• Delivery manager and team lead for Google's EDU TerminalBench and Google's Apps Script Bench • Awarded Turing Google Hero of the Month for outstanding contributions • Designed real-time data processing pipelines for anomaly detection and forecasting in large-scale autonomous systems • Built scalable backend services using FastAPI, Celery, and PostgreSQL for high-frequency data ingestion • Architected multi-agent AI systems integrating predictive signals and cross-agent coordination • Developed full-stack dashboards in React.js/Next.js for visualizing time-series telemetry and live metrics • Led cross-functional engineering efforts integrating ML-powered analytics into production systems

• Built end-to-end IoT data pipelines for high-frequency sensor streams using AWS/GCP • Designed ML models for sequential pattern analysis, forecasting, and anomaly detection • Optimized ML inference pipelines for near-real-time operation

• Utilized YOLO V7 for object detection with automated annotation workflows • Integrated Hidden Markov Models into ML pipelines for sequential data analysis • Applied data mining techniques for business intelligence at scale

• Conducted research in capsule networks for image classification and object detection • Optimized models using pruning techniques, reducing computational costs

• Developed iOS apps with on-device ML inference using Swift and CoreML • Designed the Gelderm classifier for improved medical image classification