Summary
Ahmed Raza is a Senior Data Scientist with 7 years of experience translating cutting-edge research into production-grade AI systems across accessibility, agentic AI, and computer vision. He has built end-to-end ML pipelines and real-time deployments—combining FastAPI, Docker, LLM integrations, and synchronized multi-camera vision—to deliver measurable business impact like a 99.5% accurate auto-scoring system. His background spans fine-tuning domain-specific LLMs for enterprise fintech, unsupervised video segmentation research (WACV 2024 co-author), and production ML for large-scale call-center optimization. Comfortable bridging research, engineering, and product teams, he focuses on scalable, low-latency solutions and agentic systems with voice interaction. Based in Pakistan, he brings a pragmatic blend of academic rigor and product-minded engineering, often optimizing model architectures and pipelines to squeeze performance in noisy, real-world environments.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Computer and Emerging Sciences