# Maxim Gurevich

> Engineering at Valon

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/maximgurevich

I specialize in applied AI and Search, with over a decade of experience building reliable, high-impact products using modern ML, Knowledge Graphs, and LLMs.
My experience ranges from hands-on, 0-to-1 product development at early-stage startups to leading and scaling engineering teams through periods of high growth.

## Work Experience
### Software Engineer @ Valon
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Tako
Jan 2024 – Jan 2025 | San Francisco Bay Area
Building Knowledge Graph for AI Search

### Engineering Manager @ Tecton
Jan 2021 – Jan 2024 | San Francisco Bay Area
Leading and growing team that builds enterprise-grade features that unlocked multi-million dollar customer contracts. Partnering closely with product and GTM teams, we delivered core identity controls (RBAC, SCIM, M2M auth), observability (Metrics API, Compute), and enterprise UI.

### Founding Engineer @ Tecton
Jan 2019 – Jan 2021 | San Francisco Bay Area
Co-created the core architecture for Tecton's declarative ML framework, data abstractions, engineering practices. Built backend microservices, client SDK, and UI.

### Staff Software Engineer @ Uber
Jan 2016 – Jan 2019 | San Francisco Bay Area
Worked in product engineering on growth, core dispatch, and marketplace.
Built and launched a new Commute product. Analyzed and improved user experience and market economics of Driver Destination and Uber Pool products.

### Software Engineer @ Bento Labs
Jan 2014 – Jan 2016 | San Francisco Bay Area
As a founding engineer, built an AI-powered Android launcher from the ground up, delivering an experience that achieved a 4.5+ store rating and 30 minutes of daily user engagement. Developing the backend infrastructure, data sync and external API integrations, and the core personalization and recommendation models.

### Software Engineer @ RelateIQ
Jan 2013 – Jan 2014
Data products, machine learning, data infrastructure. Rebuilt search on ElasticSearch, data extraction and enrichment from external sources.

### Software Engineer @ Google
Jan 2012 – Jan 2013
Google Search serving backend: improved core index serving system, built tooling for fast experimentation with search quality

### Visiting Scientist @ Yahoo! Research
Jan 2010 – Jan 2012
Taking Machine Learning research ideas to practical applications in Search and Ads

### Research Engineer @ IBM Research
Jan 2001 – Jan 2006
Compilers and post-link (binary) program optimization

### Software Engineer @ Intel
Jan 1998 – Jan 2001


## Education
### Doctor of Philosophy (Ph.D.) in Computer Engineering
Technion - Israel Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/maximgurevich
- Portfolio: http://sites.google.com/site/maxim432

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Source: https://flows.cv/maximgurevich
JSON Resume: https://flows.cv/maximgurevich/resume.json
Last updated: 2026-04-11