Kushal Bhattarai

Hi, I'm Kushal Bhattarai

Computer Science honors student building full-stack, AI-assisted, and data-driven systems across web, cloud, and real-time computer vision.

  • Full-stack development with React, Next.js, Node.js, Express, and MongoDB
  • Python systems using OpenCV, MediaPipe, NumPy, and Scikit-learn
  • Cloud and tooling experience across AWS, Google Cloud, Firebase, Docker, and GitHub
GPA 3.94 / 4.0

BS Computer Science (Honors)
University of Louisiana Monroe
Expected Graduation: May 2027

Experience 75+ Sites
  • Web Developer Intern
  • Research Assistant
  • Teaching Assistant
  • Full-Stack Developer
  • Data Analyst
  • Java Programmer

Who I Am

Building practical software across web, AI, data, cloud, and security.

I'm a BS Computer Science (Honors) student at the University of Louisiana Monroe, expected to graduate in May 2027. My work spans production website support, Java teaching assistance, real-time computer vision, full-stack applications, and data analysis.

Currently

Computer Science Honors Student

Open to SWE internships

I focus on software that is useful under real constraints: fast client website updates, reliable full-stack systems, accessible AI tools, and analysis pipelines that turn raw data into decisions.

3.94 GPA (Honors)
75+ Client sites supported
50+ Student projects reviewed
  • Full-stack development with React, Next.js, Node.js, Express, and modern JavaScript.
  • AI and computer vision projects using Python, OpenCV, MediaPipe, NumPy, and Scikit-learn.
  • Cloud and database work across AWS, Google Cloud, Firebase, Supabase, MySQL, MongoDB, and Redis.

Languages

Python Java C C++ JavaScript TypeScript SQL HTML/CSS

Frameworks

React Next.js Node.js Express.js Tailwind CSS Java Swing

Data & Cloud

MySQL MongoDB Redis AWS EC2/S3 Google Cloud Firebase Supabase

Experience

Professional experience in research, web development, teaching, and software delivery.

My recent work includes research data analysis, supporting a large client website portfolio, and helping students strengthen Java, debugging, and problem-solving skills.

Aug 2023 - Present

Research Assistant

Dr. Daniel Hummel • University of Louisiana Monroe

  • Conducted complete data processing and analysis of 5,000+ survey responses using Python Pandas for automated cleaning and transformation and IBM SPSS Statistics for detailed statistical analysis.
  • Presented major research findings, statistical results, and practical implications at the SECoPA 2024 Annual Conference and the ULM Research Symposium 2024 to research and professional audiences.
Jan 2026 - Apr 2026

Web Developer Intern

Key Marketing Solutions • Monroe, LA

  • Managed and supported a portfolio of 75+ client websites through content updates, layout enhancements, and performance improvements.
  • Developed and launched client websites aligned with business goals while maintaining domains, hosting, and technical configurations for 99.9% uptime.
Aug 2025 - Dec 2025

Teaching Assistant

University of Louisiana Monroe

  • Supported programming instruction and labs for 35 students, reinforcing Java concepts and coding skills.
  • Reviewed and evaluated 50+ student projects with actionable feedback and exam preparation support.

Projects & Case Studies

Full-stack, AI, computer vision, data, and simulation projects.

These projects reflect the current resume: real-time sign recognition, injury prevention analytics, e-commerce data analysis, and Java simulation tooling.

Computer Vision • Accessibility

HoloHand

Real-time sign language detection using Python, OpenCV, MediaPipe, C#, WebSockets, JSON, and NumPy.

  • Captures and interprets 21 hand landmarks to recognize basic signs and gestures.
  • Converts hand shapes, finger positions, and palm orientation into classifiable sign patterns.
  • Uses multithreading and headless execution for smooth 30-60 FPS recognition with low delay.
PythonOpenCVMediaPipeWebSockets
AI • Healthtech

ACL Injury Prevention and Recovery System

AI-assisted movement tracking for knee motion analysis, wearable data, and recovery workflows.

  • Developed a Python movement-tracking pipeline to capture joint trajectories and abnormal knee rotation patterns.
  • Built a React, Node.js, and MongoDB app with real-time analytics, wearable integration, and secure authentication.
  • Connected athletes, trainers, and clinicians in one system for prevention and recovery support.
PythonReactNode.jsMongoDB
Analytics • Automation

E-commerce Data Analysis

Automated analysis for 10,000+ e-commerce transaction records collected from various U.S. states.

  • Cleaned and analyzed transaction data using Python and MongoDB.
  • Produced trend charts, demand patterns, and customer behavior insights while reducing manual analysis time by 35%.
  • Identified top-performing states and products, improving decision-making clarity by 20%.
PythonMongoDBData Analysis
Simulation • Java

RoboStack

Java simulation environment with real-time visualization and efficient command-based operations.

  • Integrated a real-time visualization interface that reduced development time by roughly 20 hours weekly.
  • Implemented command-based robot operations that improved retrieval efficiency by 35%.
  • Designed an O(1) stack representation to track and display system states without interface lag.
JavaData StructuresSimulation

Connect

Let's collaborate on research, internships, or freelance builds.

Give me a little context and I'll respond with availability within 24 hours.

Contact Info

Monroe, LA • Remote-friendly

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