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Hey, I'm

Arsh Dauwa

Software Engineer at
AT&T

I'm a creative designer based in Houston, and I'm passionate about software development.

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AT&T

Software Engineer

Meet Arsh, a software engineer at AT&T and a proud graduate of The University of Texas at Austin, where he earned a bachelor's degree in Computational Engineering. With a strong foundation in engineering principles and a passion for coding, Arsh is committed to bridging the gap between theory and real-world application. He brings together technical expertise and creative problem-solving to build innovative software solutions, making a lasting impact in the world of technology and computational engineering.

Resume

Technical Skills

Programming Languages

Python

C++

Java

Javascript

MATLAB

Docker

SQL

Node.js

React

Flask

Linux

Kubernetes

Portfolio

Check Out My Work!

Learn more about the work Arsh has done and
the projects he is currently working on!

Securities Trading Bot

Python & QuantConnect

This project leveraged Python and QuantConnect to create a dynamic stock trading algorithm that identifies buy signals when prices break previous highs, while also adapting its strategy with changing market conditions. Remarkably, the algorithm consistently outperformed the S&P 500 by 3%, showcasing its ability to generate alpha and mitigate risks through adaptive techniques and trailing stop losses.

AI Sign Language Interpreter

Python, Google’s MediaPipe, Machine Learning

This project harnessed the capabilities of OpenCV and Google's MediaPipe to enable real-time, precise tracking of key points on the human hand, creating a groundbreaking sign language recognition system. By analyzing hand formations, it accurately translates sign language gestures into readable text, providing a powerful tool for bridging communication gaps for the deaf and hard-of-hearing.

ISS Tracker

Python, Linux, Flask

This project used Flask, API, and Docker to build a real-time web app that tracks the International Space Station. It retrieves key metrics, such as speed, location, and altitude, and converts coordinates into readable addresses. The app includes RESTful endpoints, error handling, and unit tests using pytest to ensure accuracy and reliability. Docker was used to containerize and deploy the app across environments.

Dynamic Memory Allocator

C, Python, Perl, Shell

This C programming project optimizes memory management by redefining malloc() and free() functions, introducing a linked list to efficiently manage free memory blocks, and implementing algorithms for improved allocation. It notably increased performance, averaging 1415.79 memory operations per millisecond and enhancing the system's efficiency and responsiveness by 20% compared to the standard approach.

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