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Yugen AI
Data Scientist
June 13, 2026 – Present
neetcode-gpt
May 24, 2026 – Present
GPT built from scratch — assembled from my NeetCode ML course submissions
View Projectsupplens-landing
April 27, 2026 – Present
This is the landing pages where potential clients can see what Supplens is about enter their details to request for demo.
View Projectwhatsapp-ai-assistant
April 23, 2026 – Present
Ava — an AI-powered WhatsApp agent with voice, vision, image generation, and long-term memory
View Projectneetcode-submissions-rug7xr5s
March 30, 2026 – Present
My NeetCode.io problem submissions
View ProjectReal-Time_Data_Anomaly_Detection
October 31, 2024 – November 1, 2024
This project implements a real-time data pipeline that detects anomalies using machine learning algorithms and visualizes results in a web dashboard. Built with Apache Kafka for data streaming, Apache Spark for anomaly detection, and Dash for visualization, the system is fully containerized and orchestrated with Docker Compose.
View ProjectFacial-Emotion-Detection
June 7, 2024 – June 7, 2024
Developed and deployed an end-to-end face recognition and facial emotion detection system using advanced machine learning and deep learning techniques. Implemented real-time image and video processing with OpenCV and utilized Convolutional Neural Networks (CNN) in TensorFlow and Keras for emotion classification.
View ProjectData-Preprocessing-Project-Template
June 1, 2024 – June 1, 2024
This repository provides a comprehensive template for data preprocessing tasks essential for machine learning projects. The template follows a structured approach to ensure data quality and readiness for model building. It covers various aspects of data preprocessing
View ProjectResume-ATS-Scanner-Project-
May 27, 2024 – May 29, 2024
ATS Scanner for Resumes using Data Analytics in Jupyter Notebook to optimize resumes. Key features: resume parsing, keyword matching, scoring system, and data visualization. Technologies: Python, pandas, numpy, NLTK, Spacy, matplotlib, seaborn, regex, scikit-learn. Empowering job seekers with actionable insights.
View ProjectPeopleDB
June 6, 2023 – June 1, 2024
This project is a comprehensive Employee Database Management System built using Java and SQL, with DBeaver serving as the database management tool. The system facilitates efficient storage, retrieval, and management of employee data within an organization.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, indicating self-motivation and a passion for technology. The projects cover a good breadth of data science applications, from real-time anomaly detection to NLP for resume optimization and computer vision for emotion detection. This diversity suggests an inquisitive mind and a willingness to tackle varied challenges, which can be a positive cultural fit for an innovative team. However, the 'experienceLevel' being 0 while holding a 'Data Scientist' role at Yugen AI needs clarification. The projects are all personal, which is good for demonstrating initiative but lacks team collaboration context. The presence of non-data science projects (e.g., PeopleDB, AkkuAfra, supplens-landing) indicates a broad interest but might dilute focus if the target role is highly specialized. The current role as 'Data Scientist' at Yugen AI aligns well with the target role, but the lack of details on this professional experience limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and application. The diversity of projects suggests adaptability and a willingness to explore different technical domains. However, without specific psychometric or English test scores, a detailed assessment of soft skills and operational fit is limited. The current experience level is listed as 0, which contradicts the 'Data Scientist' role at Yugen AI, suggesting a potential discrepancy or very recent entry into the role.