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followers: 332.0 following: 746.0 repos: 154.0 gists: 12.0

Name: Sudeep Pillai

Type: User

Company: Autonomi AI, Inc.

Bio: Building ML infra @autonomi-ai | Ex-ML Engineering Lead @ToyotaResearchInstitute | CS PhD@MIT.

Twitter: sudeeppillai

Location: San Francisco, CA

Blog: spillai.org

Sudeep Pillai

Aspiring technologist, thinker, innovator.

Interests 🤓

TL;DR: Self-supervised visual intelligence in autonomous vehicles that learn from experience.
High-impact ventures leveraging ML/CV technologies in autonomous systems
Machine Learning, Computer Vision, Autonomous Vehicles/Robots etc

Work 💻

Jan 2022 - Present: Co-founder / CEO, ML infrastructure tools for Generative AI @ Autonomi AI
Jan 2020 - Mar 2021: Team Lead, Machine Learning Engineering @ Toyota Research Institute
May 2019 - Jan 2020: Manager, Machine Learning @ Toyota Research Institute
Oct 2017 - May 2019: Research Scientist @ Toyota Research Institute
May 2014 - Aug 2014: Research Intern @ Mitsubishi Electric Research Laboratories
May 2009 - May 2011: Computer Vision Developer @ PhaseSpace Motion Capture
May 2008 - Aug 2008: R & D Engineer Intern @ Segway Inc.

Education 🎓

2014 - 2017: Ph.D. in Computer Science @ CSAIL, MIT
- 📕 Thesis: SLAM-aware, Self-Supervised Perception in Mobile Robots
2011 - 2014: S.M. in Computer Science @ CSAIL, MIT
2005 - 2008: B.S.E in Mechanical Engineering @ University of Michigan, Ann Arbor

Invited Talks 🎙

TWIMLcon 2021: MLOps for High-Stakes Environments
ODSC West 2019: World-scale Deep Learning for Automated Driving
Auto AI 2019: World-scale Deep Learning for Automated Driving
NVIDIA GTC Silicon Valley 2019: Beyond Supervised Driving (jointly with Adrien Gaidon)
RE·WORK Deep Learning Summit Boston 2018: Self-supervision in Mobile Robots in the Deep Learning Era

Get in touch 💬

Ask me about ML Infrastructure, Autonomous Vehicles, Computer Vision, SLAM
Social media: Twitter, LinkedIn, Medium
Other links: Personal Site, CV / Resume, Google Scholar
Email: sudeep "dot" pillai "at" gmail "dot" com

Sudeep Pillai's Projects

.tmux

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️

addict

The Python Dict that's better than heroin.

agi-pack

A Dockerfile builder for Machine Learning developers

articulation_learning

http://people.csail.mit.edu/spillai/projects/learning-articulated-motions/

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-raspberry-pi

A curated list of awesome Raspberry Pi tools, projects, images and resources

bilateral_solver

Python code for the fast bilateral solver

bing-objectness

Detect bounding boxes of objects in images

boost-python-examples

Some examples for the use of boost::python

boost-python-tutorial

Working code from the "Embedding Python in C++ Applications with boost::python" tutorial

boost_numpy_eigen

A small example of using boost.python, boost.numpy and the C++ Eigen matrix library together

bpl

Bayesian Program Learning model for one-shot learning

caesar.jl

Robot toolkit: Towards non-parametric and parametric navigation solutions

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

clmtrackr

Javascript library for precise tracking of facial features via Constrained Local Models

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

conda-recipes-robot

Building/Packaging Robot/SLAM Libraries with conda

conda-recipes-slam

Building/Packaging SLAM Libraries with conda

conda-recipes-vision

Building/Packaging Computer Vision Libraries with conda

cpp-fuse

C++ fuse binding with simple API for creating in-memory files and symlinks.

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/