Rushikesh Zawar — AI Researcher
Stackforce AI infers this person is a skilled AI and Media professional with a focus on deep learning applications.
Experience: 4 yrs 8 mos
Skills
- Video Production
- Deep Learning
- Machine Learning
- Reinforcement Learning
- Game Theory
- Bayesian Statistics
Career Highlights
- Expert in Deep Learning and Computer Vision.
- Experience in developing AI solutions for fraud detection.
- Strong background in video production and editing.
Work Experience
Adobe
Research Engineer (1 yr 4 mos)
Research Scientist/Eng Intern (3 mos)
Carnegie Mellon University
Researcher (2 yrs 7 mos)
Startup
Research Engineer (1 yr)
Harvard University
Research Collaborator (1 yr 8 mos)
Thesis (On site) (7 mos)
Amazon
Applied Scientist Intern (5 mos)
CSIR-CEERI
Parttime Intern (6 mos)
Massachusetts Institute of Technology
Research Intern (4 mos)
Tata Institute of Fundamental Research, Mumbai
Summer Intern (3 mos)
MapmyIndia
Intern (2 mos)
Department of Visual Media, BITS Pilani
Video Producer (10 mos)
Education
Masters in Computer Vision at Carnegie Mellon University
Thesis (M.Sc. and B.E.) at Harvard University
Bachelor of Engineering (Hons.) at Birla Institute of Technology and Science, Pilani
Master of Science in Biological Sciences at Birla Institute of Technology and Science, Pilani
at Deogiri College Chh. Sambhaji Nagar
at Holy Cross English High School, Aurangabad, Maharashtra.