Hitansh Bhatt

About

I'm Hitansh Bhatt

I am a second year Electrical and Computer Engineering student at the University of Toronto intending to major in Software Engineering and minor in AI and Business. I am a developer with the University of Toronto Aerospace Team (UTAT) R&D subteam in the UAS (Unmanned Aerial Systems) subdivison. I am currently working on developing an algorithm to track the position of an UAS using the BN-220 GPS module, Mavproxy, and the MAVLink library for Python. I am also working on a project for the University of Toronto Sports Analytic Group (UTSPAN) to develop an algorithm that to scrape websites that provide cricket data - particulary fielding data - using the BeautifulSoup module for Python and store the data using the Pandas library. I am currently looking for 2023 Summer Internships

View my Resume

Interests

Programming

Interested in web development and ML (Machine Learning). I currently have 2 years of experience in Java, Python, and C. I also have experience coding in MATLAB, HTML, CSS, and JavaScript. I'm undertaking courses to learn basics of data science. I would like to build software solutions using computational and mathematical concepts that could benefit the society on a daily basis.

Engineering

As a student engineer, I am currently undertaking a variety of courses that provide me a valuable exposure to concepts branching to multiple engineering majors. I have always been interetsed in the mechanism of "why and how things work". "Engineering for the world" is something that inspires me to be a student engineer and pursue the field as a profession.

Aviation

I am a big aviation enthusiast. I enjoy plane spotting. I am interested in learning about aircraft systems such as hydarulics, avionics, flight control systems, etc. I would like to attain a PPL (Private Pilot's License) to be able to fly aircrafts for recreational purposes.

Skills

My creative skills & tools.

Programming languages: Java, C, C++, Python, MATLAB, Verilog, HTML, CSS, Javascript
OS: Linux
Design Tools: Logisim, LTSpice, ModelSim
IDEs: Visual Studio, Visual Studio Code, Eclipse, NetBeans
Other: Github, GitLab, Microsoft Suite, Quartus

VideoPad 100%

Java 90%

C 90%

Microsoft Tools (Word, Excel, PowerPoint, etc.) 90%

C++ 80%

Python 80%

MATLAB 75%

Verilog 70%

HTML 60%

CSS 60%

Personal Projects

XOR Encryption (C)

• Developed a program in C that performs encryption and decryption using the basis of XOR.
• Used data structures such as pointers, linked-lists, etc.to perform operations such as compression and decompression on encrypted strings.
• Used Valgrind to check for and correct memory leaks, and increase the efficiency of the code during the testing stage.

Matboard Bridge Design Simulation (Python, MATLAB)

• Developed code in MATLAB and Python to calculate sectional properties and output graphs for BMD’s and SFD’s to build a bridge made using matboard
• The code accurately predicted the failure load and the cause of the failure; Actual failure load: 431 N, predicted failure load: 405 N. Actual and predicted cause of failure: shear buckling
• Learnt to visually represent calculations via MATLAB

Semantic Similarity (Python)

• Developed an AI algorithm in Python to approximate the semantic similarity (closeness of their meanings) of any pair of words and accurately determine synonyms
• Learnt to efficiently write code as one of the requirements of the project was for the run-time to be lesser than a certain threshold.