Anisha Gunjal
Machine Learning Research Engineer at Scale AI
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolAnisha Gunjal is a Machine Learning Research Engineer with eight years of experience specializing in computer vision, NLP, and reinforcement learning, currently driving research on reasoning and agents at Scale AI. She holds an MS in Computer Science from UT Austin and has a track record of research roles across academia and industry, including a AAAI 2024 publication on preventing hallucinations in vision-language models. Her background spans end-to-end ML work from deep learning internships to production-focused engineering at HyperVerge, blending rigorous research with practical deployment. Based in Sunnyvale, she brings both academic rigor—mentored by noted professors—and hands-on experience building and evaluating models that address real-world robustness challenges.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at AustinBachelor of Engineering - BE, Computer Science, GPA: 3.86/4.0, Bachelor of Engineering - BE, Computer Science, GPA: 3.86/4.0 at Pune Institute of Computer Technology
Stackoverflow
1reputation
0reached
0answers
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Github Skills (16)
visual-question-answering10
computer-vision6
benchmarking6
image-text6
benchmark6
simulator5
deep-learning5
vision-and-language4
graph4
representation-learning4
alfred4
multi-agent3
reinforcement-learning3
jekyll-theme3
transformers2
Programming languages (2)
Github contributions (5)
anisha2102/sketch2face
Oct 2017 - Dec 2017
Contributions:13 commits, 12 pushes, 1 branch in 2 months
anisha2102/docvqa
Jul 2020 - Jul 2020
Document Visual Question Answering
Contributions:8 commits, 1 PR, 8 pushes in 13 days
visual-question-answeringcomputer-visiondeep-learningdocument-analysis
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