Saim Mahmood

PROFESSIONAL PROFILE Computer Science undergraduate specializing in AI/ML, Distributed Systems, and Full-Stack Engineering, with proven experience building production-grade AI solutions, scalable data pipelines, and intelligent applications. Demonstrated ability to architect systems from scratch, lead technical teams, and deliver measurable outcomes using modern ML frameworks and cloud- native tooling. Actively seeking roles where AI, systems design, and real-world impact intersect. EDUCATION BSCS SEECS , Islamabad , 3.04 (2026) INTERNSHIP EXPERIENCE Glowlogix 11-Jun-2024 - 11-Sep-2024 - Role : Software Engineer Intern - Built and optimized scalable full-stack applications using Laravel, React, SQL, and RESTful APIs. - Refactored backend logic and normalized database schemas, resulting in faster queries and improved system stabiliy. - Contributed to production deployments within agile teams, adhering to clean code and version control best practices. Data BI 16-Jun-2025 - 15-Dec-2025 - Role : Data and AI Associate - Founded and operationalized the AI/ML function at the company, architecting complete pipelines for data extraction, preprocessing, feature engineering, and inference. - Designed and deployed AI-powered PowerBI dashboards, enabling automated insights and reducing manual analysis effort by ~30–50%. - Implemented containerized experimentation workflows using Docker and Azure, improving model reproducibility and deployment readiness. - Worked closely with stakeholders to translate raw data into decision-ready intelligence, directly supporting business strategy. FINAL YEAR PROJECT A Domestic Services Super App - A cloud-native mobile application exploring how fragmented, recurring service interactions can be reimagined into a single intelligent ecosystem. The project focuses on designing a scalable, adaptive platform that enhances user experience, coordination, and transparency across multiple service domains. - Architected as a full-scale mobile application with cloud-backed infrastructure and modular services. - Integrates real-time communication, location intelligence (maps), and dynamic service discovery. - Emphasizes system scalability, reliability, and extensibility, enabling seamless integration of independent agents. - Prioritizes user-centric design, operational efficiency, and intelligent orchestration of services. - Note: Technical depth, architecture, and implementation details intentionally abstracted for academic evaluation. TECHNICAL EXPERTISE Computer Vision Systems Built real-time vision applications combining object detection, multi-object tracking, semantic segmentation, and behavioral analytics. Delivered production-ready pipelines using YOLOv8, ByteTrack, DeepLabV3, OpenCV, and CUDA acceleration. Large Language Models & Intelligent Systems Developed LLM-driven applications leveraging retrieval-augmented generation (RAG), abstractive summarization, and contextual

Computer Science undergraduate specializing in AI/ML, Distributed Systems, and Full-Stack Engineering, with proven experience building production-grade AI solutions, scalable data pipelines, and intelligent applications. Demonstrated ability to architect systems from scratch, lead technical teams, and deliver measurable outcomes using modern ML frameworks and cloud- native tooling. Actively seeking roles where AI, systems design, and real-world impact intersect.