Shaw Ahmad

I’m a Lead Machine Learning Engineer with 10+ years of experience designing, deploying, and scaling production-grade AI systems across healthcare, fintech, and industrial domains. I specialize in Generative AI, LLM fine-tuning, and MLOps, focused on measurable business outcomes through intelligent automation and data-driven solutions.

I’ve built end-to-end ML pipelines, including RAG-based architectures, and I actively optimize model performance in cloud environments like AWS, GCP, and Azure. In a clinician–job matching system, I improved matching accuracy by 30% while reducing manual verification time by 40%, and I delivered Generative AI solutions for resume parsing/compliance automation that cut manual workload by 35%.

My work emphasizes reliable experimentation and strong operational discipline. I use structured experimentation, A/B testing, and statistical analysis to improve predictive accuracy and decision reliability, and I build scalable MLOps pipelines with MLflow, Apache Airflow, and AWS SageMaker for continuous training, monitoring, and model drift detection.

Before Praos Health, I led impactful production initiatives at Seven Cells and Thoughtworks, including OCR + BERT-based document intelligence that reduced manual review time by 60% and improved accuracy by 15%. I also shipped real-time data pipelines (Kafka/Kinesis), fraud detection with graph-based anomaly techniques (+20% accuracy with sub-second latency), and deep learning medical imaging models (95%+ diagnostic accuracy). I bring this same focus—robust pipelines, clear metrics, and effective collaboration—into every engagement.