Summary
Zeenat Ali is a Senior Software Engineer and AI/ML researcher based in Boston with about six years of professional experience building full-stack, cloud-native systems and production ML models. She blends enterprise-grade engineering—delivering HIPAA-compliant healthcare products and scalable microservices—with academic rigor, publishing an LSTM-based PBLH air-pollution model accepted at the AAAI Symposium through NASA-funded research. Comfortable across Python, C#, React, TensorFlow/PyTorch, and AWS/Azure, she leads small teams, mentors junior engineers, and drives CI/CD and DevOps practices that improve delivery and reliability. Her background spans industries from healthcare and energy to retail and sustainability, where she applies data-driven methods to real-world problems. Notably, she pairs hands-on system design with research impact—achieving a 0.11 RMSE in a domain-level environmental model—while earning recognition for coordinating large-scale knowledge transfers.
6 years of coding experience
8 years of employment as a software developer
UMBC
B.tech, Computer Science, Honors (CGPA 8.35/10), B.tech, Computer Science, Honors (CGPA 8.35/10) at Rajasthan Technical University, Kota