Summary

Daloopa

Website: https://daloopa.com/

Company: Daloopa

Role: Tech Lead

Tech used: Python (Scrapy, Django), MYSQL, Kubernetes

  • Scaled company crawlers, moving from monolithic VMs to containerized structure
  • 100k+ filings processed
  • Lead for data extraction project for a bank, 14k companies
  • Lead for analytic data project around earnings release time. 600 companies supported
  • Lead for incidents management project, a structured process using Pagerduty
  • Crawling system for news wire and Investor Relations websites, supporting extra 900 companies
  • Kubernetes management, AWS costs, internal and external apps/tooling deployment and monitoring
  • 93% accuracy system for period extraction from tables
  • 95% fundamental extraction from earnings release of 2500 companies

Scanly

Website: https://scan.ly

Company: YosemiteLabs

Role: Tech Lead

Tech used: Python (Flask), Redis

  • More than 100k events processed across multiple factories
  • Implemented Scanly in tobacco factories in the Dominican Republic
  • Manager of 8 people implementing a cloud solution for event data storage

Crossmint

Website: https://crossmint.com

Company: YosemiteLabs

Role: Blockchain Software Engineer

Tech used: Typescript (Next.js)

  • 50k+ compressed NFTs over 6 months
  • Implemented Creator Verification and compressed NFTs for the Solana blockchain
  • Load Tests and Application Performance

Classdojo

Website: https://classdojo.com

Company: YosemiteLabs

Role: Tech Lead and Backend Developer

Tech used: Typescript (Koa + React)

  • 1000+ classes booked with 200 teachers
  • Backend, Frontend, Infrastructure and Project management for class marketplace platform
  • Security consulting, Pen Test across the application

Safari.ai

Website: https://getsafari.ai

Company: YosemiteLabs

Role: Tech Lead

Tech used: Python (Django), Typescript (React)

  • Senior Backend Engineer and Manager
  • Built MVP on top of existing camera vision project to pitch the solution for a Theme Park
  • Django REST API implementation and Frontend

Clever Harvest

Website: https://cleverharvest.com

Company: YosemiteLabs

Role: Manager

Tech used: Python (Flask), Typescript (React + React Native)

  • Over 20k tons of olive oil tracked
  • Built applications from scratch, Backend, Frontend, Infra and Mobile Apps
  • Released first application draft in two months on IOS and Android

Charm

Website: https://charm.io

Company: YosemiteLabs

Role: Infrastrucutre Consultant

Tech used: Python (Django), Terraform, AWS (EC2 + DynamoDB)

  • 5k USD / month saved from their AWS bill
  • Long-running ETL analysis and potential solutions
  • Terraform project for company infrastructure with deployment automation

Insurita

Website: https://insurita.com

Company: YosemiteLabs

Role: Data and Backend Engineer

Tech used: Python (Airflow + Flask), Metabase, Golang (gorilla/mux)

  • 200k+ daily cold calls with a new dialer system
  • Full BI project, with ETLs, Database and Dashboards
  • Bot Automation for Lead retrieval, integration with 5 suppliers

Confere

Website: -

Company: CloudWalk

Role: Operations Manager

Tech used: Microsoft (SQL Server + Integration services + Windows Server), Python (Airflow + Flask), Kubernetes, PostgreSQL

  • New integration system, communication with 20 financial institutions with 10k files processed / day
  • Internal data provider application for apps, 30 data endpoints for 3 applications
  • Modernized company’s infrastructure and operation processes, using Kubernetes and HubSpot
  • Classification and documentation of all companies integrations, over 30 at the time
  • Support and improvements over the current integration process

Stone

Website: https://stone.com.br

Company: Stone

Role: Business Analyst and Data Engineer

Tech used: Microsoft (SQL Server + Integration services + Windows Server), Python (Airflow + Flask), Metabase, AWS (Redshift), Snowflake

  • Business intelligence system consolidating data across the company
  • Developed ETLs and dashboards for Sales and Operations teams
  • Report Automation and KPI validations
  • Cloud migration from on-premises to Azure and AWS
  • SalesForce integration with SQL Server