Computer Science student specializing in Artificial Intelligence & Machine Learning, building end-to-end AI systems from data collection to deployment.
Designing conversational AI, model pipelines, and real-time inference systems.
Building embedded AI solutions integrating sensors, vision models, and alerts.
Containerized APIs, model orchestration, and performance tuning for real-world use.
A voice-driven AI system that follows a real-time pipeline: speech → transcription → reasoning → response synthesis. Built using Whisper, Ollama, and FastAPI.
Python • FastAPI • Whisper • Ollama • Text-to-SpeechReal-time facial recognition with temporal consistency checks to reduce false positives and trigger alerts for unknown identities.
Python • OpenCV • DeepFace • Supabase • Telegram Bot API