# Devashish Shankar

> Staff ML Engineer @ Meta

Location: Sunnyvale, California, United States
Profile: https://flows.cv/devashishshankar

## Work Experience
### Staff Software Engineer @ Meta
Jan 2023 – Present | Sunnyvale, California, United States
Working on GPU Kernels (Triton / TLX / Cutlass / CuteDSL), New Hardware Optimization (e.g. Blackwell), Training Efficiency for large scale recommendation models.

Selected work:
- Built one of the first Jagged flash attention kernel widely deployed at Meta
- Key contributor to Generalized Dot Product Attention
- Blackwell optimization for Meta GEM model
- Co-created and led Ad's kernel library

### Founding Engineer, Principal Architect @ Drishti
Jan 2021 – Jan 2022
Leading ML@Drishti. We build cutting edge computer vision models for the factory floor. 

We are solving various exciting problems for productionizing state-of-the-art computer vision models. 
These include:
- Exploring promising research directions such as semi-supervised learning, few-shot learning, meta learning,  spatio temporal action localization, vision transformers, etc. 
- Building a Self Serve AI and MLOps platform to easily train and deploy models, continuously monitor and retrain models on mistakes for maintaining daily accuracy.

You can read/watch more about our work here:
* https://analyticsindiamag.com/how-drishti-empowers-deep-learning-in-manufacturing/
* https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31579/

### Founding Engineer, Data Scientist @ Drishti
Jan 2017 – Jan 2021 | Bengaluru, Karnataka, India
As a founding engineer, I worked on various problems across Drishti:
* I led the action recognition research from the beginning. We use state of the art deep learning models to do real time action recognition on the factory floor
* I developed models that can end to end learn large molecular actions from data - reducing the need of rule engines (heuristics)
* I designed and built Drishti's ML platform for continuous training and evaluation
* I designed and built Drishti Data Platform which collects all the NN generated data and builds views on top of it (Kafka, MongoDB, Bigtable)
* Led the Kubernetization of services at Drishti - helped teams move to CI/CD

### Data Scientist @ Flipkart
Jan 2015 – Jan 2017 | Bengaluru Area, India
Worked / Working on the following projects:
1. Deep Learning based Visual Similarity system for Flipkart. Arxiv Paper: (https://arxiv.org/abs/1703.02344) 
2. Neural Network Retail Modeling (For recommendations)

### SDE2 @ Flipkart
Jan 2014 – Jan 2015
Working on Social Sentiment Analysis, Review Mining, Email Categorization, and other NLP related problems. My approach to solving these problems is based on Deep Learning, a field which I'm very excited about. 
Gave a talk on "Deep Learning for NLP"​ at HasGeek's FIfth Elephant conference. https://fifthelephant.talkfunnel.com/2015/64-deep-learning-for-natural-language-processing

### SDE 1 @ Flipkart
Jan 2013 – Jan 2014
Building User Insights Engine, a system for deriving deep and meaningful insights about users by mining 100s of TBs of data. Presented a talk about this at SlashN, Flipkart's annual tech conference:

### Intern @ Flipkart
Jan 2013 – Jan 2013 | Bangalore
Worked on:
- Service Proxy, a high performance proxy for accessing distributed services: https://github.com/flipkart/phantom, 
- Trooper: https://github.com/regunathb/Trooper,
- Review Summarization: https://github.com/regunathb/Sift

Winner of the best intern award @ Flipkart, 2013


## Education
### Bachelor of Technology (B.Tech.) in Computer Science
Vellore Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/devashish-shankar

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Source: https://flows.cv/devashishshankar
JSON Resume: https://flows.cv/devashishshankar/resume.json
Last updated: 2026-04-12