ジェレミアス ジュニア
Language Lit - 語学学習プラットフォーム / アプリの共同設立者Tokyo
ジェレミアス ジュニア
Language Lit - 語学学習プラットフォーム / アプリの共同設立者
I'm a 26-year-old software developer. After spending 1 year and 3 months in Japan as a 留学生, I am now seeking an opportunity to work as a Software Engineer in Japan and contribute to the innovation and growth of the Japanese software industry. I bring over 3 years of experience in API development, Data Science, and Machine Learning, with hands-on expertise in cloud services, particularly Google Cloud Platform (GCP). My skills include Python, Django, Google BigQuery, ETL pipelines, Data Modeling, Looker studio, CI/CD, AWS Lambda, Scikit-Learn, PostgreSQL, Git, and Docker.
Personal Achievements
- IbovFinancials - unique API that provides real-time, low-latency data from the Brazilian stock exchange, entirely free of charge.
Built the backend using Django Rest Framework and WebSocket for live market data streaming, containerized with Docker, and deployed on Google Cloud Platform. This project stands out as the first free solution providing real-time market data access in Brazil, making financial information more accessible to traders and investors.
Ambition
In the future
私は将来、日本の技術業界に貢献したいと考えています。私のスキルと経験を活かし、日本のイノベーションをさらに推進したいです。
Language Lit - 語学学習プラットフォーム8 months
アプリの共同設立者Present
- Present
Language-learning platform, developed with Python, Next.Js and React. offering a variety of content in an EPUB-like reader with advanced spaced repetition flashcards, integrated translation features, and a machine-learning based level matching system.
- Language Lit - 語学学習プラットフォーム
• Architected ETL pipelines to ingest and transform Firestore data into BigQuery, enabling scalable analytics and optimized querying of business-critical metrics • Developed a centralized Looker Studio dashboard to visualize trends in user engagement and revenue growth. • Developed an optimized word search using n-grams and a space-efficient probabilistic data structure to reduce Cloud Functions costs. • Created an unsupervised machine learning recommendation system for categorizing reading levels of words and texts based on Zipf distribution, ensuring appropriate reading level matches between users and content. • Backend system using Django for file processing and content creation, including AI-generated images/text via VertexAI, enabling dynamic creation of personalized learning materials. Python · Firebase · Google Cloud Platform (GCP) · Cloud Functions · Rest API · Scikit-Learn · Machine Learning · Django Rest Framework · Docker · Data Science · ETL pipelines · BigQuery · Looker studio
ISI - ラングエージスクール1 year
語学学校
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この期間、私は日本に移住し、東京で日本語プログラムを修了しました。この期間は、世界中の人々とつながることでネットワークを広げ、ソフトスキルを磨き、新しい言語を学ぶなど、個人的な成長の大きな節目となりました。
Insertus Business Club3 years
Member
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• Employed data analysis and machine learning techniques to optimize trading parameters for real-time stock market applications. • Developed and implemented tools for extracting valuable insights from stock market data, resulting in a 100% reduction in costs associated with acquiring real-time market data.
University of Sao Paulo - USP3 years
Applied Mathematics and Computer Science
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Accomplishments / Portfolio
Awards and Certifications
言語
- Japanese - Conversational
- English - Native
- Portuguese - Native