About Me

I am a senior pursuing a Bachelor's degree in Computer Science with a Minor in Mathematics at the University of Houston. My academic journey has provided me with a strong foundation in programming, algorithms, and data structures, with proficiency in languages such as Java, Python, and C++. Complementing this, my minor in Mathematics equips me with valuable analytical and quantitative skills that enhance my problem-solving abilities in the field of technology.

Driven by a passion for innovation, I actively seek opportunities to apply my knowledge. Through coding competitions and hackathons, I've honed my teamwork and rapid problem-solving skills. I am eager to contribute this enthusiasm and my technical competencies to a dynamic and collaborative environment, as I continue to learn and grow as a future professional in the intersection of computer science and mathematics.

Skills

Experience

Education

  • C++
  • Python
  • Java
  • HTML
  • CSS
  • Javascript
  • React
  • Swift
  • Typescript
  • NoSQL
  • Flask
  • C#
  • SQL
  • Node.js
  • Express.js
  • R
  • MongoDB
  • Microsoft Azure
  • June 2024 - August 2024
    Security Data Analytics Extern at Webacy
  • May 2023 - August 2023
    Software Engineering Intern at Kamlesh Enterprises
  • 2021 - 2024
    University of Houston pursuing a BSc in Computer Science

Projects

Typescript, React, SQL Server, .NET Framework, Microsoft Azure

Theme Park Database

Designed and developed the backend API using the .NET framework, enabling seamless communication between the frontend and the database. Utilized SQL Server for efficient data storage and retrieval, ensuring data integrity and performance.

Python, JavaScript, React.js, Flask

Stock Price Data Interface

Developed and deployed a real-time dashboard for monitoring and visualizing stock price data using Python, React, and JP Morgans internal Perspective API. Implemented data visualization for efficient rendering of financial data using React and JavaScript ensuring real-time updates. Integrated backend services with a Flask API to retrieve and process stock price data, optimizing performance and minimizing latency for real-time financial analysis.

C++

Multi-threaded Huffman Tree Decoder

The program employs POSIX threads to parallelize the encoding and decoding processes of Huffman binary trees, maximizing efficiency and speed. By harnessing multiple threads, it ensures optimal CPU utilization while compressing or decompressing data using the Huffman algorithm.

For more projects, visit my GitHub:

github.com/aliyanmomin

Contact Me

aliyanmodi2003@gmail.com

832-847-3150

Resume