Divakar Verma

        I carry 3 years of demonstrated work experience as an Applied (Research) AI engineer in the domain of imaging and speech projects. I worked at the intersection of research and application of Deep Learning models into production. My work involved reading research papers and writing optimized code for in-house products, keeping the running latency and memory consumption in check.

I'm fascinated by the unprecedented results achieved using AI to some of the most challenging problems in the world. I aim to contribute further to the AI-driven future with my theoretical knowledge and my corporate engineering exposure.

Being a visual learner, I often draw or visualize the concepts for better understanding and to explain it to my peers. My broad interests are in: Deep Learning, Generative models, Unsupervised learning, Computer Vision, Speech, Computational Imaging.

Work Experience
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( 3 years )

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2020-2021

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Applied ML Engineer | SDE-2

Automated Speech Recognition (ASR) team.

Worked on in-house speech recognition model for Hindi language.

2018-2020

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Senior Software Engineer | Vision Research

AI based Image HDR for phone camera (Computational Imaging).

Worked on Image enhancement using Deep Learning model. Single image HDR construction.

  • Customised architecture trained using un-paired images.

  • Achieved high quality image outputs with low latency.

Software Engineer | Intelligent Camera

Worked on multiple projects for smartphone camera.

 

Education

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2021-2023

Rutgers University,
New-brunswick

Masters in Computer Science

  • Upcoming MSCS student with focus in AI & Deep Learning.

BITS Pilani,

Pilani

2014-2018

B.E. (Hons.) in Computer Science

  • Undergraduate Research Thesis at the University of Melbourne, Australia.

  • Teaching assistant - CSF111 Computer Programming

  • President, ACM student chapter of BITS

  • Graduated in First Division

 
 
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Skills

C/C++

Deep Learning

Tensorflow

Pytorch

Python

Programming

DSA

Git

Linux

Creative
Thinking

Lateral
Thinking

Visualization

Designing

Powerpoint
Presentation

Analogical
Thinking

 
 

Past Highlights & Achievements

  • (2020) [Link] Global patent accepted. A novel technique & applications of capturing slow motion based videos and images.

  • (2019) Paper publication; main author. "Deep Demosaicing using ResNet-Bottleneck architecture"

  • (2019) Software coding competency. Achieved Professional-level coding competency across global Samsung R&D centers.

  • (2019) Badminton Gold medal, Samsung sports tournament. Represented my team for the singles matches.

  • (2018) Winner, ExxonMobil Hackathon. Developed novel system to identify images with rule-compliant signage for logo detection & geotagging - all with a simple web portal (PPT).

  • (2017) Undergraduate Research Thesis at the University of Melbourne, Australia.

  • (2014) Merit certificate in Mathematics. Top 0.1% of national candidates with 100/100 in Mathematics in the senior secondary board of India.