Alisha User

I am a Computer Science Engineering student with hands-on experience in machine learning, generative AI, and web-based real-time systems. I combine practical project work and applied training to deliver functional, production-minded solutions.

I designed a real-time intrusion detection system that uses supervised ML to detect APT-style attacks, implementing live dashboards and low-latency packet classification. I also trained and fine-tuned generative AI workflows to produce digital illustrations and campaign assets, reducing manual design effort.

My toolkit includes Python, Scikit-learn, Google Colab, Socket.IO, Chart.js, and prompt-driven tools like Stable Diffusion and DALL·E. I prioritize integrating backend processing with responsive frontends to surface timely insights and alerts.

I seek opportunities where I can apply machine learning and generative AI expertise to solve security or creative-technical problems, contribute to product-focused teams, and continue growing through applied projects and cross-functional collaboration.