Srija Madhadi

I am an AI Engineer with over 5 years building, deploying, and maintaining machine learning and deep learning solutions in production environments across cloud platforms. I have a strong foundation in Python, core ML algorithms, neural networks, NLP, and computer vision, and I collaborate closely with product and engineering teams to translate complex requirements into reliable AI systems.

My work has delivered measurable business impact: I built churn-prediction models that improved retention by 18%, implemented image-classification pipelines achieving 92% live accuracy, and deployed credit-risk models on SageMaker that improved loan approval efficiency by 22%. I also design end-to-end NLP workflows, ETL pipelines, and visualization dashboards to surface actionable insights for stakeholders.

I prioritize scalable, maintainable solutions—applying MLOps practices, model monitoring, CI/CD, and cloud-native deployments (AWS, GCP, Azure). I seek roles where I can continue optimizing model performance, reducing operational costs, and driving data-informed decisions across cross-functional teams.