AKSHAT VERMA

Managing all business optimization ML Teams (org size of 15+, managing over 70% of all ML Engineers and ML leads / managers at Tinder)

1. Recommendations Team

• Recommendations ML team curates the iconic swipe experience of Tinder by recommending potential matches through building foundational ranking and retrieval models as well causal machine learning models to optimize for multiple objectives in a complex multi sided marketplace
• Led the team to deliver +15% lift in matches, +3% lift in DAU, and +$20M lift in direct revenue through recommendation algorithms updates in the last 12 months

2. Revenue Team

• Revenue ML team owns Tinder’s promotions and pricing strategy on subscriptions and ala-carte products as well as recommends the most relevant premium products to Tinder users and optimizes ads
• Led the team to deliver >$50M gain in revenue within the last 12 months across promotions, paywall personalization, product recommendations and ads

3. Engagement and Growth Team

• The engagement and growth ML team works on personalizing the CRM and notifications strategy as well as optimizing growth features.
• Led the team to deliver +5% lift in DAU through CRM personalization initiatives in the last 12 months

Previously worked as

• Engineering Manager II managing revenue and growth ML teams
• Staff Machine Learning Engineer tech leading the revenue ML team
• Senior Machine Learning Engineer on the revenue and recommendations ML teams

• Led end-to-end development of machine learning systems-including personalized search, recommendations, and notifications-driving 11% more RSVPs, 15%+ increase in group starts, and 3-5% lift in user engagement across Android, iOS, and web platforms.
• Launched key ranking and recommendation models such as LambdaMART-based event search, topic recommendations, and quality-aware event suggestions, directly contributing to 20% higher top-result RSVPs and 30%+ increase in new group join rate via email.

• Working within the office of the CTO, contributed to developing data centric systems and solutions using big data technologies and machine learning models. Projects included EMC Lifecare, a predictive analytics platform for patient centric healthcare