REDLABS β ML Engineer
2023 - PresentEngineered real-time ML systems, as measured by a 20% ETA improvement, by deploying geospatial agents on IoT data.
Accuracy in ML models
Improved Emergency ETA
Students Empowered through Training with Google DSC & Microsoft
Engineered real-time ML systems, as measured by a 20% ETA improvement, by deploying geospatial agents on IoT data.
Applied ML skills in production, as measured by project outcomes and a 3.8 GPA, through hands-on coursework and deployment.
Boosted CTR by 17%, as measured in A/B tests, by building and optimizing large-scale recommendation models.
Built dual-model attendance system, as measured by 91.5% and 87% accuracy, using CNN and TDNN architectures.
Built strong CS foundations, as measured by a 9.2 GPA, by excelling in algorithms, systems, and ML projects.
This book is intended to be a course material for a university professional course on quantum computing. It gives students both theoretical and practical experience using Qiskit and IBMQ. This book is a 10-week course requiring at least 2 hours per week.
A Data Analysis Pipeline to Explore Demographic Information for Identifying COPD Patients.
Whether itβs AI magic, data wizardry, or a research collaboration β Iβm all ears.
Send Me an Email