Mohd Ayaan Anwar
Software Engineer @ Qualcomm
About
Engineer at Qualcomm working on Ethernet driver development across Router, IoT, and Automotive SoCs. Experienced in Linux kernel, QoS, hardware offloading, and upstream driver enablement. Previously developed predictive ML models for disaster management at AiDash, and published peer-reviewed research in federated learning and edge AI. Interested in systems programming, scalable network driver design, and Kernel hacking.
India
Delhi
Computer Software
Kernel Drivers, Kernel Programming, Communication, Problem Solving, Code Review, Linux Device Driver, Pandas (Software), NumPy, Amazon Web Services (AWS), Signal Processing, Federated Learning, Biomedical Research, Keras, Git, Linux Kernel, Device Drivers, Linux, TensorFlow, C, C++
Experience

Data Science Intern
Gurugram, Haryana, India
- Contributed to the DDMS (Disaster & Disruption Management System) platform. - Delivered 7 new time-sensitive prediction modules for a major client. - Deployed statistical and machine learning models for predicting regional outages, storm direction, and affected customers using 10-year historical storm data. - Streamlined the storm outage model inference pipeline, reducing the notification time from 2 hours to 1 hour (50% decrease). - Developed pipelines for obtaining weather data for any new region using Shapely polygons and conversion of Apache Spark Dataframes to CSVs located in S3 buckets.
Mohd Ayaan Anwar's Contact Information
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