Dhanashree Balaram
Email: dhanashree.balaram@gmail.com
Location: Fremont, California, USA
Phone: +1 (412) 294-6572
Career Objective
A competent and hardworking Machine Learning researcher with a Master’s degree and 5 years of applied research experience. My goal is to continue growing as a researcher in 3D Computer Vision while contributing to AI advancements in autonomous systems, computer vision, and generative modeling.
Skills
- Programming: Python, Pytorch, Keras, Pandas, NumPy, OpenCV, Scikit Learn, Matplotlib, C++
- ML/DL: 2D/3D Computer Vision, Self-supervised Learning, Bandits/Agents, Search & Recommendations
- Cloud Services: Google Cloud, AWS, ElasticSearch
Education
Carnegie Mellon University, Pittsburgh, PA
MS in Electrical and Computer Engineering — May 2018
PESIT Bangalore, India
BE in Electronics and Communication Engineering — June 2016
Work Experience
Volkswagen Innovation Center, CA — AI Engineer
Jan 2023 - Present
- Research and development of novel 3D point-cloud generation architecture using probabilistic diffusion models.
Lily AI (OneLook Inc.), Mountain View, CA — Senior Machine Learning Scientist
Jan 2022 - Dec 2022
- Worked on zero-shot learning using CLIP and ViT to improve fashion dataset classification.
ZEFR Inc., Los Angeles, USA — Senior Deep Learning Scientist, Computer Vision
Jul 2021 - Jan 2022
- Developed multimodal approaches to classify videos for explicit content.
Adobe Inc., San Jose, USA — Applied Machine Learning Research Scientist
Aug 2018 - Jul 2021
- Implemented ML microservices, worked with StyleGAN2, VAEs, and recommender systems for Adobe’s Intelligent Agents Team.
Posters/Talks/Features
- NeurIPS 2022 WiML Poster: The Role of Expert-driven Prompt Engineering for Fine-grained Classification in Fashion
- WomenTech 2022 Tech Talk: Recommender Systems and Women Shoppers
- Adobe Blog Feature: 5 Questions with Dhanashree Balaram, Applied Machine Learning Research Scientist
Publications
We can add your publications in the _data/publications.yml file. Example:
```yaml
- title: “The Role of Expert-driven Prompt Engineering for Fine-grained Classification in Fashion” authors: “Dhanashree Balaram, et al.” journal: “NeurIPS 2022” year: 2022 url: “link-to-paper”