Mission Control / Agentic AI Developer / AI Engineer

Building autonomous systems for reasoning, memory, and execution.

I turn LLM prototypes into reviewable workflows: LangChain/RAG systems, tool-based agents, document intelligence, data pipelines, and customer-facing AI applications.

Inspect Systems Open Communication Channel

Customer-facing AI POCs

Built with real documents, users, feedback, and delivery constraints.

Regulated enterprise context

Experience with sensitive workflows, operational reporting, data quality, and production support.

Prototype to reliable workflow

Focus on logging, plausibility checks, structured outputs, and documentation.

Systems

Operational modules

MODULE_01 Status: CUSTOMER POC

Document Intelligence Evaluation Workflow

Anonymized extract-rank-explain workflow for complex document evaluation, built for reviewable decision support with real user feedback.

MODULE_02 Status: IN PRODUCTION CONTEXT

Planning Decision Support Engine

Anonymized AI-assisted planning workflows combining heterogeneous domain data into traceable recommendations and scenario comparisons.

MODULE_03 Status: REGULATED SYSTEMS

Regulated Operations Data Platform

Backend, data, and reporting work for business-critical regulated systems with production support and operational reliability requirements.

MODULE_04 Status: PRODUCTIVE INTERNAL APP

Analytics Enablement Platform

Internal analytics platform and enablement workflows supporting KPI reporting, stakeholder self-service, and data-driven operations.

Operator Profile

Silas Ferreira da Silva

I am an Agentic AI Developer and AI Engineer with a Python/Data Engineering background and hands-on experience building production-oriented LLM workflows, RAG systems, and data-driven applications for enterprise and domain-heavy contexts.

My strongest fit is the space between agent architecture, document/data processing, tool-based workflows, and customer-facing delivery. I like turning unclear business problems into working systems that users can inspect, challenge, and trust.

Experience Trace

Evidence under real constraints

06/2025 - Present

Agentic AI Developer / AI Engineer

Anonymized Planning Platform

Develop AI-based decision-support workflows, data pipelines, scoring logic, dashboards, and traceable outputs for domain experts and business users.

03/2024 - 05/2025

Software / Data Developer

Anonymized Regulated Enterprise Systems

Worked on backend, data, reporting, testing, rollout, and L3 support for business-critical regulated operations systems.

2021 - 2023

Data Platform & Analytics Roles

Anonymized SaaS Analytics Platform

Helped build analytics workflows, dashboards, documentation, and stakeholder enablement formats for an internal data platform.

Currently Building

Active workstreams

agentic workflows for document-heavy decision support
RAG systems with traceable outputs and plausibility checks
Python data pipelines for heterogeneous planning and operations data
lightweight deployment patterns for AI applications

Command Palette

Local console

console.local

Type help to inspect available commands.

rag retrieval context validated
structured output schema stable
plausibility checks enabled
stakeholder feedback loop active
deployment target lightweight

Open Communication Channel

Interested in autonomous AI systems?

Reach out for agentic AI engineering, RAG systems, document intelligence, AI infrastructure, or customer-facing technical delivery.