MUHAMMAD QASSIM

Welcome to my portfolio, where technology meets creativity, and problems find solutions. I'm dedicated to software development and innovative projects, driven by the belief that technology can transform ideas into reality.

Feel free to shoot me an email at Muhammad@Qassim.dev. I'd love to connect!

  • Intro
  • EDUCATION
  • EXPERIENCE
  • PROJECTS
  • Contact

Intro

This is the personal website of Muhammad Qassim. I am currently studying Computer Science at Texas State University. I absolutely love learning about new technology and how it works, and I hope to one day use my knowledge to help others in meaningful ways. Outside of school, I enjoy spending time with my friends and family, going on hikes, and playing video games.

I really enjoy coding and am proficient in several languages, including C++, Python, Go, HTML, and CSS. I find it extremely rewarding to take complex problems and break them down into manageable pieces of code that work together to create efficient solutions. It's also gratifying to see the end result of my efforts when everything comes together and functions as intended.

I am currently leading the development of Research Buddy AI, an AI-powered research assistant designed to generate comprehensive summaries and insights from multiple sources. This project leverages Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuned Large Language Models (LLMs) to structure outputs effectively. Additionally, I am integrating tools such as Semantic Scholar, GitHub, Pinecone, and PDFMiner for advanced data retrieval and summarization. Research Buddy AI is being built with efficiency and scalability in mind, utilizing Databricks for data preprocessing, model fine-tuning, and batch inference. This project has the potential to significantly enhance the research process by streamlining information gathering and synthesis for students, academics, and professionals alike.

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EDUCATION

Bachelor of Science in Computer Science - 2022 - 2025 - Texas State University - San Marcos, TX

  • GPA: 3.80 / 4.00 | Major GPA: 3.93 / 4.00
  • Honors: Member of the Honors College; Dean’s List (3 of 4 semesters for GPA > 3.5)
  • Relevant Coursework: Intro to Machine Learning, Object-Oriented Programming, Software Engineering

Associate of Science in Computer Science - 2020 - 2021 - Skyline College - San Bruno, CA

  • GPA: 3.83 / 4.00
  • Honors: Dean’s List (3 of 3 semesters)
  • Relevant Coursework: Assembly Language, Intro to iOS Development, CS Foundation I

Certifications

  • Microsoft Certified: Azure AI Fundamentals - Nov 2024
  • Oracle Cloud Infrastructure: 2024 Generative AI Certified Professional - Jul 2024
  • Oracle Cloud Infrastructure: 2023 AI Foundations Associate - Jul 2024
  • Artificial Intelligence Certificate: Presidential Initiative for AI & Computing (2020 - 2022)
  • HTML5 & CSS3 Certificate: CodeWithMosh.com (2021)
  • Complete Python Mastery Certificate: CodeWithMosh.com (2021)
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EXPERIENCE

Undergraduate Instructional Assistant - Sep 2024 – Present - Texas State University - San Marcos, TX

  • Provided constructive, detailed feedback to help students enhance their coding and problem-solving skills, facilitating their learning and development.
  • Refined skills in analyzing complex technical work, fostering attention to detail, and enhancing communication skills by breaking down complicated programming concepts for student understanding.

IT Support Specialist - Sep 2020 – Mar 2022 - Ministry Of Finance - Kuwait City, Kuwait

  • Achieved a 75% reduction in customer issue resolution time through the effective utilization of the organization's software and hardware.
  • Managed and organized the creation of 100+ new user accounts in Active Directory, ensuring each account was properly configured and secure.
  • Created and managed shared folders on the Windows server.
  • Managed the creation and onboarding of 100+ employees' email accounts in the Office 365 portal, resulting in a streamlined and organized communication system.

Software Intern - April 2022 - April 2022 - H-Tech - Hawalli, Kuwait

  • Assisted in identifying common issues faced by new users, leading to a 10% decrease in customer support inquiries related to these issues within the first two weeks.
  • Created user-friendly documentation and training materials for common software issues, reducing the average resolution time for these issues by 15% within the first three weeks.

