Hello, I'm
Mokshith K Y Gowda
Computer Science Engineering student passionate about AI/ML, Full-Stack Development, and creating innovative solutions that make a difference.
Hello, I'm
Computer Science Engineering student passionate about AI/ML, Full-Stack Development, and creating innovative solutions that make a difference.
Passionate developer building the future with code
Computer Science student specializing in full-stack web development with the MERN stack. Fast learner and hardworking, with hands-on experience building real-time applications and achieving 7th rank in Cisco Forecast League.
I'm a final-year Computer Science Engineering student at RV Institute of Technology and Management with a strong passion for artificial intelligence, machine learning, AR/VR technologies, and full-stack web development. With a CGPA of 8.02, I've consistently demonstrated academic excellence while pursuing my passion for technology.
My journey in tech spans from building AR-based indoor navigation systems using Unity 3D and SLAM technology, to developing real-time chat applications with the MERN stack, and creating advanced machine learning models for sales forecasting. I thrive on solving complex problems and turning innovative ideas into practical solutions with published research papers in AR navigation and ensemble learning.
Beyond coding, I'm fluent in Kannada, English, and Hindi, which helps me collaborate effectively in diverse teams. I'm an active member of NSS (National Service Scheme) and enjoy playing cricket, watching anime, and reading manga in my free time. I believe in continuous learning and staying updated with the latest technologies to create meaningful impact through code.
Projects Completed
Certifications
CGPA
Publications
B.E. in Computer Science from RVITM, graduating in 2026
MERN Stack, AR/VR, AI/ML, Computer Vision
7th Rank in Cisco Forecast League, 2 Research Publications, NSS Member
My academic journey and educational achievements
Innovative solutions built with modern technologies
Built an AR-based indoor navigation application for campus buildings with real-time AR overlays and 3D path guidance. Developed room detection using A* algorithm and implemented spatial anchors, AR navigation arrows, and SLAM-based tracking achieving 1.47m positioning accuracy. Published research paper on SLAM and multi-sensor fusion for precise indoor positioning.
Built a full-stack real-time chat application using MERN stack (MongoDB, Express.js, React, Node.js) with Socket.io for live messaging capabilities. Implemented JWT-based secure authentication and integrated Cloudinary for efficient image storage and delivery. Features include real-time notifications, online status, and modern responsive UI with TailwindCSS.
Developed a sophisticated time-series forecasting model for 20 Cisco products integrating macroeconomic indicators with historical sales data. Implemented ARIMA and Random Forest Regression algorithms achieving 90.46% accuracy. Ranked 7th among all RV Institutions in the Cisco Forecast League competition.
Comprehensive weather data analysis project performing exploratory data analysis on meteorological datasets. Implemented data visualization techniques to uncover patterns and trends in temperature, precipitation, and other weather parameters. Utilized MongoDB for efficient data storage and retrieval, along with statistical methods and machine learning algorithms for predictive modeling and climate pattern recognition.
Created a Python utility to send WhatsApp messages programmatically using a script (whatsapp_sender.py), automating message delivery. Designed the tool to be simple, lightweight and easy to integrate, enabling users to send messages with minimal setup.
Developed a C program to improve typing speed and accuracy through timed tests and progress tracking.
Developed a Python-based "Rock, Paper, Scissors, Lizard, Spock" game inspired by The Big Bang Theory TV show, featuring interactive gameplay against the computer. Implemented clear rules, randomized outcomes, and a user-friendly console interface.
Published research papers and academic contributions
Research paper on AR navigation using SLAM and multi-sensor fusion with 1.47m positioning accuracy for campus indoor navigation.
Ensemble learning framework with R² values of 0.961-0.753 for EDM (Electrical Discharge Machining) optimization using advanced machine learning techniques.
Professional certifications and achievements
Technologies and tools I work with
Memberships, interests, and hobbies
Active student member contributing to social service and community development initiatives
Let's connect and discuss opportunities