Jr.AI/ML Engineer at Spectrum Webapps

Engineered and fine-tuned classification and clustering models using Scikit-learn, achieving 85%+ accuracy on client datasets for real-time anomaly detection use cases. Automated data preprocessing pipelines with Python and Pandas, eliminating repetitive tasks and saving 20+ hours per week in manual data cleaning efforts. Partnered with senior engineers to deploy computer vision systems using OpenCV and PyTorch, reducing quality inspection defects by 10% across production lines. Maintained detailed technical documentation and managed code repositories using Git and Jira, strengthening collaboration and version traceability across ML workflows. Supported cloud-based deployment of ML models on Azure ML and Docker containers, ensuring CI/CD consistency and faster environment provisioning. Designed and implemented feature engineering strategies using statistical and domain-specific techniques, improving model performance and interpretability by 15%. Monitored model drift and performance me