Open to opportunities

Ahmed Suhail

@ahmedsuhail

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AI & Machine Learning engineer building full‑stack LLM and ML solutions.

India

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What I'm looking for

I seek engineering roles where I can build and deploy ML/LLM systems end‑to‑end, work with modern MLOps tooling, collaborate in small agile teams, and grow technically through production experience and mentorship.

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.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

C-DAC

Apr 2025 - Apr 2025 (0 months)

Developed a Speech Emotion Recognition system using CNNs and MFCC-derived features to classify six emotions and deployed an end-to-end Flask pipeline enabling real-time emotion detection via microphone or audio upload.

Python CNN Flask Deep Learning Audio Processing