Urvashi Priyam Kumar

AI Researcher

San Francisco, California, United States7 yrs 8 mos experience

Highly Stable

Key Highlights

Over 8 years of experience in machine learning.
Expertise in building scalable recommender systems.
Strong background in deep learning and NLP techniques.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in B2C recommendation systems and advanced analytics.

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Skills

Core Skills

Machine LearningDeep LearningNatural Language Processing

Other Skills

PythonGoogle Cloud Platform (GCP)TensorFlowKerasPyTorchGo (Programming Language)Computer VisionSpring BootJavaC++Data AnalysisData StructuresAlgorithmsStatistical Data AnalysisData Science

About

Machine Learning Engineer with over 8 years of experience. Skilled in building scalable machine learning systems in the domain of Recommender Systems, Personalization, Query Understanding, Search reranking, Ads Ranking and Personalized offers/Ads, Natural Language Processing, Question Answering, Large Language Models and Computer Vision. Hands on experience in developing ML algorithms ranging from classical ML to complex state of the art Deep Learning and Natural Language Processing techniques.

Experience

7 yrs 8 mos

Total Experience

3 yrs

Average Tenure

1 yr 8 mos

Current Experience

Snap inc.

Machine Learning Engineer

Oct 2024 – Present · 1 yr 8 mos · Palo Alto, California, United States

I build the Monetization ML models at Snap.

Tiktok

2 roles

Senior Machine Learning Engineer

Promoted

Jan 2024 – Oct 2024 · 9 mos · Hybrid

Part of the TikTok Recommendations Team, I play a pivotal role in shaping user experiences through cutting-edge recommendation systems. Focused on enhancing the Core recommendations, Ecommerce Recommendations, Coldstart and Publish ecosystem, I leveraged advanced machine learning techniques and data-driven insights to optimize content discovery for millions of users worldwide.

Machine Learning Engineer II

Jan 2023 – Dec 2023 · 11 mos · Hybrid

Part of the core recommendation team, designing machine learning systems for content recommendation. The core recommendation team sits at the center of TikTok's rapid DAU and total usage growth. Working on Machine Learning for all recommendations - from short videos recommendation on the Tiktok "For You" page to account recommendation for users to discover creators and friends.