coaching
  • 📊 Data & pipelines: Airflow, Presto, Pandas, optimized ingestion and transformations

🚀 Projects I’m proud of

Chanchito (2024–2025)

AI finance assistant with budgets, transactions, insights, and a conversational UX.
Stack: FastAPI, Postgres, vector search, embeddings, LangChain/LangGraph.

StrengthSet (2025)

AI workout coach that creates structured routines, explains movements, and adapts to the user.
Stack: Python, FastAPI, OpenAI.

Prix Rola (2025)

Marketing experience for Prix Cola that generates custom songs using OpenAI + Riffusion.
Stack: Python, Vue.js, Riffusion.


💼 Experience

Uber — Integrations Engineer (2023–2025)

Built Go + Python services for global retail systems, syncing 11M+ records across stock and price flows.
Worked with Cadence, Presto, Kafka, and internal distributed tooling.
Improved reliability, handled incidents, and maintained technical documentation.

Cornershop by Uber — Tech Lead, Integrations (2020–2022)

Led integrations for Peru & Costa Rica, architected pipelines, onboarded partners, and guided a distributed team.
Stack: Python, Airflow, Django, Node.js, Kubernetes.

Other Roles

Worked across startups and agencies like La Positiva, Tuxpass, MullenLowe, Netzun (CTO), Cabify, and SrBurns, delivering tools, platforms, and cloud infra end to end.


🛠️ Skillset

Languages
Python · Go · TypeScript · JavaScript · Node.js

Backend
FastAPI · Django · Sanic · Flask · REST APIs

Frontend
Vue.js · React · Nuxt · Flutter

AI / ML
OpenAI APIs · Riffusion · Embeddings · Vector DBs · RAG · Agent workflows

Infra / DevOps
Docker · Kubernetes · Terraform · Airflow · Cadence · CI/CD · AWS · GCP · Azure

Databases
PostgreSQL · Redis · MongoDB · MySQL


🌍 What drives me

  • I like turning ideas into real, working software — fast, but with clean architecture.
  • I’m interested in agentic systems, automation, and everything AI can simplify.
  • I build with a startup mindset: short cycles, high clarity, real impact.
  • Always open to collaborate or exchange ideas with other builders.

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