Tomoko Uchida

Role: Tech Lead / Engineering Manager

• Manage a search team with twelve people.
• Develop team's technology strategies to make highly competitive software products.
• Architect and design a large multi-tenant search platform.
• Lead various product development projects. (e.g., contract article search, similar document search, enterprise mail search, query auto-completion, query recommendation, document recommendation)
• Conduct system performance evaluation to improve search and recommendation quality.
• Develop a healthy software engineering culture.
• Mentor team members.
• Conduct job interviews to hire new members.
  

Technology Stack

• Programming language: Python, Java, JavaScript
• Web framework: FastAPI, Spring, React
• Infrastructure: AWS (ECS), GCP (GKE)
• Middleware: RDS, Elasticsearch, Lucene, etc.
• Analysis platform: BigQuery
• Machine Learning: PyTorch, OpenAI API
• Provisioning: Terraform
• CI/CD: CIrcleCI, GitHub Actions
• Version Control System: Git
• Software design approaches: Clean Architecture, TDD

Develop and maintain a patent search system combining state-of-the-art natural language processing techniques.

Role: software engineer/search engineer

• Maintain various features for a large internet news publishing platform.
• Decouple the search backend as a microservice from a monolithic system
• Improve search qualities (e.g. fix tokenizer configuration or ranking function)
• Develop a personalized news recommendation service by integrating the recommendation model that was made by data scientists into the production system.
• Conduct A/B tests for application UI improvements.
• Develop tools to detect spam comments in a CGM.
  

Technology Stack

• Programming language: Java, Ruby, JavaScript
• Web framework: Spring
• Infrastructure: AWS
• Middleware: RDS, ElastiCache, SQS, DynamoDB, Elasticsearch, Embulk, Apache Hadoop
• Analysis platform: RedShift
• CI/CD: Jenkins
• Version Control System: Mercurial, Git

Role: Senior technical consultant

• Conduct interviews with enterprise customers.
• Define system requirements.
• Make system design proposals including infrastructure sizing, and develop prototypes.
• Develop customized Lucene/Solr components.
• Develop search applications and support customers to integrate them into the production systems.
• Provide technical support about Lucene/Solr/Elasticsearch, and NLP tools.
  

Technology Stack

• Programming language: Java, Scala, JavaScript
• Web framework: Play! Framework, Vue.js
• Search engines: Apache Solr, Elasticsearch, Lucene, Apache Spark
• Infrastructure: AWS EC2

Role: application engineer in an R&D department.

• Design and develop large E-commerce search applications and APIs.
• Redesign and optimize backend systems and data flows.
• Investigate performance-related problems in applications.
• Create click-log analysis scripts for automation.
• Manage small projects (2-3 members)
• Mentor junior engineers
  

Technology Stack

• Programming language: Python
• Web framework: Flask
• Middleware: SQL Server, FAST search engine, Apache Solr, MongoDB, SQLite
• Analysis platform: Apache Hadoop, Apache Hive
• CI/CD: Jenkins
• Infrastructure: On-premise servers
• Provisioning: Chef

Role: Product owner of an enterprise knowledge management system

• Develop a wide range of new features, from backend to frontend, and maintain existing features.
• Write software documentation/manual.
• Provide technical support to customers.
• Manage the whole product release cycle.

Technology Stack

• Programming language: Java, JavaScript
• Web framework: Struts, jQuery
• Application server: Tomcat, WebSphere - Database: IBM DB2