"Exploring the synergy between technology, innovation, and everyday life."
Greetings! I'm Dhruv, a senior Computer Science major with a minor in Mathematics at Texas Tech University, hailing from the vibrant hills of Lonavala, India. My journey in computer science is not just academic; it's a profound commitment to the transformative potential of technology. From early memories of deconstructing video games to pioneering my projects in AI and virtual reality, I am constantly driven by the quest to leverage technology for progressive change. My passion is deeply rooted in the belief that technology is not just a tool but a catalyst for creating meaningful human connections, solving intricate problems, and building a future where technology and humanity evolve together. Join me as I continue to push the boundaries of what's possible, fueled by curiosity and a relentless desire to make a significant impact on the world through innovation and software engineering.
August 2020 - December 2024
Pursuing a Bachelor’s Degree in Computer Science with a Minor in Mathematics at Texas Tech University, anticipated graduation December 2024. Recipient of the Presidential Merit Scholarship and consistently recognized on the Dean's Honor List.
2010 - 2020
Graduated from Cathedral Vidya School Lonavala with an International Baccalaureate diploma, achieving distinctions in academics and extracurricular engagements.
February 2023 - May 2024
2021 - 2022
Programming Languages: C, C++, C#, Python, JavaScript, HTML, CSS.
Relational Databases: Proficient in SQL, MySQL, and MongoDB.
Data Science & Frameworks: Skilled in using Data Structures, Numpy, Pandas, and Matplotlib.
Development Tools: Experienced with Visual Studio Code, Bootstrap, GitHub, Git, and AWS.
Interpersonal Skills : Effective communication, empathy, networking, and diplomacy.
Leadership : Proven management abilities, mentorship, and conflict resolution.
Adaptability : Creative problem-solving, Innovative, readiness to embrace challenges.
Discover the projects that have sharpened my technical skills and deepened my industry knowledge.
AlgoWhiz is an innovative educational AI tool designed to assist students in tackling complex algorithmic problems. Developed as a capstone project, this platform utilizes OpenAI's API, is coded in Python, and features a Flask-based interactive website, all crafted to provide real-time educational support and deepen understanding of algorithms and data structures.
Toby's Terror is a Unity-developed horror game featuring an advanced AI system capable of dynamic interaction with players. Utilizing AI navigation meshes and Finite State Machines, Toby, the AI character, adapts its strategies based on player actions. This project showcases my skills in AI development, problem-solving, and software engineering within the Unity environment.
The Valorant Discord Bot, developed for Hackwest 2023, is designed to enhance player experience by offering a suite of tools to improve gameplay. It provides dynamic in-game advice through commands like agent selection, strategic tips, and performance improvement tips. This bot is built using Python and Flask, integrating extensive use of SQL for database management, all deployed on Google Cloud Platform.
The DTMF Decoder is a specialized tool developed to interpret audio signals transmitted via telephone lines. It utilizes digital signal processing techniques, including the Fast Fourier Transform, to identify frequency pairs corresponding to each digit pressed on a telephone keypad. This project exemplifies my skills in Python, signal processing algorithms, and the practical application of FFT.
This showcases my deep understanding and practical implementation of essential data structures and algorithms. It includes work on linked lists, sorting algorithms like QuickSort and Insertion Sort, and their complexity analysis, demonstrating my ability to optimize and apply these structures efficiently in software development.
This covers a series of advanced projects from the Operating Systems course, including system-level programming and the application of complex algorithms in a real-world computing environment. Projects range from process scheduling, API communication, multithreading, to developing a complete Elevator Operating System scheduler. These projects demonstrate my proficiency in C/C++, system design, and critical thinking.
This collection of projects from the Parallel and Concurrent Programming course demonstrates my skills in developing and optimizing algorithms to run in a parallel computing environment. Highlights include implementing custom barrier synchronization, matrix operations optimization using MPI, dynamic load balancing, and efficient communication patterns in distributed systems. These projects exhibit advanced problem-solving in system programming, leveraging tools like MPI to enhance computational efficiency and accuracy in real-world applications.
The Ticket Booking System is a robust Java application designed to facilitate the reservation of tickets for various events including theaters, concerts, and sports games. The system features a dynamic user interface, seamless event selection, and efficient handling of user transactions, utilizing Java and SQL for backend operations and ensuring a user-friendly experience.
The Live Weather App is a dynamic web application designed to provide real-time weather updates. It connects to the OpenWeatherMap API to fetch and display weather data based on user-inputted locations. The app features a user-friendly interface and supports temperature conversions between Celsius and Fahrenheit. This project showcases my abilities in integrating APIs, handling asynchronous data, and enhancing user interaction with responsive web design.
The Shortest Path Finder is an essential tool that uses both Dijkstra's and Bellman-Ford algorithms to determine the most efficient routes between points on a graph. This project demonstrates the application of these algorithms in real-world scenarios, handling graphs with both positive and negative edge weights effectively. It showcases my ability to implement complex algorithms that solve practical problems in navigation and route optimization.
The Course Sequencer is a sophisticated tool designed to determine the optimal order of courses for Computer Science students based on prerequisites using topological sorting. This project employs Depth-First Search (DFS) to ensure that all courses are taken in the correct order considering their prerequisites. It showcases my proficiency in algorithm implementation, problem-solving, and creating tools that aid academic planning and course management.
The Search Engine Reliability project assesses the accuracy of search engine rankings through the innovative use of sorting algorithms to count inversions. This comparative analysis across multiple search engines showcases our data-driven approach to determine which search engine produces the most reliable and consistent rankings. By implementing and analyzing the performance of Merge Sort, Quick Sort, and Insertion Sort on ranking data, we've developed a robust methodology to evaluate search engine reliability effectively.
The Online Expense Tracker is a web-based application that helps users manage and track their grocery expenses effectively. Utilizing Flask for the backend, this tool offers features such as transaction recording, automated report generation, and interactive monthly expenditure reviews. It is designed to enhance financial planning with a user-friendly interface and real-time data visualization.
These lab assignments from the Programming Principles course cover a wide range of foundational programming tasks designed to build proficiency in C. From basic arithmetic operations to more complex data structures, these labs provide a practical, hands-on approach to understanding and applying programming concepts. Key labs include developing a tip calculator, calculating orbital speed, managing employee records, and implementing complex number arithmetic, among others.
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