At National Development Complex (NDC), I designed a smart home automation application using ESP32, Blynk-based remote light control, and an ultrasonic sensor for object detection over Wi-Fi.
For my final-year project, I designed and implemented a 32-bit, five-stage pipelined RISC-V processor with a direct-mapped cache. I verified its functionality through simulation in Vivado.
I also built Python-based machine learning projects, including a customer churn prediction system deployed as an interactive Streamlit application and a predictive maintenance pipeline with live predictions and automated drift detection.
My other projects include an OCR document-processing pipeline with a FastAPI REST API and a company-document RAG chatbot using LangChain and the Google Gemini API.
