mir khalil

I’m a Computer Science graduate with hands-on experience building backend services, data-driven applications, and production-ready automation. In my AI & automation role, I developed RESTful APIs with Python (Flask/FastAPI), integrated AI/ML model outputs into backend systems, and used n8n workflows to streamline service integrations.

I also strengthened my ML foundation through internships focused on real dataset workflows. I built data preprocessing and automation scripts for NLP datasets, processed structured text and speech data for ML pipelines, and supported feature extraction and model experimentation for language-related tasks.

On image-focused projects, I developed data pipelines and automation scripts to support ML for image classification. I contributed to model deployment workflows and backend integrations, and supported monitoring and optimization of ML systems in production environments.

My final-year project, VirtualFit (virtual try-on for fashion), reflects how I like to turn model outputs into useful user-facing systems using computer vision. Beyond that, I’ve worked on speech emotion recognition and automated car number plate detection, and I’m driven by strong performance and continuous learning, including earning a Meritorious Scholarship.