At a glance
2+
Years of industry experience building production AI systems at Beam AI
4+
Years of research experience across University of Auckland, UniSA, and Habib University
61
Open-source repositories on GitHub spanning ML, computer vision, and robotics
Focus areas
Large language models
LLM evaluation, self-healing output frameworks, retrieval-augmented generation, and autonomous AI agents for enterprise workflow automation
Computer vision
Camouflaged object detection, instance segmentation, real-time inference, and synthetic data generation with GANs
Cognitive computing
EEG and physiological signal analysis for modeling user intent, preference detection, and emotionally intelligent human–AI interaction
Autonomous robotics
SLAM-based navigation, dynamic path planning in ROS 2, and mobile robot systems for real-world deployment
Selected work
Research
Three research positions across two international labs — University of Auckland and University of South Australia
Publications
5 conference papers at ICRAI, IBCAST, INMIC, and ICACS
Experience
ML Engineer at Beam AI, open-source contributor to LangChain, and multiple internships
Projects
Enterprise RAG systems, autonomous robots, and open-source tools with real-world impact
Recent highlights
| Year | Highlight |
|---|---|
| 2026 | Joined Beam AI Research Lab as AI Research & Development Engineer — working on autonomous goal-oriented agents |
| 2025 | Promoted to Machine Learning Engineer I at Beam AI |
| 2025 | Joined Empathic Computing Lab, University of Auckland — only research intern selected from Pakistan |
| 2024 | Paper accepted at ICRAI (International Conference on Robotics and Automation in Industry) |
| 2024 | Received Best CS Khidmat Award at Habib University for launching OpenRobotics Lab |
| 2024 | Published camouflaged object detection research at IEEE IBCAST |