Vaishnavi Khindkar
Machine Learning Engineering Intern at sync. labs
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolVaishnavi Khindkar is a Computer Vision master's student at Carnegie Mellon University and a Machine Learning Engineering Intern focused on applied video generative AI and lip-sync pipelines. With nine years of experience spanning academia and industry, she builds object-centric 4D reconstruction systems and explores diffusion/flow-based generative models, lifted representations, and reward-tilted sampling. Her research blends mathematical rigor and creative modeling—recent work includes synthetic-data diagnosis for aerial detectors and slot-based adapters over frozen geometric backbones for dynamic multi-view scenes. Previously a junior research scientist at IIIT Hyderabad, she published on pedestrian intent prediction and domain-adaptive detection, and she has practical production experience from roles at Sync Labs and Barclays. Driven by curiosity, she aims to create safer, more reliable embodied AI that generalizes from structured generative priors to real-world perception tasks.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Savitribai Phule Pune UniversityMaster of Science - MS, Computer Vision, Master of Science - MS, Computer Vision at Carnegie Mellon University
Github Skills (41)
generative-adversarial-network9
image-manipulation9
cyclegan8
computer-graphics8
image-translation8
pytorch7
computer-vision7
deep-learning6
image-generation6
gpu6
sample-data5
inference5
machine-learning5
image-processing5
tla4
Programming languages (3)
Github contributions (5)
Vaishnvi/vaishnvi.github.io
Jul 2020 - Jul 2026
Contributions:32 pushes, 1 branch in 6 years 1 month
Vaishnvi/ILLUME
Oct 2021 - Dec 2022
Contributions:40 commits, 27 pushes in 1 year 1 month
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