Hello, I'm
Aditya Joshi
Computer Science Student at NUS | AI Specialization
Hello, I'm
Computer Science Student at NUS | AI Specialization
Get To Know More
Creative Technologist at SERIAL CO_ Present
R&D Software Developer Intern at Laconic Technology
Tech Executive at Artimal
B.Comp in Computer Science
AI Specialization
National University of Singapore
Hi, I'm Aditya! I'm a Computer Science student at NUS who is genuinely excited about building technology that matters. I have a blast tackling challenges, whether it's conceptualizing cutting-edge solutions at the intersection of art and technology, developing over 100 REST APIs for a POS system, or prototyping AI-powered chatbots with RAG. I love exploring how AI, automation, and immersive experiences can solve real problems. With a strong foundation in both software development and machine learning, I love diving deep into projects and delivering results. Outside of my studies, you'll find me producing music, exploring filmmaking, or playing basketball. I'm passionate about learning, creating, and making a positive impact, one line of code at a time.
Explore My
Serial Communication Private Limited, Singapore | Oct 2025 - Present
Conceptualizing and executing cutting-edge solutions at the intersection of art and technology, working with AI, AR, VR, XR, IoT, Automation, and Blockchain. Building digital and physical systems with Python, JavaScript, Java, and C++ using TouchDesigner, Max/MSP, Arduino, SparkAR, Unreal Engine, and Unity.
Laconic Technology Company Limited, Bangkok | May 2025 - Aug 2025
NUS Overseas College Thailand
Designed and implemented 100+ REST APIs using Java (Spring Boot) and PostgreSQL schema for POS + e-commerce platform. Prototyped AI-powered chatbot using Python and RAG with Vanna & Llama3. Built and deployed MVP backend in under 3 months.
Artimal, Singapore | Oct 2024 - Jan 2025
Led tech initiatives developing chatbot mascots, maintained MySQL databases, and managed software projects ensuring timely delivery and business alignment.
Bookism, Khatima, India | Jan 2022 - Sep 2022
Co-founded book rental start-up, gathered 200 initial users within a week, rented 30+ books, and conducted 3 seminars onboarding 100+ students.
Browse My Recent
Real-time computer vision musical instrument using hand gestures to play chords
Created a gesture-controlled musical instrument using MediaPipe and OpenCV to map hand poses to chords in real time. Supports 7 finger combinations, 12 scales, and threaded audio synthesis for rich harmonies. Features live scale switching, adjustable chord duration and chord & duration display.
Full-stack ML application analyzing YouTube comment sentiment with 85% accuracy
Built an end-to-end sentiment analysis pipeline using XGBoost trained on IMDB reviews to classify YouTube comment sentiment. Features a React frontend with Chart.js visualizations, Flask REST API backend, and comprehensive NLP preprocessing with SpaCy. Processes up to 1,000 comments per video and displays top positive/negative feedback with confidence scores for content creator insights.
Machine Learning system predicting US flight delays with 77% accuracy
Built a comprehensive ML pipeline using XGBoost on over 558K flight records to predict delays. Features a React frontend with responsive UI, a Flask backend serving predictions, and a multi-model architecture for distance, duration, and delay probability estimation. Provides real-time delay predictions with feature importance insights.
Java-based lossless file compressor using Huffman coding with CLI and Maven packaging
Implemented a complete Huffman compression pipeline: frequency analysis, priority-queue tree construction, code generation, and bit-level I/O with a custom file format. Built a professional CLI supporting compress/decompress operations and packaged it as an executable JAR via Maven for cross-platform usage.
Custom Tic Tac Toe variant with AI and move-removal mechanics
Designed and developed a unique Tic Tac Toe variant with move-removal mechanics, an AI opponent using Negamax with alpha–beta pruning, and a responsive Streamlit web interface with real-time updates.
Machine Learning model predicting global video game sales
Developed a machine learning model to predict global video game sales using Linear Regression. Visualized model predictions against actual sales with scatter plots to improve understanding of model performance.
AI-powered document analysis platform (Apollo 11 Achievement)
Developed "KAYO", a web-based platform improving AI model accuracy for document analysis. Minimizes hallucinations and irrelevant outputs, enhancing information extraction for academic and professional use. Achieved "Level Apollo 11" recognition.
Hybrid CLI-GUI candidate and job role management system
Built a candidate and job role management system tailored for HR professionals and recruiters. Designed and implemented a hybrid CLI–GUI interface using Java and JavaFX, enabling efficient text-based commands with visual feedback.
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