# Rémi Gabillet

> Principal Data Platform Engineer | Data, AI, MLOps | 8tracks Co-founder | Built Data Platforms at Wellfound & Envoy

Location: San Francisco, California, United States
Profile: https://flows.cv/rmi

Early-stage engineer and product builder focusing on Data, AI, and Observability. 
20+ years of startup experience, including 3 acquisitions.

## Work Experience
### Principal Engineer, Data & AI @ Wellfound (formerly AngelList Talent)
Jan 2021 – Present | San Francisco, California, United States
Data Platform
- Created Wellfound’s data platform, powering company-wide analytics and in-product data features.
- Operate large-scale data pipelines in Dagster and dbt, ingesting and modeling multi-source datasets into AWS Redshift and an AWS-based Data Lake.
- Expose and evolve real-time data APIs using FastAPI and Pydantic validation
- Maintain and improve MLOps infrastructure: LLM Proxy layer with real-time logging, uptime, performance, and cost observability; integrated Braintrust for LLM evaluation.
- Scale and optimize HuggingFace ML classification and embedding pipelines, serving billions of predictions in production.

Candidate Sourcing Service
- Aggregate candidate and company data from diverse internal and external sources.
- Transform, normalize, and ML-enrich data (classification, tagging, semantic similarity).
- Index and serve 1B+ candidate profiles and millions of companies in Elasticsearch for high-performance, recruiter-facing search and matching.

Tech: AWS (S3, Redshift, DMS, Athena, Lambda, CloudWatch), Elasticsearch, Python, FastAPI, Pydantic, HuggingFace, dbt, Dagster, Datadog, SQL, LLM

### Staff Data Engineer @ Envoy
Jan 2018 – Jan 2021 | San Francisco Bay Area
- Built and led Envoy’s Data Engineering function from the ground up, enabling self-serve analytics, machine learning, and experimentation across the company.
- Managed and expanded a cross-functional data team to 9; introduced eng best practices (QA, testing, observability) to improve reliability and trust in analytics.
- Designed and implemented customer cohort feature adoption models in dbt + Looker, delivering actionable product insights.
- Developed a scalable event tracking ingestion pipeline (Segment → AWS Glue Data Lake → Redshift) with downstream data models powering analytics, A/B tests, and reporting.
- Delivered embedded, customer-facing analytics inside the Envoy product using AWS DMS, Django, Pandas, React, and Vega.
- Integrated Salesforce and Intercom with internal analytics pipelines, syncing millions of user attributes for sales and support.

Tech: AWS Glue, Redshift, Data Lake, dbt, Python, Django, React, Datadog, Segment, Amplitude, Looker

### Technical Advisor @ 8tracks
Jan 2016 – Jan 2020 | San Francisco Bay Area
After 10 years as a leader at 8tracks, I moved to an advisory position. 
I contributed to data and ML initiatives until 8tracks was acquired, then led the technical transition to the new owners.

### Co-founder, CTO @ 8tracks
Jan 2006 – Jan 2016 | San Francisco Bay Area
- Co-founded 8tracks, scaling it into a beloved music discovery platform with 8M monthly active users and a vibrant, loyal community.
- Built and led a passionate, high-performing EPD team from 1 → 12, fostering creativity, collaboration, and a deep connection to our mission.
- Engineered a high-performance service, consistently maintaining sub-100ms API responses at scale.
- Pioneered data science-driven music recommendations using word2vec within months of its publication.
- Developed a highly scalable in-house product analytics and experimentation platform, processing 1B+ events/month to drive product decisions.

Tech: Ruby, Redis, Redshift, StatsD, D3.js, SQL, AWS, sklearn

### Engineering Manager @ Sprig
Jan 2015 – Jan 2016 | San Francisco Bay Area
- Established real-time event observability with StatsD → Graphite/Grafana to monitor deliveries, inventory, and driver location.
- Integrated Domino Data Lab to enable data scientists to independently develop and deploy ML models.
- Consolidated data warehousing into Redshift and standardized LookML for consistent, reliable analytics.
- Built evaluation and visualization tools for monitoring delivery ETA prediction model performance.

Tech: StatsD, Graphite, Grafana, Redshift, Looker, Python, Domino Data Lab

### Software Engineer @ Google
Jan 2010 – Jan 2011 | San Francisco Bay Area

### Senior Ruby Engineer @ Aardvark (acquired by Google)
Jan 2009 – Jan 2010
Joined Aardvark shortly before its acquisition by Google in 2010, being a key member of a 1-month rewrite of the web UI.

### Ruby Engineer @ Affinity Labs (acquired by Monster)
Jan 2007 – Jan 2009
Early engineer. I contributed to the company’s flagship social networking platform prior to its $61M acquisition by Monster in 2008.

### Software Engineer @ INgrooves
Jan 2005 – Jan 2007

### Database Engineer @ Live365
Jan 2003 – Jan 2005


## Education
### Master of Science in Computer Science
ESIEA - École d'Ingénieur·e·s d'un numérique utile


## Contact & Social
- LinkedIn: https://linkedin.com/in/rgabillet
- Portfolio: http://8tracks.com

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Source: https://flows.cv/rmi
JSON Resume: https://flows.cv/rmi/resume.json
Last updated: 2026-04-12