### Meta Platforms — Senior Software Engineer
*London, UK | October 2021 – Present*

#### Ads ML Infra Training Reliability *(July 2025 – Present)*

Joined as a founding engineer of a newly formed ML infrastructure reliability team in London, focused on improving the training reliability and efficiency of massive ads ranking models trained on thousands of GPUs. The team predominantly works on Meta's [Generative Ads Recommendation Model 'GEM'](https://engineering.fb.com/2025/11/10/ml-applications/metas-generative-ads-model-gem-the-central-brain-accelerating-ads-recommendation-ai-innovation/).

- Drive automated testing efforts as part of GEM Productionization to uplevel the reliability of the exploration model.

#### Core Ads Quality *(December 2021 – July 2025)*

Part of the central team owning the [organic bid component](https://www.facebook.com/business/help/423781975167984) in Meta's ads auction system — building cross-app and infrastructure ads delivery solutions that optimize for long-term gain. As single-threaded owner, lead, or sole contributor across key workstreams, delivered:

- **0.17%** increase in ads revenue per annum
- **2.5%** potential ads revenue unlock through personalization
- **8.892 Engineering Years Saved (EYS)** across developer productivity projects over five years

**Long-term Ads Engagement** *(January – March 2022)*

Built the first version of a complex data pipeline using Meta's internal [Apache Airflow-based "Dataswarm" system](https://medium.com/analytics-and-data/i-hear-facebook-has-data-does-it-have-data-tools-a9f4c4d82ee7) to ingest ad engagement and quality metrics from multiple sources, train pre-existing ML models, and generate features and scalars for an experimental bid component aimed at improving long-term ad engagement.

**Ads Conversion Familiarity "ACF"** *(March 2022 – September 2023)*

Engineering owner of a new hypothesis to increase long-term revenue and user engagement by boosting familiar, high-quality ads — helping users convert on purchase ads and become recurring purchasers across Meta products.

- Started as the **sole engineer**; built and launched tens of A/B tests from ideation through shipping.
- Built the **first delivery infrastructure** for the initiative from scratch.
- Onboarded **6 engineers** and grew the workstream to **20+ people across 3 time zones**, evolving it into a stand-alone pod.
- Launched the new treatment to production, generating **0.61% iRev**.
- Received strong leadership recognition for impact on Meta's ad ecosystem.

**Developer Productivity and Foundations Pod** *(September 2023 – July 2025)*

Co-founded the Developer Productivity and Foundation pod to promote efficiency and reliability across infrastructure — owning projects E2E from ideation through adoption.

- **UQL Testing Framework "UTF":** Built an integration testing framework from scratch, integrated with [CI and Testing Infrastructure](https://asiliconvalleyinsider.com/2016/05/01/data-engineering-facebook/), and drove adoption across the team and partner teams. Saved **1.8 EYS** and prevented dozens of bugs and revenue-impacting SEVs from reaching production.
- **User Features Ingestion Platform:** Built a dedicated platform enabling engineers to define and consume user features within the ads delivery system, unblocking personalization efforts for ranking alterations. Potential impact of **2.5% iRev**. Saved **2.71 EYS**.
- **Experiment Monitoring, Management and Reporting Platform:** Automated experiment metric collection from multiple data sources and auto-generated standardized Google Docs reports with scheduled email delivery to stakeholders. Saved **2.7 EYS**, won **"Best Time-Saving Hack"** at the organization's Tooling Hackathon, and received Director recognition.