Saim Mahmood
NUST
· 2026
Email
saimmehmood2004@gmail.com
Phone
923425161581
GitHub
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Academic
Program
BSCS
CGPA
3.04
Year
2026
Education
SEECS
Address
Islamabad, Pakistan
DOB
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Career
Current role
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Target role
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Skills
AI/ML, Distributed Systems, Full-Stack Engineering, Laravel, React, SQL, RESTful APIs, Data Extraction, Preprocessing, Feature Engineering, Inference, PowerBI, Docker, Azure, Computer Vision, Object Detection, Multi-object Tracking, Semantic Segmentation, Behavioral Analytics, YOLOv8, ByteTrack, DeepLabV3, OpenCV, CUDA, LLMs, RAG, Abstractive Summarization
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Saim Mahmood Cell: 923425161581 | Email: saimmehmood2004@gmail.com LinkedIn: https://www.linkedin.com/in/saim-mahmood-1385a5250/ Address: , Islamabad , Pakistan 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
AI enrichment
Saim Mahmood is a Computer Science undergraduate specializing in AI/ML and Full-Stack Engineering with internship experience in software development and data analytics. He has built scalable applications using Laravel and React, and architected AI pipelines involving LLMs and computer vision technologies. His profile highlights proficiency in modern ML frameworks, cloud-native tooling, and system design.
Skills (AI)
["AI/ML", "Full-Stack Engineering", "Laravel", "React", "SQL", "RESTful APIs", "Docker", "Azure", "Computer Vision", "YOLOv8", "OpenCV", "LLMs", "RAG", "Data Pipelines", "PowerBI"]
Status: ai_done