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Schedule Interview NowMy name is Naveed M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, Computer Vision, Machine Learning, LLM Prompt Engineering, AI Agent Development, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: Portfolio, Generating 3D Mesh Models from Single RGB Images, Chip Placement with Deep Reinforcement Learning, Gait Recognition, PREFUL Lung Cancer Detection. I am based in Islamabad, Pakistan. I've successfully completed 5 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
5 years
4 Years
4 Years
4 Years
Potentially possible
Turkish Aerospace
My Portfolio
We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous methods usually repres
In this work, we present a learning-based approach to chip placement, one of the most complex and time-consuming stages of the chip design process. Unlike prior methods, our approach has the ability t
Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglect representations at
The cardiac left ventricular function in COPD (CLAIM) study enrolled patients aged 40 years or older with COPD, stable cardiovascular function, and hyperinflation (residual volume . 135% predicted). D
Bachelor of Applied Science (BASc) in Electrical engineering
2016-01-01-2020-01-01