CTO & Co-Founder at InkTank
CTO & Co-Founder at InkTank leading Web Development in Vite and Vue.js and Product Development related to AR and 3D Modelling.
Software/Robotics Intern at Evodyne Robotics Academy working with CAD Modelling in Fusion 360, ROS 2, Ignition Gazebo, and RViz.
InkTank Product Development - Led the development of InkTank's website, utilizing modern web technologies to achieve a fast, interactive platform for tattoo artists and clients. (Vue.js, Vite)
Evodyne Robotics Virtual Model Simulation - Created a complete virtual simulation of the Evodog robot using CAD modeling, enhancing design iteration speed and reducing physical testing needs by 50%. (XML, URDF, XACRO, ROS, Gazebo, RViz)
Key-Value Database System API - Collaborated in a team of 3 to design and implement a scalable key-value database system, incorporating Memtables, SSTs, Static B+-Trees, Buffer Pools, LSM-Trees, and Bloom Filters, emphasizing memory management and performance optimization to achieve a 30% improvement in query efficiency and support datasets beyond 10GB. (C++, Python, SQL)
Stellar Requiem - Developed 'Stellar Requiem,' a rhythm-based game with co-op gameplay, featuring advanced enemy AI and rhythmic challenges to enhance player engagement. (Godot, GDScript/C#)
FUSE File System Implementation - Developed a FUSE-based file system, supporting key operations like creation, deletion, and resizing, while significantly improving error-handling and memory efficiency. (C)
mhapy Sentiment Analysis Model - Built a sentiment analysis API using NLP techniques to assess user-generated content for mental health trends, achieving 85% accuracy in sentiment detection. (Python, Flask, nltk, TensorFlow, Keras)
Improving Predictive Models for Online Education - Implemented and evaluated ML algorithms to predict student performance on online education platforms, optimizing predictive accuracy and documenting insights in a detailed report. (Python, TensorFlow, Keras, PyTorch, NumPy)
MarkUs Database Analysis - Analyzed complex datasets from the MarkUs database, using Python and SQL to streamline data extraction, enhance accessibility, and generate insights. (Python, SQL)
Miniature Social Network - Developed a basic social networking app with features like messaging, friend requests, and profile viewing, gaining experience in server communication and concurrent client handling. (C)
Coursera Deep Learning Specialization - Completed deep learning projects using CNNs and sequence models, focusing on hyperparameter tuning and model optimization for real-world applications. (Python, TensorFlow, Keras)