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João Vitor Farias UserJU
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João Vitor Farias User

@joovitorfariasuser

Software engineer at Fiboo who brought an AI handwriting-grading platform from demo to production and cut p95 latency to 468 ms.

Brazil
Message

At Fiboo, where I’m the first engineering hire, I took an AI platform that grades children’s handwriting from demo to production. I built its handwriting-grading pipeline with Google Gemini and improved OCR accuracy on known failure cases from 70% to 100% through temperature 0 and margin cropping.

I also built Django REST Framework APIs and production infrastructure, then load-tested the platform with k6 to about 1,000 concurrent students with zero 5xx errors. Tuning keep-alive, heartbeats, and worker CPU priority cut p95 latency from 1.09 seconds to 468 milliseconds.

Experience

Work history, roles, and key accomplishments

Fiboo logoFI
Current

Full-Stack Developer

Fiboo

Apr 2026 - Present (7 months)

Built the AI pipeline that grades children's handwritten math, raising OCR accuracy on known failure cases from 70% to 100% via temperature 0 and margin cropping. Made the LLM layer production-grade with a thread-safe Gemini client, retries, timeouts, and cost tracking, and built Django REST Framework APIs with JWT auth over PostgreSQL and Redis-backed Celery queues.

FU

Teaching Assistant, Calculus & Foundational Math

Federal University of Pelotas (UFPel)

Sep 2023 - Sep 2025 (2 years)

Taught math and calculus to undergraduate classes, helping cut the failure rate from 31% to 20%.

Education

Degrees, certifications, and relevant coursework

Federal University of Pelotas (UFPel) logoFU

Federal University of Pelotas (UFPel)

B.Sc., Computer Science

Grade: 9.1/10

B.Sc. in Computer Science from the Federal University of Pelotas, expected to complete in February 2026.

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