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A bit about me

🎓 UC Berkeley
📍 US Citizen

Hi, I'm Noam

I'm a Software Designer — I like that title because I think good software starts with good design thinking, not just good code. I have a UC Berkeley M.S. in Industrial Engineering & Operations Research (focused on Data Science and ML), plus B.S. degrees in EECS and Industrial Engineering, and a B.A. in Music.

I've worked at Fetch Rewards (building data pipelines in Snowflake and dbt), NHERI SimCenter (setting up their full AWS cloud environment), and Amazon Web Services (building an I/O performance testing pipeline). Each role taught me something different about what makes software work well for the people using it.

I care about designing clean solutions to complex problems — whether that's a data model, an ML pipeline, or a piece of infrastructure that someone else will maintain after me.

Python PyTorch SQL Snowflake dbt Java C++ AWS Docker Git Linux Android Unity C#
Career

Experience

Four companies, startup to big tech.

Mar 2025 — Jul 2025 · Remote
Analytics Engineer
Fetch Rewards
Worked on product catalog data infrastructure using SQL, Python, dbt, and Snowflake. Built an SCD table for tracking catalog changes, created Grafana dashboards for catalog metrics, translated Go barcode logic into Python Snowflake UDFs, and diagnosed faulty incremental logic in a 20M-row dbt model.
Jun 2023 — Dec 2024 · Berkeley, CA
Software Developer
NHERI SimCenter
Set up and managed the team's entire AWS environment for large-scale structural engineering simulations. Built CI/CD nightly builds via GitHub Actions, created Docker images for Qt/C++ apps, overhauled the HPC job scheduling interface, and migrated Google Analytics from UA to GA4 to secure NSF funding.
Aug 2021 — Jun 2023 · Irwindale, CA
Software Developer
Business Needs Inc.
Built integration modules for academic scheduling software, automating data feeds from universities. Designed dashboards for university deans and department chairs. Also built telemetric dashboards for fleet management clients.
Jun 2021 — Aug 2021 · Remote
Software Development Engineering Intern
Amazon Web Services
Built an AWS pipeline to automate I/O performance testing for NVMe storage driver releases. Designed the database schema, created interactive Quicksight dashboards, and the results were used directly by the team to verify driver performance before customer releases.
Education

UC Berkeley

Four degrees. One school.

Graduate
M.S. Industrial Engineering & Operations Research
Data Science & Machine Learning Focus
Capstone with General Motors: modeled EV charging and driving behavior using ONSTAR data, generated synthetic datasets, analyzed grid impact, and optimized highway charger placement.
Undergraduate
B.S. Electrical Engineering & Computer Science
UC Berkeley EECS
Coursework in ML, AI, optimization, statistics, and simulation. Capstone with Biosense Webster: anomaly detection in catheter production lines using environmental and behavioral data.
Undergraduate
B.S. Industrial Engineering & Operations Research
UC Berkeley IEOR
Member of Alpha Pi Mu, the Industrial Engineering Honor Society.
Undergraduate
B.A. Music
UC Berkeley College of Letters & Science
Conductor and Concertmaster of the UC Berkeley Philharmonia Orchestra. Assistant Conductor of the UC Berkeley Symphony Orchestra.
Outside Work

Interests

Things I care about beyond the day job.

🤖
Machine Learning
🎵
Conducting & Music
☁️
Cloud Systems
🎮
Game AI
📊
Data Science
🌍
Open Source
🚗
EVs & Clean Energy
🎲
Board Games
Let's Connect

Want to work together?

Whether it's a project, a role, or just a conversation — I'd like to hear from you.

Get In Touch See My Work