Bhavin Jawade — AI Researcher
I am a Research Scientist at Netflix Research, where my work focuses on the frontier of Multimodal Large Language Models (mLLMs), Reward Modeling, and Reasoning. I am dedicated to building intelligent systems that perceive and reason across audio, visual, and textual data with human-like nuance—advancing the state-of-the-art in machine translation, content understanding, and grounded AI agents. I completed my Ph.D. at the University at Buffalo, where my research focused on developing novel architectures for multimodal and contrastive learning. My work has been featured at top-tier venues, including NeurIPS 2024, where I introduced ProxyFusion for efficient feature aggregation through sparse experts. I also authored CoNAN, which received the IEEE Best Paper Award at IJCB 2023, and developed SCOT (WACV 2025) and NAPReg (WACV 2023) to advance zero-shot compositional retrieval and semantically aware cross-modal embeddings. Prior to joining Netflix full-time, I honed my expertise through research residencies at Adobe Research and Yahoo Research, where I designed pre-training strategies for large-scale foundational models. My journey from a Software Engineer to a Research Scientist is defined by a consistent track record of moving from complex theory to production-scale impact, resulting in multiple patents and high-impact publications across computer vision and NLP. Beyond the lab, I am committed to the broader AI community, currently serving as an Area Chair for ICASSP 2026. I am also actively hiring Research Interns for Summer 2026 at Netflix Research; if you are interested in pushing the boundaries of multimodal learning and generative AI, I’d love to connect.
Stackforce AI infers this person is a leading expert in AI and machine learning, specializing in multimodal systems.
Location: San Francisco, California, United States
Experience: 7 yrs 8 mos
Skills
- Natural Language Processing (nlp)
- Deep Learning
- Distributed Systems
- Machine Learning
- High Performance Computing (hpc)
- Research Skills
- Video Generation
Career Highlights
- Expert in Multimodal Large Language Models and AI.
- Award-winning researcher with multiple patents.
- Strong background in deep learning and computer vision.
Work Experience
Netflix
Research Scientist (1 yr 4 mos)
Research Scientist Intern (8 mos)
Yahoo
Research Scientist Intern (1 yr 1 mo)
Adobe
Research Scientist Intern (7 mos)
University at Buffalo
Research Assistant (Ph.D. Scholar) (2 yrs 3 mos)
Student Assistant (3 mos)
The State University of New York
Research Assistant (M.S. Scholar): Center for Unified Biometrics and Sensors (CUBS) (1 yr 2 mos)
Persistent Systems
Machine Learning Engineer (5 mos)
Software Engineer - Machine Learning (1 mo)
Indian Institute of Technology, Madras
Research Intern (1 mo)
Developer Circles from Facebook
Co-Lead Facebook Developer Circle Indore (1 yr 2 mos)
#include SGSITS
Founder and Head of SGSITS Techno-Learning Club (1 yr 5 mos)
CodeChef
Student Representative (1 yr 5 mos)
Microsoft
Microsoft Student Partner (1 yr 11 mos)
i5 Summit - IIM Indore
Campus Ambassador (6 mos)
WittyFeed
Intern (FullStack developer) (3 mos)
Web Developer Internship (2 mos)
Vatsana
Web Development Intern (3 mos)
E Cell SGSITS
Head Of Design (2 yrs 3 mos)
Yan aeromodelling club SGSITS
Vice-Captain (1 yr 7 mos)
Education
Doctor of Philosophy - PhD at University at Buffalo
Master of Science - MS at University at Buffalo
Bachelor's degree at Shri G S Institute of Technology & Science
12th at S.T. Paul H.S. School Indore
