Ahmed Suhail

I am an AI and Machine Learning engineering graduate with hands‑on experience building full‑stack applications and deploying ML systems. I have worked with large language models, model fine‑tuning, retrieval‑augmented generation, and production deployment tooling.

During internships I developed a Speech Emotion Recognition system with CNNs, MFCC features, and a real‑time Flask deployment, and performed advanced EDA on genomic datasets using scikit‑learn and pandas. I have built end‑to‑end ML pipelines for cancer prediction integrating DagsHub, MLflow, Docker, Kubeflow and cloud deployment on GCP.

I enjoy practical engineering: implementing CI/CD, experiment tracking, and scalable deployments, while also mentoring peers and participating in hackathons to drive hands‑on innovation.