I turn ideas into code, challenge myself in games and at the gym, and approach life with the same curiosity and drive. Written by a human. Definitely.
My personal and academic projects.
Django-based web application designed for analyzing Twitch chat messages. It provides tools for uploading, searching, filtering, and analyzing chat data.
Interface that allows users to experiment with language models by adjusting LLM parameters for a customized experience. Built with Streamlit, it enables fine-tuning settings like temperature, top-k, and top-p to control response behavior.
DistilBERT, GRU, and LSTM models to detect and classify toxic comments in online discussions, with evaluation through error analysis and visualizations.
Multinomial-Gaussian-Bernoulli Naive Bayes, XGBoost, Random Forest, and Decision Tree models are used to distinguish between spam and legitimate messages, with methods to handle class imbalance and improve performance.
Logistic regression and naive bayes approaches to identify and flag potentially false news articles.
Bi-LSTM and embedding models to predict and generate song lyrics based on an initial input sequence with categorical cross-entropy loss.
Multiple machine learning models, including RNN, TFIDF, and MLP, are trained and compared for sentiment analysis on both films and tweets.
The XGBoost model is updated daily with fresh data for accurate bitcoin predictions, featuring data processing, model training, and visualization via a Streamlit dashboard.
Deep learning model using PyTorch to classify images through transfer learning. By leveraging pre-trained neural networks, it efficiently classifies 102 flower species with optimized training time and improved accuracy.
My academic and professional experience.
Developing the Human Rights Knowledge Gateway platform and OHCHR intranet by implementing data-driven workflows and automation for research, processing, analysis, and visualization; extracting and structuring information; optimizing knowledge management operations and information-sharing systems; and supporting coordination of sessions.
September 2025 - Present
Developing the data pipeline of a RAG-based code assistant, including information retrieval, fine-tuning, model optimization via pruning and quantization. Analyzing and evaluating data, performing statistical and qualitative analysis, creating visual summaries, and reporting insights to guide improvements.
March 2025 - September 2025
Development of a Django-based corpus exploration website for analyzing online violence on Twitch.
December 2024 - March 2025
Design, development, and management of a conversational AI solution.
January 2024 - June 2024
Advanced studies in natural language processing (NLP), machine learning, and programming.
September 2024 - September 2025
September 2023 - September 2024
Feel free to reach out for collaborations, questions, or just to say hello!