Professional Summary
Hi! I'm Shagufta, a software engineer focused on building intelligent systems using machine learning, data, and scalable backend infrastructure.
I currently work at Cognida.ai, where I build applied AI systems to help businesses make data-driven decisions. In a startup environment with high end-to-end ownership, my work spans backend engineering, data processing, and machine-learning driven automation at production scale.
I recently completed my Masters in Computer Science at the University of Illinois Urbana-Champaign (UIUC) where I specialized in machine learning and data systems. My coursework includes Applied ML, Distributed Computing, Cloud Computing, Computer Vision, Large Language Models and Human Computer Interaction.
Experience Highlights:
- At Amazon, I worked on large-scale backend systems for Amazon Ads, focusing on a Bulk User Management feature that improved account access operations across 10K+ advertiser accounts.
- At Dell Technologies, I developed a computer vision pipeline to automate defect detection in packaging lines using edge-captured images and real-time inference.
- At GlobalLogic, I built a scalable real-time multiplayer learning platform, with interactive frontend features and AWS-based event-driven backend services.
My academic research and projects have been focused on applying machine learning to real-world problems. My interests lie at the intersection of AI systems, backend infrastructure, and data pipelines—building tools that turn AI models into practical, reliable products.
What I'm Currently Exploring:
- LLLMOps and Production AI Systems
- AI Agents and Autonomous Workflows
- Efficient AI-Assisted Software Development
Outside of work, you'll usually find me reading, staying active, or exploring new restaurants around the city.