AI engineer · Agent systems

I build systems that can reason—and know when to ask.

I’m Jancarlos Sosa, an AI engineer focused on agentic workflows, applied intelligence, and the product engineering required to make them dependable.

Jancarlos Sosa wearing a gray suit and striped tie
Jancarlos SosaAI Engineer
Current focus

Reliable agents · human control · useful automation

Operating principle / 02

Capability is easy to demo.
Judgment is harder to engineer.

My work sits between model capability and operational reality: permissions, APIs, context, failure modes, and the moment a person should remain in control.

The goal is not autonomous software for its own sake. It is a system that removes repetition, exposes its reasoning, and earns the right to act.

01Observevoice · screen · event
Reasoncontext + tools
03Approvehuman control point
04Acttraceable outcome

Selected systems / 03

Evidence over adjectives.

All work
01

AI-native personal finance

BudgitBuddy

A production finance platform with a guarded MCP interface for natural-language access to real financial data.

  • Human confirmation for AI writes
  • OAuth 2.0 provider
  • Live bank synchronization

Three independently deployable services, one permission-aware system.

Next.js · FastAPI · PostgreSQL · MCP
02

Voice, retrieval, and documents

InvoiceAssistant

An AI invoicing workflow that turns natural speech and historical documents into structured, editable invoices.

  • RAG over prior invoices
  • Structured PDF extraction
  • Local vector lifecycle management

Speech-to-text, retrieval, extraction, and PDF generation in one workflow.

React · FastAPI · ChromaDB · OpenAI
03

Multi-account trading operations

PSGTrades

A focused trading utility that routes one decision across multiple authenticated brokerage accounts.

  • Multi-account order fan-out
  • Managed authentication
  • AWS serverless order routing

Reduced a repetitive multi-account workflow from roughly 50 minutes to seconds.

Angular · TypeScript · AWS Lambda · API Gateway

Field record / 04

Building across the stack.

Full context
2025 — now

AI Engineer

Designing agentic systems for enterprise workflows where perception, automation, and human review must work together reliably.

01Agent systems

MCP, computer use, tool orchestration, human-in-the-loop controls

02Applied AI

RAG, multimodal models, OCR, speech, evaluation-minded workflows

03Product engineering

Python, Java, TypeScript, FastAPI, Spring Boot, React, Next.js

04Cloud & data

AWS, PostgreSQL, Supabase, Docker, APIs, authentication

Working notes / 05

Writing in public,
thinking in systems.

Open journal

The notebook is open. The first field note is being prepared.

New writing will appear here.

Open channel / 06

Have a consequential problem?

I’m interested in applied AI roles, thoughtful collaborations, and systems where reliability matters as much as novelty.