I'm a Computer Science, Big Data & AI student focused on crafting systems that work end-to-end — from initial architecture decisions through to production deployment.
I like diving deep into how things work under the hood. Whether it's building a real-time ML pipeline, a face recognition system, or an autonomous AI agent — I care about the full stack, the performance, and especially the security.
Open to interesting projects and collaborations. If you're building something cool, let's talk.
Big Data platform that analyzes cryptocurrency data in real time to automatically detect suspicious behavior using unsupervised machine learning. Processes streaming data through Spark and Kafka for anomaly detection at scale.
Attack surface analyzer combining a Rust async port scanner, Python recon modules, FastAPI backend, and Next.js dashboard for comprehensive security reconnaissance.
Automated security scanner for Linux and macOS that audits system configuration, authentication, network, and file integrity, then generates a self-contained HTML report.
Real-time face recognition system with a sci-fi HUD overlay. Uses ArcFace embeddings via InsightFace for accurate identification with a sleek visual interface.
AI-powered autonomous financial market intelligence agent. Monitors crypto markets, analyzes trends, and provides actionable insights through an intelligent pipeline.
RAG-based chatbot that lets you ask questions and get answers from PDF documents using semantic search and LLMs. Upload, index, and chat with your documents.
Interactive GitHub activity visualizer that transforms profile data into stunning charts and animations. Features constellation graphs, contribution heatmaps, and shareable GitHub Wrapped summaries.
Open to interesting projects, collaborations, or just a conversation about tech. DMs are always open.