Acted as the Point of Contact for multiple verticals, serving as a go-to Subject Matter Expert for product and language-specific challenges for Google Search and Ads.
Managed cross-functional milestones, prioritizing projects, and coordinating with stakeholders to ensure seamless project execution and delivery, resulting in high quarterly revenues.

Successfully secured and led multiple program-wide projects to support new Google products, further establishing the team as a critical asset within the organization.

Key Contributions:
- Applied machine learning classifiers to analyze and optimize search query behavior across diverse locales.
- Developed and fine-tuned semantic models to improve search accuracy and relevance in over 23 languages.
- Engineered ground truth datasets using human feedback to ensure high-quality AI training pipelines.
- Enhanced global search localization accuracy, resulting in improved performance metrics and user satisfaction.
- Boosted the search engine’s ability to interpret and respond to complex user queries across cultures and languages.

- Spearheaded global software localization projects for multiple Google Search features, collaborating with multidisciplinary teams to define software needs and streamline feature delivery.
- Led the successful improvement of five major Google Search products, ensuring exceptional user experience while driving significant revenue growth.
- Pioneered four new AI & ML pipelines to support the migration of a worldwide NLP and NLU program.
- Explored and exploited new verticals for Google Search, identifying untapped opportunities to extend functionality and revenue streams.

- Expanded the team from 4 to 23 engineers in just 12 months, recruiting, training, and mentoring new members.
- Built a culture of continuous improvement through coaching and technical upskilling.
- Established systems for documentation, status tracking, and communication, ensuring transparency and alignment across engineering and stakeholder teams.
- Set and monitored OKRs and KPIs, aligning engineering efforts with strategic goals to maximize program success.

Achievements in Numbers

Led a team of 23 internationalization engineers, increasing performance across 23 languages.
Improved 5 major Google Search products, enhancing results accuracy and generating significant revenue growth.
Grew the team by 475% in one year, establishing robust systems for hiring, onboarding, and development.
Delivered 4 new AI and ML pipelines, supporting the seamless migration of Google’s global NLP and NLU program.

Data Strategy