Summary
Fasih Hussain is a Senior Software Engineer with six years of experience building scalable, compliance-focused data systems, currently driving content classification and AI-driven features at Securiti. He blends a strong academic foundation in Computer Science (3.81/4.0 from Habib University) with practical expertise in multi-threaded pipelines, Kafka integrations, Helm-managed microservices, and distributed vector embedding workflows that cut manual effort by ~80%. Past roles include hands-on AI work as an intern at Ripe.ai and several teaching assistantships in algorithms and programming, reflecting both machine learning interests and a knack for mentoring. Notably, he engineered a self-healing detector system that isolates faulty components in real time and redesigned a pipeline to scale theoretical file capacity from 1M to 256M, demonstrating a focus on reliability under large-scale data loads. Based in Karachi, he pairs competitive coding instincts with product-minded engineering to solve complex data-privacy and real-time processing challenges.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.81/4.0, Bachelor of Science - BS, Computer Science, 3.81/4.0 at Habib University
English, Urdu