# Divyang Teotia

> Deep Learning Engineer | Ex-Intel

Location: Santa Clara, California, United States
Profile: https://flows.cv/divyang

I have a Master of Science degree in Electrical and Computer Engineering from Northeastern University, where I conducted research on interpreting the internal representation of face-centric inference models. I also have a Bachelor of Technology degree in Electronics and Communication Engineering from Vellore Institute of Technology. My core competencies include deep learning and computer vision.

As a former Deep Learning Engineer at Intel Corporation, I led inference benchmarking analysis across multiple generation AMD CPUs, supported code development in the performance projection repository, and led performance benchmarking and analysis of automotive deep learning models on NVIDIA Jetson AGX Orin. As a Machine Learning Engineering Intern at Auxi, I developed an algorithm to extract objects from a slide and generate visual information flow signatures. I am passionate about applying my skills and knowledge to solve challenging problems and create innovative solutions that can benefit various industries and domains. I value collaboration, learning, and diversity, and I am eager to join a team that shares these values and offers opportunities for growth and development.

## Work Experience
### Senior Software Engineer - Perception @ Hayden AI
Jan 2024 – Present | San Francisco, California, United States

### Deep Learning Engineer @ Intel Corporation
Jan 2022 – Jan 2023 | Boston, Massachusetts, United States
1)	Led inference benchmarking analysis across multiple generation AMD CPUs to support future Intel product development.
2)	Supported code development in the performance projection repository to automate projections for multi-GPU configs and enabled device mapping.
3)	Led performance benchmarking and analysis of automotive deep learning models on NVIDIA Jetson AGX Orin across GPU and DLAs.
4)	Supported media analytics pipeline testing and benchmarking using NVIDIA Deepstream SDK for end-to-end solutions on NVIDIA GPUs.

### Graduate Research Assistant @ Augmented Cognition Lab, Northeastern University
Jan 2020 – Jan 2021 | Boston, Massachusetts, United States
Analyzing the deeper layers of various face models (facial recognition, age estimation, etc.) to identify interpretable units in layers that correlate to certain facial concepts that we assemble in our own Face Dictionary with thousands of images. Observing the subtle variations in the representations learned by these models and what parts of the face they focus on.

### Machine Learning Engineering Intern @ auxi
Jan 2021 – Jan 2021 | Boston, Massachusetts, United States
1)	Trained a BERT model to predict masked positional values of ~50% of objects in a slide to generate complete layouts from partial object placements. 
2)	Developed a variant of LayoutGAN to generate fully formatted and aligned layouts from noisy positional priors of objects.
3)	Developed an algorithm to extract objects from a slide and generate visual information flow signatures. Embedded the signatures via PCA and matched them to templates using cosine similarity.

### Deep Learning Engineer @ Arcturus Business Solutions Pvt Ltd
Jan 2017 – Jan 2019 | Noida Area, India
1)	Combined FRCNN with custom pose estimation to identify defects in insulators on transmission lines.
2)	Developed an image segmentation module for the detection of missing nuts and bolts in transmission towers. Used a classifier to eliminate 90% of the wrong predictions.
3)	Trained a customized variant of Google DeepLabs V3+ for segmentation of metal from images of transmission towers for rust detection.
4)	Created a safety tool by training a RetinaNet model on construction site images for generating safety alerts in unsafe situations.
5)	Created an automated transmission tower detection module for massive GeoTIFF satellite images to identify and geotag towers for future planning and management.


## Education
### Master of Science - MS in Electrical and Computer Engineering
Northeastern University

### Bachelor of Technology - BTech in Electonics and Communication Engineering
Vellore Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/divyang-teotia-195b02118

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Source: https://flows.cv/divyang
JSON Resume: https://flows.cv/divyang/resume.json
Last updated: 2026-04-01