Evelyn Azalea da Silva Olimpio

Available to hire

I am an AI Systems Engineer specializing in Production Inference and LLM Architecture. I don't just train models; I deploy them.

About

I am an AI Systems Engineer specializing in Production Inference and LLM Architecture. I don’t just train models; I deploy them.

My core expertise includes building custom Transformers from scratch (PyTorch), architecting high-frequency distributed data pipelines (FastAPI/SQLAlchemy), and ensuring technical accuracy for SOTA LLMs via RLHF.

I bridge the gap between Data Science and Backend Engineering, turning research code into scalable, low-latency production systems.

  • Joined February 2026

Languages

  • EnglishFluent
  • PortugueseFluent

Industry experience

  • Software & Internet
  • Professional Services
  • Computers & Electronics
  • Financial Services

More experts in Sao Jose dos Campos, Brazil

Projects · 5

AI-Powered Background Remover (Full-Stack) - Deep Learning Architecture

Engineered a U2Net saliency detection model from scratch using PyTorch, trained on the P3M-10k dataset to achieve high-precision alpha matting and hair-level detail preservation. Full-Stack Implementation: Built a responsive React (Vite) frontend with Material UI and Clerk authentication, integrated with a high-performance FastAPI backend that manages user credits and processing quotas via SQLAlchemy. Technologies: Python, PyTorch, FastAPI, React, JavaScript, Material UI, Clerk, SQLAlchemy.

  • AI Developer
  • AI Engineer
  • Data Scientist
  • +3
QuantCandle API

Architected a high-performance REST API designed to serve pre-processed, stationarity-engineered features to live machine learning models in real-time. Built with FastAPI and Asynchronous SQLAlchemy, this system serves as the delivery layer for the QuantCandle ecosystem, handling high-concurrency requests for 1-minute Bitcoin candle data. Key features include an Async Architecture for fully non-blocking database queries to ensure millisecond-latency responses, Cloud Deployment on Oracle Cloud VPS secured via RapidAPI proxy, and an ML-Ready Schema that delivers feature vectors formatted specifically for LSTMs, Transformers, and XGBoost consumption.

  • Cloud Developer
  • Data Scraping Specialist
  • Database Developer
  • +1
QuantCandle Engine: High-Frequency Data Pipeline

Architected the core data ingestion engine capable of processing high-throughput cryptocurrency market data with zero downtime. This service maintains a persistent WebSocket connection to Binance, applying vectorized mathematical transformations (via NumPy) in real-time to convert raw price action into stationary, machine-learning-ready features.

  • Cloud Developer
  • Data Collector
  • Data Scientist
  • +4
Bitcoin Quant Core: Stationary ML Features Dataset

Authored a specialized financial dataset explicitly engineered for Machine Learning stability, pre-processing 1-minute Bitcoin candles to eliminate non-stationary noise. The dataset utilizes Robust Scaling and Arcsinh transformations to normalize distributions across different market regimes, ensuring strictly continuous data streams that support high-frequency model training without look-ahead bias.

  • Data Analyst
  • Data Collector
  • Data Scientist
  • +2
Multi-Target Transformer for Financial Forecasting (From Scratch)

Published a thoroughly documented implementation of a Multi-Target Prediction (MTP) Time-Series Transformer built entirely from scratch in PyTorch. This project features a custom dual-output decoder architecture capable of simultaneous regression for log returns and classification for volatility regimes. To ensure model stability, the system trains strictly on stationary-engineered features and incorporates statistical validation via Spearman Rank Correlation analysis to prune redundant features during the EDA phase.

  • AI Developer
  • AI Engineer
  • Data Scientist
  • +1

Work experience

RLHF Specialist · Outlier.ai (Scale AI)Jan 2026 – Present · 11 mos

Selected as a Domain Expert to evaluate Python code trajectories for SOTA LLM training. I specialize in Chain-of-Thought reasoning, debugging logic, and rewriting complex algorithms to ensure technical accuracy and safety.

Education

Bachelor of Science and Technology (Focus in Computer Science) · Universidade Federal de São Paulo (UNIFESP)2030 – 2027
Bachelor of Science and Technology (Focus in Computer Science) · Universidade Federal de São Paulo (UNIFESP)2030 – 2027

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