Summary
Faizan Khaji is a software engineer with a strong quantitative background and 8 years of cumulative experience, including two years at BlackRock where he helped design a scalable C++ mortgage risk model framework to accelerate ML model deployment. Currently pursuing an MS in Computer Science at Texas A&M and based in the San Francisco Bay Area, he combines research experience in machine learning with practical production engineering at F5. His track record spans quantitative development, data science internships, and graduate research—showing fluency from prototyping ML solutions to shipping performant, production-ready systems. Notably, he bridges finance-grade analytics and modern ML research, making him adept at turning complex models into maintainable, high-performance code.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.31, Bachelor of Technology - BTech, Computer Science, 9.31 at Vellore Institute of Technology
Master of Science - MS, Computer Science, 4/4, Master of Science - MS, Computer Science, 4/4 at Texas A&M University
Intermediate, 96.4%, Intermediate, 96.4% at Narayana Junior College - India