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Backend Engineer

Location:
Oakland, CA
Salary:
200,000
Posted:
February 05, 2026

Contact this candidate

Resume:

.

.

ENA HARIYOSHI

San Francisco Bay Area, CA • 248-***-**** • **********@*****.***

SUMMARY

Software Engineer with 7+ years of experience building scalable, data driven systems in production environments, including Google Maps and AI powered localization

platforms. Strong foundation in algorithms, machine learning, and information theory, backed by elite academic training from UC Berkeley and MIT. Fluent in Japanese and English, with professional experience teaching and communicating complex concepts bilingually. Actively pursuing roles in software development, with parallel creative and translation work as complementary strengths EXPERIENCE

Software Engineer, 12/2022 - 01/2026

LILT AI

• Contributed to open source Okapi localization tooling, enhancing internationalization workflows and

translation pipelines.

• Transformed various file formats into standard XLIFF format used by translators and machine learning

algorithms

• Analyzed the types of files coming through the platform to perform regression testing

• Created a filter from scratch for captions files

• Developed the platform through Kubernetes, Docker, Helm, and Terraform

• Aided in database migration from GCP to Clickhouse

• Collaborated with cross functional teams to improve software quality, extensibility, and multilingual support. Software Engineer, Geo Basemap Quality, 11/2018 -

11/2022

Google - Mountain View, CA

• Designed and maintained large scale data pipelines to automatically correct geocoding errors across Google Maps, improving spatial accuracy and data reliability at global scale.

CONTRIBUTIONS

• https://github.com/enah

• https://gitlab.com/okapiframew

ork/Okapi

SKILLS

• Python

• Java

• SQL

• C++

• Machine Learning Pipelines

• Distributed Systems

• Heuristic Design

• Data Quality Engineering

EDUCATION AND

TRAINING

Ph.D. : Coursework in Electrical

Engineering (LIDS), 05/2018

.

.

• Analyzed high volume image based attribute data to assess extraction quality and identify data gaps.

• Built and evaluated classifiers to accept or reject third party landmark data, increasing trusted import volume.

• Conducted funnel and root cause analysis on ingestion pipelines, directly increasing successful data imports through targeted heuristic improvements.

• Performed manual and automated quality inspections to validate edits and continuously refine acceptance logic. Software Engineering Intern, 06/2014 - 08/2014

Google - Mountain View, CA

• Developed automated test suites for Google Calendar using Python, improving coverage and regression

detection.

Software Engineering Intern, 06/2013 - 08/2013

Continental Corporation - Auburn Hills, MI

• Automated data validation processes by writing Java tests for Excel spreadsheets, streamlining

internal reporting workflows.

Math Instructor ( Japanese Language), 08/2012 -

08/2013

Sundai Michigan - Novi, MI

• Lectured on mathematical concepts to grade-school students entirely in Japanese, demonstrating

high-level bilingual fluency.

• Translated complex logic concepts into accessible language for students, honing skills applicable

to technical translation.

LANGUAGES

English: Native Native

Japanese: C1

Advanced (C1)

Massachusetts Institute of

Technology (MIT) - Cambridge,

MA

• GPA: 4.4 / 5.0

• Focus: Mathematical

Programming, Inference,

Information Theory, High

Dimensional

Probability.

Bachelor of Science : Electrical

Engineering And Computer

Science (BLISS, 05/2016)

University of California -

Berkeley

• Coursework: Artificial

Intelligence, Efficient

Algorithms, Graduate

Combinatorial

Algorithms.

• 3.94/4.0

Future Information as

Dimensionality Reduction in

Actuation

• Published in IEEE

• 12/2016

#HRJ#8e4e6f70-1a24-4bdd-be9e-9baad6f98f55#



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