Current note
I work on machine-learning code where the data is visual, spatial, or clinical.
At NYU Langone Health, I build research software around healthcare problems. I am also pursuing an M.S. in Computer Science through Georgia Tech.
Before that: machine-learning engineering at Woven by Toyota, GeoAI tooling at Esri, and research visits with Yuke Zhu and Mohamed Elhoseiny.
01
About
| Focus | Computer vision, robotics, geospatial deep learning, and healthcare research software. |
|---|---|
| Pattern | Mostly model training, evaluation, data preparation, and the glue code that keeps research work reproducible. |
| ArcGIS | Worked on the learn module of ArcGIS API for Python: data preparation, model training, and deep-learning workflows for GIS users. |
| Contact | divyanshj.16@gmail.com GitHub Twitter LinkedIn |
02
Work
| Period | Role | Organization |
|---|---|---|
| Aug 2024 - Present | Research Engineer | NYU Langone Health / healthcare research software |
| Dec 2021 - Jul 2024 | Machine Learning Engineer | Woven by Toyota / machine-learning engineering |
| Jan 2021 - Oct 2021 | Visiting Researcher | The University of Texas at Austin, with Dr. Yuke Zhu |
| Feb 2020 - Aug 2021 | Research Intern | King Abdullah University of Science and Technology, with Dr. Mohamed Elhoseiny |
| May 2019 - Nov 2021 | Data Scientist II | Esri R&D Center / deep learning for ArcGIS |
| May 2018 - May 2019 | Machine Learning Intern | Esri R&D Center / early GeoAI work |
03
Education
| Years | Program | Institution |
|---|---|---|
| 2024 - 2027 | M.S. Computer Science | Georgia Institute of Technology |
| 2015 - 2019 | B.Tech Electronics and Communication Engineering | Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University |
04
Writing
| Topic | Post | Notes |
|---|---|---|
| Generative modeling | Implementing SPADE using fastai | A hands-on implementation note for semantic image synthesis. |
| GeoAI | Swimming pool detection and classification using deep learning | Detection and classification work on geospatial imagery. |
| Computer vision | Not just another GAN paper - SAGAN | Notes on self-attention in generative adversarial networks. |
| Robustness | Tackling Adversarial Examples : Introspective CNN | A short read on adversarial examples and image classifiers. |