- NLP, Generative AI (GenAI)
- Ads Ranking Systems
- Recommendation Systems
- Feature Engineering & Analysis
- Machine Learning
- Competency Recommendation System (VMock):
- Built a recommendation system to suggest competencies and skills to candidates, leveraging their profiles and resumes.
- Billion-user-scale Ads Ranking Models (Meta):
- Designed and implemented novel features capturing advertiser and user purchase price affinities.
- Optimized ads ranking models, boosting advertiser ROAS at Meta.
I am a Senior Machine Learning Engineer with seven years of experience in designing and deploying scalable ML solutions for production. My expertise spans the full machine learning lifecycle—from ideation, data acquisition, and feature engineering to modeling, evaluation, and seamless deployment. I specialize in NLP, Generative AI, recommender systems, ads ranking, and knowledge graphs, backed by a strong foundation in deep learning and Python development.
Throughout my career, I have excelled at translating complex business challenges into impactful machine learning products, leading cross-functional teams to deliver robust, production-grade models. I am adept at building efficient, scalable architectures and driving innovation by leveraging the latest advancements in AI. My approach is rooted in collaboration, stakeholder alignment, and a relentless commitment to continuous learning and delivering high-impact results.
- 🏀 Avid basketball and NBA fan
- 🥾 Hiking enthusiast
- 📚 Loves reading and exploring nature