
Passionate AI Engineer specializing in NLP, Computer Vision, and Robotics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
basil-k-aji-dev.github.io
March 21, 2026 – Present
basil-k-aji-dev.github.io — GitHub repository
View ProjectAR_Virtual-Keyboard
April 24, 2024 – April 24, 2024
AR_Virtual-Keyboard — GitHub repository
View ProjectEmotion-Detection-Master
March 26, 2024 – March 27, 2024
In my emotion detection project, advanced techniques analyze users emotions, offering insights. In video captioning, algorithms generate concise captions, enhancing comprehension. Integration provides a comprehensive solution for understanding video content.
View ProjectStellar-Classification
March 3, 2024 – March 8, 2024
Our stellar classification model accurately categorizes celestial objects into galaxies, stars, or quasars based on their spectral characteristics. Achieving 98% accuracy, it offers both GPU-accelerated and standard versions.
View ProjectTFLite-Object-Detection
September 8, 2023 – September 8, 2023
📸 Snap a pic, and let your phone identify objects like a pro. Is that a cat? A dog? A chair? A UFO? Our Android buddy has got your back, and it's here to decode the mysteries of the objects around you.
View ProjectSign-Language-Recoginition
August 17, 2023 – August 17, 2023
This project focuses on using machine learning and computer vision techniques to recognize and interpret sign language gestures. Through the power of artificial intelligence, this project aims to bridge communication gaps and make sign language more accessible to a wider audience.
View ProjectTraffic-Light-Control
August 15, 2023 – August 15, 2023
This repository hosts a project that leverages Reinforcement Learning to tackle a real-world challenge - traffic light control at road intersections. Efficient traffic management is a critical aspect of urban development, and this project presents an innovative solution employing Deep Q-Learning to optimize traffic signal phasing.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter and a passion for exploring various AI/ML domains. However, all projects are personal, which limits insight into team collaboration or experience within a structured organizational environment. The breadth of projects suggests curiosity and a willingness to learn new technologies, which could be a positive cultural fit for an innovative team. The lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving methodologies, or communication styles.