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flix's Introduction

Hi there ๐Ÿ‘‹

I am Rutvij, a CS grad student at UT Dallas.

My specialization is in Intelligent Systems. Eventually, I would like to pursue a PhD in CS & work as a researcher.

Drop down each section to learn more about me!

Interests ...

My interests are far too wide ranging for me to ever catch up with them. Some of them are:

  • Machine Learning, especially Reinforcement Learning
  • Logic Programming & AI - automated reasoning!
  • Data Science, particulary the statisitcal & mathematical side of it.
  • Programming Language Design & Compiler Theory
  • Functional Programming - Haskell & Lisp in particular
  • Theory of Computation & Algorithm Design
  • Numerical Optimizaiton & Computational Geometry
  • System Programming - OSes, Databases etc.
  • GUI Programming (native apps) - MVC, UI/UX design

And thus I call myself a deluded dilettante!

๐Ÿ”ญ๐ŸŒฑ Iโ€™m currently working on and learning ...
  • Implementing the first interpreter in Crafting Interpreters using Python. The implement repo for PyLox.
  • Learning Lisp (Scheme) & a new way of looking at fundamentals of our craft from SICP. My notes.
  • Learning Go & making practical projects following prompts at Gophercises.
  • Grokking C language through the lens of its creators K&R2.
๐Ÿค” I'm looking forward to learning these in the near future ...
  • Learning Quantum Algorithms and Neural Net Mathematics this Fall!
  • Haskell - through a category theoric lens & revisiting LYAH before learning from new resources.
  • Reinforcement Learning & Neural Networks in greater depth.

Projects

Artificial Intelligence & Machine Learning
  1. Capstone project involving analysis of Transistor Load Pull Data for Qorvo. [Data Analysis]

  2. Custom implementation of Decisiton Trees as a part of a graduate ML course. [ML]

  3. Contact tracing data analysis [ML]

    • Custom implementations of Bagging & Boosting (adaBoost) ensembles on ID3 trees.
    • Custom implementation of a simple NN
    • Use of various sampling methods and a comparison of their effectiveness at addressing class imbalance.
    • Check out the Project Report for details!
  4. Statistical analysis projects using R Language as a part of a grad course. [Statistics]

  5. Lane Line Detection: Detecting lane lines on roads & stop signs using Open CV. [Computer Vision]

  6. Medial Axist Transform: Medial axis transform using Delaunay triangulations. MAT was used to demonstrate too of its applications, one, to compress shapes by reducing a dimension. Another, a computer vision cross-application to perform pattern matching and find similar shapes using path matching. [Computational Geometry & Computer Vision]

  7. Implementation of A* search using Python to solve 8-Puzzle game and comparison with other search methods.

  8. A Q&A system using Prolog, which can answer basic questions given an encoded description of a simplified real world environment. [Logic Programming]

  9. Flower Images Classification - Transfer learning on trained CNN models to classify flowers.

  10. Cheque Perspective Transform - A cheque scanning workflow with amount extraction using HTR.

iOS & GUI App Development
  1. Flix: An app that allows users to browse movies from the The Movie Database API. [iOS]
  2. TwitterClone: A basic twitter app to read your tweets, compose new tweets, and like + retweet timeline tweets. [iOS]
  3. Parstagram: An Instagram clone with a custom Parse backend that allows a user to post photos, view a global photos feed, and add comments. [iOS]
  4. Used PyQT as a part of my internship & for my DB course to build a contacts list app using OBDC (CRUD, triggers, text search etc.). [PyQT]
Database Engine
  1. An SQLite like DB, named RioDB, implemented as a part of a Database Design course.
C/C++ Programming
  1. Few examples created as a part of the coursework for an OS course
  2. Few more as a part of an Unix Programming Course.
Cybersecurity: Docker Wordpress vs Kali
  • As a part of a Cybersecurity course I took with Codepath, we created an airgapped system to learn and perform pentesting.
  • The course initially suggested the use of Vagrant to setup and maintain the VMs for testing (a Kali Linux instance and a WordPress server).
  • I replicated the process using Docker, making it easier & faster for first time learners to deploy the test enviroments with minimum fuss.
  • Also leveraging the light weight nature of containers to make the process less resource intensive.
HDL Programming
  • Built an 16-bit ALU using the Verilog HDL and an interactive simulation Logism.

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flix's Issues

Project Feedback!

๐Ÿ‘ Nice work! The point of this homework was to get a chance to implement a TableView (one of the most common views in iOS) and to work with real data over the network (in this case from the Movies Database API).

A key part of these projects is that you add additional features and tweak the UI / UX because that will provide the most learning opportunities. We encourage you to complete the projects early each week with the required stories and then spend time adding your own UI elements and experimenting with optional extensions that will improve the user experience.

We have a detailed Assignment 1 Feedback Guide which covers the best practices for implementing this assignment. Read through the feedback guide point-by-point to determine ways you might be able to improve your submission. You should consider going back and implementing these improvements as well. Keep in mind that one of the most important parts of iOS development is learning the correct patterns and conventions.

Check out the assignment grading page for a breakdown of how submissions are scored.

If you have any technical questions about the project or concepts covered this week, post a question on our Discussions Forum and mark the question as type, "Curiosity". For general questions email us at, [email protected].

Project Feedback!

We have a detailed Project 2 Feedback Guide which covers the best practices for implementing this assignment. Read through the feedback guide point-by-point to determine ways you might be able to improve your submission. While we won't be reviewing further revisions to this unit's submission anymore, you should consider going back and implementing these improvements as well. Keep in mind that one of the most important parts of iOS development is learning the correct patterns and conventions.

Check out the assignment grading page for a breakdown of how submissions are scored.

If you have any technical questions about the project or concepts covered this week, post a question on our Discussions Forum and mark the question as type, "Curiosity". For general questions email us at, [email protected].

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