Malik Shahzaib
Building intelligent systems at the intersection of software engineering and machine learning. Focused on scalable backend infrastructure, MLOps, and applied research in precision agriculture.
About Me
Software Engineer and ML Researcher with expertise in full-stack development, cloud infrastructure, and deep learning. Currently pursuing B.E. in Software Engineering at NUST (CGPA: 3.4/4.0) with hands-on experience at YC-backed Markaz Technologies and as a founding engineer. Published research in agricultural AI and actively working on LiDAR-based plant phenotyping systems. Passionate about bridging the gap between research and production-grade systems.
Bachelor of Engineering, Software Engineering
National University of Science and Technology (NUST)
Islamabad, Pakistan • Sep 2022 - Expected June 2026
CGPA: 3.4/4.0
Relevant Coursework:
Skills
Backend & Languages
ML & AI
Cloud & DevOps
Web Development
Experience
Software Engineer
Markaz Technologies (YC W22)
Islamabad, Pakistan
- •Migrated AWS Lambda functions to GCP Cloud Run and set up a custom CDN, which reduced API latency by 4x.
- •Moved company assets from Alibaba CDN to GCP buckets and built a pipeline to convert images from JPG to WebP which reduced file sizes by 40%.
- •Developed an LLM-powered API to resolve unstructured address data by mapping addresses to their relevant areas.
Founding Engineer
Elegant Intelligence
Islamabad, Pakistan
- •Leading the development of an MVP that automates legal contract generation and online dispute resolution.
- •Supervising the technical execution and product strategy for an MVP, meeting with industry experts and researching cutting-edge technologies to enhance features.
Undergraduate Researcher
Machine Vision & Intelligent Systems Lab
Islamabad, Pakistan
- •Conducted literature review of state-of-the-art deep learning models in precision agriculture for plant phenotyping.
- •Worked on MK-X8 Octocopter drone integration, including 3D printing components, mounting sensors, and deploying pipelines on NVIDIA Jetson Orin Nano for data collection.
Machine Learning Research Assistant
TUKL-NUST R&D Center
Islamabad, Pakistan
- •Trained deep learning models on the NMT scalp EEG dataset to classify between normal and abnormal EEG signals.
- •Built a conversational chatbot from scratch, implementing a sequence-to-sequence (Seq2Seq) architecture with an attention mechanism in TensorFlow.
Research & Publications
Published research in agricultural AI and precision agriculture using deep learning and LiDAR technology.
AgriFormer: Advancing 3D LiDAR-based Biomass Prediction through Hierarchical Feature Learning
Malik Shahzaib, et al.
Proposed a Transformer-based model building upon BioNet for processing 3D LiDAR point clouds to estimate biomass. Evaluated on a public wheat and triticale dataset (Yanco, NSW 2019), achieving a 16.6% reduction in RMSE over BioNet. Presented at the 22nd ACS/IEEE International Conference on Computer Systems and Applications in Doha, Qatar.
Certifications
Professional certifications in deep learning, machine learning, and full-stack development.
Featured Projects
A selection of projects showcasing full-stack development, ML engineering, and cloud infrastructure with real-world impact.
LiDAR-Based Plant Phenotyping for Precision Agriculture
Developing an end-to-end pipeline for non-destructive plant phenotyping using 3D point cloud data.
Umeed - Marketplace for Rural Women Empowerment
A comprehensive marketplace platform designed to empower rural women by providing a digital platform for economic participation and skill-sharing in rural areas.
Get in Touch
I'm currently open to new opportunities, research collaborations, and interesting projects. Feel free to reach out if you'd like to connect.