Professional Experience - AutoU (Startup)

About AutoU

AutoU is a startup with disruptive projects in gamification, artificial intelligence, monitoring, management, and insights. The environment is fast-paced, with high client exposure and a focus on quality delivery at high velocity.

Work Context

Projects for large enterprises (full cycle delivery across multiple projects)
Core stack: Python (FastAPI, LangGraph) in the backend and React 19 + Vite in the frontend
Cloud infrastructure: AWS (EC2) and Google Cloud (Cloud Run) + dedicated VPS (Oracle Cloud Always Free) for predictable 24/7 workloads
CI/CD and deploy: GitHub Actions, Vercel, Docker Compose

Experience at the Company

Fullstack Developer

Period: February 2026 - Present | Remote

Infrastructure and DevOps

Configured environments on AWS and Google Cloud
Application deploy; CI/CD pipelines on GitHub Actions
Deploy on Vercel for frontend and applications
Configured Docker Compose for container orchestration
Full development cycle involvement on 2 projects for large enterprises

Applied AI

Computer Vision (Vision + YOLO) pipelines integrated with LLMs via LangGraph and RAG, for real-time monitoring, image analysis, and automated insight generation
PDF catalog ingestion with AI, embeddings (Gemini) generation, and indexing in pgvector / FAISS for semantic product search and enrichment of internal pipelines / AI agents
Fixed and evolved predictive algorithm with Prophet (Python) for time series
New predictive features for transfer, purchase, and substitute recommendations based on demand

B2B Platform for People, Goals, and HR Management

Full cycle ownership of a product used by enterprise clients (FastAPI backend + React 19 + Vite frontend)
Delivered evaluation cycles, OKRs / goals management, and employee roster administration
Focus on operational efficiency and real productivity gains for the customer

Enterprise Integrations

Sankhya/Microwork ERP via API: report automation, quote generation, and sales operational flow optimization
Slack: real-time notifications and alert channels
Outlook / Microsoft 365: transactional emails and notifications
Connecting systems to the communication channels companies already operate in their day-to-day

Full-Stack Development

Backend: Python (FastAPI, LangGraph) for APIs, data processing, predictive models, and agentic flows
Frontend: React 19 + Vite for modern, performant interfaces
Quality delivery at high velocity in a startup environment with high client exposure

Technologies Used:

Python, FastAPI, LangGraph, Prophet
React 19, Vite
LLMs (Gemini), RAG, FAISS, pgvector, Vision + YOLO
AWS (EC2), Google Cloud (Cloud Run), Oracle Cloud (VPS)
GitHub Actions, Vercel
Docker, Docker Compose
Sankhya/Microwork, Slack API, Microsoft 365 / Outlook

Achievements and Learnings

Professional Development

Experience in a fast-paced startup environment with high client visibility
Full cycle on projects for large enterprises from design to deploy
Practical application of AI and predictive algorithms in real business scenarios
Work with modern stack (React 19, Vite, Python, Prophet) in production

Technology Application

Configuration and operation of multi-cloud environments (AWS and Google Cloud)
Fixing and evolving predictive models (Prophet) with direct impact on recommendations
Implementation of CI/CD pipelines and deploy (GitHub Actions, Vercel)
Use of Docker Compose for environment standardization

Specialized Knowledge

Predictive algorithms and time series (Prophet)
Recommendations based on demand and predictions (transfers, purchases, substitutes)
Cloud infrastructure (AWS, Google Cloud) and DevOps (GitHub Actions, Vercel)

Impact and Contributions

Delivery and Quality

Full cycle delivery on 2 projects for large enterprises
High-velocity delivery while maintaining quality in a fast-paced environment
High client exposure, with communication and delivery aligned to expectations

Innovation and Data

Evolution of predictive algorithm (Prophet) and new recommendation features
Transfer, purchase, and substitute recommendations based on demand and predictions
Python + React 19 + Vite stack applied end-to-end in disruptive projects

Skills Developed

Technical

Full-stack development with Python and React 19 + Vite
Predictive algorithms and time series (Prophet)
Cloud infrastructure (AWS, Google Cloud)
CI/CD (GitHub Actions), deploy (Vercel), Docker Compose
Recommendation modeling (transfer, purchase, substitute)

Soft Skills

Working under pressure in a fast-paced environment
Communication with large enterprise clients
Quality delivery at high velocity
Autonomy and ownership in full cycle