Who Am I

Namaste! My name is Akshay and I'm currently pursuing my Masters with Machine Learning Specialization at the College of Computing, Georgia Tech. I've been programming since 9th standard and I love every aspect of it (Even the debugging part :p). I love contributing to interesting Open source projects and turning my ideas into reality. I work on a wide variety of technologies ranging from Full Stack Web development to Artificial Intelligence. In my free time, I work on semantic web related tools at HydraEcosystem.org, and mentor students for Google Summer of Code and Udacity Nanodegrees. I'm always open to an interesting discussion, shoot a mail at xadahiya[at]gmail.com .

Timeline
2020
  • Joined the Jack Watson Counter Plagiarism research team at Georgia Tech lead by Dr. Thad Starner
  • Started serving as Organization Admin and Mentor in Google Summer of Code 2020 for Hydra Ecosystem
  • Finished Deep learning for coders by fast.ai
  • Finished Deep Learning Nanodegree from Udacity
  • Finished CS 6476 (Computer Vision)
  • Finished Computer Vision Nanodegree from Udacity
  • Started CS 8803 - AI, Ethics, and Society
  • Started PUBP 6725 - Info Security Policies
  • ...
2019
  • Started serving as Organization Admin and Mentor in Google Summer of Code 2019 for Hydra Ecosystem
  • Finished MIT 6.042 - Mathematics for Computer Science by Tim Leighton
  • Started MS in Computer Science at Georgia Tech
  • Finished CS 6242 (Knowledge based AI)
  • Finished CS 6242 (Data and Visual Analytics)
  • Finished CS 6200 (Graduate Introduction to Operating systems)
  • Finished CS 6601 (Artificial Intelligence)
  • Finished CS 7641 (Machine Learning)
  • Attended the Google Mentor Summit in Munich, Germany
2018
  • Left the job at Fidelity International to study full-time
  • Got accepted into Georgia Tech's Masters program
  • Gave my first talk at Pycon India 2018(slides here ) on Semantic Web and Hydra
  • Served as Organization Admin and Mentor in Google Summer of Code 2018 for Python HYDRA
  • Started working as Graduate Programmer at Fidelity International
  • Graduated from college (B.Tech in Electronics and Communication Engg.)
  • Started mentoring students for Deep Learning and React Nanodegree along with the Full Stack Nanodegree.
  • Started learning AI and ML more seriously
  • Finished Algorithms specialization (2 courses) by Tim Roughgarden (Stanford)
2017
  • Released final version of Typingeek
  • Completed Google Summer of Code 2017 under Python Software Foundation
  • Started working as a Classroom Mentor & Project Reviewer at Udacity for Full Stack Nanodegree
  • Got Linux Essentials certification from Linux Academy
  • Graduated Udacity's React Developer Nanodegree program
2016
  • I kept on working on Typingeek simultaneously. I Learned a lot about startups, user research, UX design, MVP designing, Lean methodology, marketing, deploying web servers and a ton of other stuff.
  • Finished FullStack Developer Nanodegree from Udacity
  • Finished Front-end Web Developer Nanodegree from Udacity
  • Finished Udacity's Tech Entrepreneur Nanodegree from Udacity
2015
  • Founded Typingeek (It started as a personal project. I wanted to improve my typing speed, tried using the platforms available at that time but didn't like any of those. So, I started working on my own typing platform)
  • Finished MIT 6.00.2x - Introduction to Computational Thinking and Data Science, Edx
  • Finished MIT 6.00.1x - Introduction to programming using Python, Edx
  • Finished Introduction to Linux by Linux Foundation, Edx

Some of the things I've worked on in the past P.S. - These are not ordered in any way. Web Semantic Web GRPC Protobuf React Django D3.js Linked Data Redux JSON-LD Web Sockets Hydra Linux Server Management JavaScript React Native Graphql 60FPS Rendering Google App Engine Flask Bootstrap SEO Jekyll Web Crawling Artificial Intelligence TensorFlow Keras Pytorch fastai Numpy Pandas Sklearn Clustering Component Analysis Regression Boosting Random Forests Directed and Undirected Search Zero Sum game playing CSPs Zero Sum game playing Bayes Nets Gaussian mixture model Knowledge based AI Policy Iteration Value Iteration TD Learning Expected Sarsa RL in Continuous Spaces Q-learning Deep Q-learing Actor-Critic Methods Writing Research papers Computer Vision Deep Learning Programming Languages Python C C++ JavaScript Haskell Databases PostgreSQL MySql Redis Other Operating Systems Pthreads Algorithms Data structures User Interface Design Story-telling Product Management Tableau Gephi Spark Hadoop Web Scraping Public Speaking User Research GIMP Inkscape Vagrant Functional Programming Unit testing Docker Linux Heroku Android Rooting and Modding Little Bit of Hacking :p
Books I like the most (unordered)
  • Zero to One by Peter Thiel
  • Weapons of Math Destruction
  • Artificial Intelligence : A Modern Approach
  • Deep Learning by Ian Goodfellow
  • Mathematics for Computer Science by Tim Leighton
  • Algorithms Illuminated Series by Tim Roughgarden
  • Reinforcement Learning by Richard Sutton
  • Hooked: How to Build Habit-Forming Products by Nir Eyal
  • Astrophysics for People in a Hurry by Neil deGrasse Tyson
  • The Lean Startup by Eric Ries
  • Evil by Design: Interaction Design to Lead Us Into Temptation by Chris Nodder
Github Activity
Loading the data just for you.