Summary
Pratik Mangalore is a software engineer and UCLA MS candidate with nine years of experience building production networking software and machine learning models. Currently at Arista Networks, he contributes to EOS features, BGP tooling, and robust testing for critical networking subsystems. His background includes ML-driven network traffic classification at Cisco (97.2% accuracy) and research applying Similarity Network Fusion and spectral clustering to multimodal biomedical data. Comfortable across Python, C++, C and R, he blends mathematical optimization and practical engineering to move prototypes into reliable code. Less obvious: he pairs systems-level networking work with applied ML for interpretability—building inference and visualization engines that translate clustering outputs into actionable subgroup statistics. Based in Los Angeles, he is targeting full-time roles at the intersection of software engineering, data science, and ML.
9 years of coding experience
1 year of employment as a software developer
High School, Mathematics and Computer Science, 92.92%, High School, Mathematics and Computer Science, 92.92% at Thakur Vidya Mandir
Class X, PCM, 94.5%, Class X, PCM, 94.5% at Lokhandwala Foundation School
Master of Science - MS, Computer Science, 3.9/4.0, Master of Science - MS, Computer Science, 3.9/4.0 at University of California, Los Angeles
Bachelor of Technology (B.Tech.), Information Technology, 9.31/10, Bachelor of Technology (B.Tech.), Information Technology, 9.31/10 at Indian Institute Of Information Technology
Konkani, Marathi, Hindi, English