Software Intern - Feb 2022 - Feb 2022 - VR Mania - Al Rai, Kuwait

  • Assisted in the maintenance and management of hardware and software infrastructure for a cross-functional team of 15, contributing to uninterrupted operations and system efficiency.
  • Collaborated on problem-solving efforts, which led to a 20% reduction in problem resolution time, enhancing team productivity during the internship.
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PROJECTS

Research Buddy AI

  • Developing an AI-powered research assistant to generate comprehensive summaries and insights from multiple sources.
  • Leveraging RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuned LLMs for structured outputs.
  • Integrating tools and APIs like Semantic Scholar, GitHub, Pinecone, and PDFMiner for data retrieval & summarization.
  • Utilizing Databricks for data preprocessing, model fine-tuning, and batch inference to ensure efficiency and scalability.
  • Languages & Technologies: Python, LLMs, RAG (Retrieval-Augmented Generation), Databricks, Pinecone, Semantic Scholar API, GitHub, PDFMiner
  • GitHub: TBD

HealthVista - Health Management Web Application

  • Developed key features including user authentication, payment integration, and a personalized dashboard using React, Flask, and MongoDB.
  • Designed an AI therapist chatbot using OpenAI API with moderation capabilities to redirect users to helplines.
  • Implemented a nutrition tracker using API Ninjas, providing users with accurate nutritional information and data storage capabilities.
  • Languages & Technologies: React, Flask, MongoDB, OpenAI API
  • Bitbucket: LINK

DDoS Detection Model

  • Developed a machine learning-based DDoS detection system with 99% recall, optimizing detection of subtle attack patterns.
  • Conducted rigorous data preprocessing, including feature selection and MinMaxScaler normalization, to ensure balanced model training.
  • Identified protocol-agnostic features using exploratory data analysis and feature importance techniques.
  • Languages & Technologies: Python, Machine Learning
  • GitHub: LINK

Bluff Card Game - Web-Based Multiplayer Application

  • Developing a real-time, web-based Bluff card game with multiplayer functionality using React, Flask, and MongoDB, with Firebase for secure authentication and game lobby management.
  • Implemented game-state synchronization to ensure smooth, responsive gameplay, allowing users to play with friends or against the computer.
  • Languages & Technologies: React, Flask
  • GitHub: LINK

MERN Book Library Management System

  • Developed a full-stack library management application using MongoDB, Express.js, React, and Node.js (MERN stack)
  • Implemented features including book addition, search functionality, and check-in/check-out system with RESTful API endpoints
  • Languages & Technologies: MERN stack
  • GitHub: LINK

T20 World Cup Matches Predictor

  • Developed a machine learning model to predict T20 World Cup match outcomes, achieving 64% accuracy using Gradient Boost algorithms
  • Implemented data pipeline including JSON parsing, data cleaning, and feature engineering to create an effective prediction model
  • Languages & Technologies: Python, Machine Learning
  • GitHub: LINK

Guidance Control Software

  • Created guidance control software for a versatile robotic guidance platform using C++, contributing to the precise and reliable control of robotic systems.
  • Language: C++
  • GitHub: LINK

ARM Machine Code Disassembler

  • Reverse machine code to ARM assembly instructions.
  • Language: Golang
  • GitHub: LINK

ARM Datapath Simulator

  • Execution simulation (non-hazard) of five-stage datapath.
  • Language: Golang
  • GitHub: LINK

ARM Superscalar Pipeline Simulator

  • Simulation of a complex pipeline including handling hazard detection and mitigation, fully associative cache operation, and arbitrary memory location load/store.
  • Language: Golang
  • GitHub: LINK

Business Landing Page

  • Designed and crafted a fully responsive landing page for businesses utilizing HTML5, CSS3, and JavaScript, ensuring an engaging and user-friendly online presence.
  • Languages & Technologies: HTML5, CSS3, JavaScript
  • GitHub: LINK
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Contact

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©2024 Muhammad Qassim.