Malik Shahzaib Khan

Academic

Career

Verbatim text

Malik Shahzaib Khan
Cell: 923192144588 |  Email: malikshahzaib7238@gmail.com
LinkedIn: https://www.linkedin.com/in/malikshahzaib7238/
Address: , Saifia road, ratti kassi, tarnol , Islamabad , Pakistan
PROFESSIONAL PROFILE
I’m a software engineer and a machine learning researcher who loves building things that actually work in the real world. I’ve spent
over a year working in full-stack development, specifically focusing on backend systems and DevOps. My professional industry
experience includes my work at Markaz Technologies (YC W22), where I worked as a software engineer, and before that, I worked
as an individual freelancer. I have also been part of a pre-seed startup where I am working as a software engineer. Alongside my industry work, I had my research paper accepted at the AICCSA 2025 conference, which was a huge milestone for me. I’m now
looking for a role where I can keep growing my technical skills while contributing to meaningful projects.
EDUCATION
Bachelor of Engineering in Software Engineering
School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.4/4 (2026)
INTERNSHIP EXPERIENCE
Markaz Technologies (YC W22)
25-Aug-2025 - 12-Dec-2025
During my time at Markaz, I worked on using large language models to work on the address problem for their marketplace. I was also
responsible for moving some of our backend infrastructure from AWS Lambda to GCP Cloud Run and served the responses by my
own setup CDN, which reduced latency by 4 times. I also migrated the assets currently served from Alibaba CDN to our own GCP
bucket and served them via Markaz' own CDN. During this migration, I converted the images from JPG format to WebP format,
reducing the size and improving the loading time.
Machine Vision & Intelligent Systems Lab
23-Dec-2024 - 20-Apr-2026
I worked as a final-year project researcher here in this lab, where my work involved researching state-of-the-art models for LiDAR,
hyperspectral, and RGB data fusion for phenotyping, specifically the traits like biomass. On the hardware side, I designed and 3D-
printed custom mounts for sensors and integrated them onto the MikroKopter. I also handle the deployment of these models onto
NVIDIA Jetson Orin Nano boards to enable real-time data collection and processing during flight. For the inference, I also worked on
creating the full-stack web portal.
Eligient
19-May-2025 - 03-Mar-2026
I am developing a pre-seed stage MVP that automates legal contract generation and contract reviews. My role involves designing the
high-level technical architecture and deciding between the tools, ensuring the platform is both scalable and user-friendly. To keep the
product competitive, I meet with industry experts and research cutting-edge technologies to integrate features that solve specific legal
bottlenecks. The tech stack of this MVP includes Next.js, FastAPI, Gemini API integration, and using Vercel and Render for the
deployment.
TUKL-NUST R&D Center
05-Jun-2023 - 08-Jan-2024
I worked at the TUKL-NUST R&D Center, where I focused on using deep learning for medical diagnostics. I trained models on the
NMT scalp EEG dataset to successfully classify brain signals as either normal or abnormal. To make this research practical, I built a
full-stack application using Vue.js for the frontend and Flask for the backend, supported by a MySQL database.
FINAL YEAR PROJECT

AI enrichment