Lakshya Gour Image
Lakshya Gour

Hey, My name is
Lakshya Gour

I invite you to explore my journey at the crossroads of computer science, mathematics, and creative innovation.

About Me Greetings! I'm Lakshya Gour, a devoted student navigating the realms of Computer Science and Mathematics. At the moment I am looking for software development, data science, data analyst, product manager, program manager, quantitative analyst, quantitative trader and other technical roles.

Get to know me!

I am an ambitious student captivated by unraveling algorithms, delving into the uncertainties of probability, and constructing elegant code structures. Beyond the screen, I'm an avid gamer, immersing myself in virtual worlds to sharpen strategic thinking and forge global connections. Sports, like soccer, volleyball, and badminton play an impactful role in my life, fostering teamwork and resilience. At my core, I'm a creator, driven by the exhilaration of turning ideas into reality. This portfolio encapsulates my journey—a fusion of logic and creativity that fuels my constant quest to innovate and explore. Join me in shaping the future through code, equations, and boundless imagination.

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Technical Skills

Java (JavaFX | FXML | AndroidXML)
Python (Pytorch | Tensorflow | Pandas | Numpy | Sci-kit | Flask)
JavaScript (Node | Express | React | Angular | Electron)
SQL ( MySQL | PostgreSQL )
MongoDB
C | C++
Linux | Windows | OSx
GIT
HTML
CSS

Education

Rutgers University School of Arts and Sciences

BS Computer Science Honors | Mathematics | Quantitative Economics Minor

Graduating December 2025
Relevant Coursework: Data Structures and Algorithms, Computer Architecture, Mathematical Theory of Probability, Linear Optimization, Linear Algebra, Intro to Mathematical Reasoning, Multivariable Calculus, Software Methodology, Introduction to Stochastic Processes, Design and Analysis of Computer Algorithms, Data mangement for Data Science, Elementary Differential Equations Introduction to Artificial Intelligence (Graduate Level), Principles of Information and Data Management (Databases), Introduction to Real Analysis, Introduction to Data Science

Projects & Ventures Step into the Projects section of my portfolio, where you'll discover a variety of my ventures, from coding projects and exciting tech innovations to competitions and events.

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Insider Trading Detection System

Developed an AI-enhanced system to detect suspicious insider trading by combining SEC data, stock price analysis, and LLM-generated trade explanations.

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AI-Powered Search and Navigation (Project Series)

As part of my coursework, I designed intelligent agent systems for dynamic, uncertain environments, progressively building and analyzing increasingly complex AI models. These projects spanned search algorithms, probabilistic reasoning, and machine learning-based predictions.

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Application Tracker

This is a project that I made in order to help me stay organized when it comes to applying for internships. I plan on implementing a system of parsing through emails using Natural Language Processing to handle status changes.

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Financial Analytics Hub

An application I made to bring all my financial projects into one space. This application serves as a comprehensive platform to showcase various tools and models designed to enhance financial analysis and learning.

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IMC Prosperity: Trading competition

This was a compeition I participated in to learn more about algorithmic trading to pursue passion for probability and to apply the skills I learned through my education in Computer Science and Mathematics.

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Photo Album: Java Application and Mobile Applicaiton

These two projects in my software methodology class were to help us learn more about using Java to make applicaitons and learn the best practices in the industry when developing programs. The second project was for us to take our Java applicaiton and convert it to an android application.

Coming Soon...
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Monte Carlo Option Pricer

This is a project to estimate the value of financial options, enhancing proficiency in Python programming, numerical methods, and stochastic modeling. I had taken this project to learn more about quantitative finance and learn more about how options are priced.

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R U Trash: A Sustainable Initiative

This is the project I completed in HackRU Spring 2024, a 24 hackathon at Rutgers University. I showcased my expertise in machine learning and Flask by developing a successful project that seamlessly integrated ML models into web applications and learned how to integrate Cloudflare Worker AI.

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Software Methodology: Chess Assignment

This project is a chess game developed as a part of the CS 213 course at Rutgers University to learn Object Object-Oriented Programming Principles as well as the software development process using Java.

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Mobile-Edge Computing Experimental Setup

As part of my WINLAB internship, I took part in project titled 'Resilient Edge-Cloud Autonomous Learning.' Our team, alongside dedicated mentors, delved into mobile-edge computing, optimizing machine learning on edge devices, and striking a balance between latency and accuracy.

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Monte Carlo Stock Simulator

This is a project to estimate the value of financial options, enhancing proficiency in Python programming, numerical methods, and stochastic modeling. I had taken this project to learn more about quantitative finance and learn more about how options are priced.

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ASL Reader

A program that inputs American Sign Language and translates it into english in realtime.

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Scheduling Extension

A program that modifies your google calendar when you input a task with a deadline and priority.

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PBL vs LBL in Special Relativity Education for High

Check out this research paper I wrote in my senior year of high school regarding physics education.

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Contact If you have any questions or want to reach out to me for any reason please fill out the contact form below! Thank you for your time.