I am a Mechanical Engineering student at NUST with a strong focus on design for manufacturing, finite element analysis, and computational fluid dynamics. I specialize in leveraging advanced simulation and analytical tools alongside practical design principles to deliver solutions that are both technically robust and manufacturable. With a research-oriented mindset and a drive for innovation, I aim to tackle complex engineering problems and translate them into impactful, real-world applications.
Factory Copilot is an AI-enabled wearable device developed to automate supervision in automotive assembly processes, specifically wiring and nut fastening. The system integrates custom hardware design, sensor fusion, and AI-driven recognition models...
Factory Copilot is an AI-enabled wearable device developed to automate supervision in automotive assembly processes, specifically wiring and nut fastening. The system integrates custom hardware design, sensor fusion, and AI-driven recognition models...
The Field Seeder System Vehicle was developed to address the need for efficient and reliable seed planting solutions across variable terrains. The project focused on reverse engineering a conventional precision seeder and redesigning it into a...
Designed a custom PCB enclosure tailored for integration into a low-cost Holter monitor device. The objective was to combine compactness, durability, and ease of assembly with an emphasis on clean, user-friendly aesthetics. The enclosure was...
This project involved the complete reverse engineering and 3D modeling of an ASUS motherboard, capturing every component from connectors and slots to microchip housings with meticulous accuracy. The objective was to demonstrate proficiency in...
As Team Captain and Lead Engineer, I led my university’s participation in the Electric Human Powered Vehicle Challenge (EHPVC), overseeing both the technical development and team coordination. I directed the end-to-end process, from concept design...
Factory Copilot is an AI-enabled wearable device developed to automate supervision in automotive assembly processes, specifically wiring and nut fastening. The system integrates custom hardware design, sensor fusion, and AI-driven recognition models...
The project involved the design, assembly, and optimization of a compact lithium-ion battery pack engineered to power the Factory Co-Pilot device. The focus of Iteration 2 was on improving energy density, thermal management, and structural...
The first iteration focused on developing a baseline power system to support the initial Factory Co-Pilot wearable prototype. A modular lithium-ion battery pack was designed using readily available cells to deliver consistent power for early AI...