Peddi Anurag is a machine learning engineer and graduate teaching assistant at George Mason University with eight years of hands-on experience applying ML to recommender systems, time-series forecasting, and IoT intrusion detection. He combines academic rigor—MSc in Computer Science with a 3.9 GPA and strong research work on context-aware recommenders and GAN-based intrusion detection—with practical engineering, having built prototypes in PyTorch and Recbole and production-oriented pipelines for demand forecasting and ETL. At Stylumia he translated models into business impact (inventory optimization and Covid-19 wave prediction) and earned an Employee of the Month award for interpretability work, reflecting his focus on usable ML. Comfortable both tutoring students and collaborating on curriculum design, he’s actively moving from graduate research and teaching roles toward a full-time ML engineering role in 2024. A self-described “daytime coder, para-coder,” he pairs curiosity for new research with pragmatic python-driven implementation.
8 years of coding experience
2 years of employment as a software developer
Int. M.tech, Computer and Information Sciences, General, 9.32 CGPA, Int. M.tech, Computer and Information Sciences, General, 9.32 CGPA at University of Hyderabad
Intermediate, 983 Marks, Intermediate, 983 Marks at Narayana junior college
Secondary school, 9.2 CGPA, Secondary school, 9.2 CGPA at SR Digi School - India
Master's degree, Computer Science, 3.9 CGPA, Master's degree, Computer Science, 3.9 CGPA at George Mason University
This repo contains some basic maths solving programs
Contributions:2 reviews, 3 PRs, 20 pushes in 4 years 2 months
mathmatricesprimesmathssolving
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