Built a fully automated content pipeline that generates and uploads shortform videos using LLMs and YouTube API. Integrated GitHub Actions to schedule daily creation and publishing workflows for consistent automation and automated the generation of video scripts, titles, hashtags, and metadata for optimized reach.

Developed a tool to transform web content into presentation videos with synchronized narration and music. Automated slide creation, narration, and audio generation using Gemini and text-to-speech models and streamlined content curation through web scraping and AI-driven summarization for presentation flow.

Built a command-line LLM assistant to manage and modify calendar events via natural language. Integrated an Agentic RAG framework for reasoning over contextual information about scheduled events and automated the discovery and scheduling of upcoming Codeforces contests based on user intent.

Fine-tuned multilingual BERT for Turkish hate speech classification using parameter-efficient LoRA adapters. Implemented token-level explainability using SHAP to visualize word contributions in predictions and built a rewriting pipeline to paraphrase hateful text while retaining tone and semantic meaning.

Built a hybrid topic generation framework using KeyBERT, Llama2, UMAP, and HDBSCAN. Constructed topic similarity graphs and performed community detection and k-core analysis for deeper insights.

A collection of machine learning research papers implemented from scratch, including reproducible code, experiment logs, and detailed explanations.