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aht/README.md

Hi there πŸ‘‹

πŸ˜„ I'm a software engineere & data scientist. I built innovative tools to democratize data science & machine learning.

πŸ’¬ Ask me about DL/ML/dataviz & distributed system

🌱 I’m looking to collaborate on SWE/ML/data for social good

🌱 I’m currently learning about real-time data architecture, AI/tech ethics, EV/battery, sustainability

πŸ’¬ How to reach me: @climate_dad

πŸ˜„ Pronouns: he/him

πŸ”­ At Panasonic, I built an automated deep learning (AutoML) system for time-series & IoT data, which can train/tune DL models on ~1B data points. Helps data scientists train/tune LSTM, ResNet, Self-Normalizing Networks & Mixture Density Network on data from S3/Parquet with zero sweats :)

πŸ”­ At Arimo (a top-ranked data science startup per FastCompany), I built an "Alexa for big data analytics" system which can answer questions & visualize large datasets https://youtu.be/3RQDQApgz-4?t=225 (demo ~ 3:45) using Apache Spark, NLP & statistical graphics best practice & d3.js.

πŸ€Ύβ€ Played with distributed deep learning https://github.com/adatao/tensorspark before Horovod, Ray or tf.distributed comes around. I was not a principal instigator in this project but I provided support & optimization.

πŸ€Ύβ€ I contributed to Golang in the early days, like 10 years ago :). It's an efficient sieve of Eratosthenes using CSP channels that Rob Pike wants to keep as a demo/test use case in the main source code as it's quite an interesting concurrent system https://github.com/aht/gosieve.

πŸ€Ύβ€ Some Python hacking back in the days while I had lots of free time fork-exec and pipe with I/O redirection, Lazily-evaluated, parallelizable Python pipeline, Agents and functions that modify Python sequences in-place

πŸ€Ύβ€ I wrote a toy LISP interpreter that support prefix/postfix & infix op just to annoy LISP people https://github.com/aht/olisp

πŸ€Ύβ€ An esoteric programming gem: a self-hosting Fractran interpreter in 84 fractions. This was one of those things for which the space available is really too small to explain everything...

🌱 I gave talk on "Visualization as Data and Data as Visualization" at Strata Hadoop World 2016. As a father of a little girl, I dived into a data-driven story about women stopping coding since the 80s and imagined a world where data & visualizations are easily sharable & infinitely collaborative.

🌱 I gave a talk on "Concurrent programming with Go" circa 2011

🌱 I gave a talk on "whatis git" the stupid content trackercirca 2012

Pinned Loading

  1. adatao/tensorspark adatao/tensorspark Public archive

    TensorFlow on Spark

    Python 297 98

  2. stream.py stream.py Public

    Lazily-evaluated, parallelizable Python pipeline.

    Python 96 12

  3. gosieve gosieve Public

    An efficient sieve of Eratosthenes using CSP channels in Go

    Go 31 3

  4. whatisgit whatisgit Public

    a presentation about git, the stupid content tracker, for the novice and the semi-experience git user

    JavaScript 11 4

  5. barcamp2011-gonuts barcamp2011-gonuts Public

    barcamp2011 saigon presentation about golang, with sample code

    JavaScript 1

  6. extproc extproc Public

    fork-exec and pipe with I/O redirection -- make Python a sane alternative to non-trivial shell scripts

    Python 14 1