CV
Selected experience, publications, and links to a downloadable CV.
Contact Information
| Name | Vijay Gohil |
| Professional Title | Machine Learning Engineer |
| vrajgohil130@gmail.com | |
| Website | https://vijaygohil.com |
Professional Summary
Machine learning and computer vision engineer working on production perception systems and research in vision interpretability. My recent work spans multiview 3D geometry, pose estimation, object detection, and sparse autoencoders for vision transformers.
Experience
-
2023 - present San Francisco, CA
Machine Learning Engineer
2K Games / Visual Concepts
- Build machine learning systems for real-time game production workflows.
- Work across object detection, pose estimation, multiview geometry, and animation-related tooling.
-
2025 - present New York, NY
Visiting Researcher
NYU AI4CE Lab
- Research on representation learning and interpretability for vision transformers.
-
2022 - 2022 New York, NY
Data Science Instructor
New York University
- Taught Foundations of Data Science to large graduate and undergraduate cohorts.
- Covered SQL, Python, data analysis, supervised learning, and model evaluation.
-
2022 - 2022 New York, NY
Machine Learning Engineer
Grubbrr
- Built a computer-vision self-checkout system for retail environments.
- Improved model robustness and deployment performance across detection and classification pipelines.
-
2020 - 2021 Mumbai, India
Machine Learning Researcher
Dwarkadas J. Sanghvi College of Engineering
- Worked on fine-grained plant disease classification with large-scale image datasets.
- Built preprocessing, augmentation, and hyperparameter search pipelines to improve accuracy and convergence.
-
2019 - 2019 Mumbai, India
Research Engineer
Indian Institute of Technology Bombay
- Developed tooling for image annotation, feature extraction, and vehicle classification experiments.
- Built cross-platform workflows to move models and datasets between MATLAB and Python environments.
Education
-
2021 - 2022 New York, NY
-
2016 - 2020 Mumbai, India
BE
Dwarkadas J. Sanghvi College of Engineering
Electrical and Computer Engineering
Publications
Skills
Machine Learning (Advanced): PyTorch, Representation learning, Model evaluation, Training pipelines
Computer Vision (Advanced): Object detection, Pose estimation, Multiview geometry, 3D reconstruction
Engineering (Advanced): Python, Experiment tooling, Data pipelines, Production ML systems
Interests
Research Interests: Mechanistic interpretability for vision models, Sparse autoencoders, Multicamera 3D understanding, Representation learning
Invited Talks
Ai4 2025: Invited speaker on AI in practice and industry applications at Ai4 2025 in Las Vegas.