Ahmad Khaliq is a Senior Data Scientist with 6+ years applying AI to shipping, insurance pricing, and autonomous systems, currently driving data-driven innovation at Hastings Direct while pursuing part-time PhD research in robotics. He led the design and deployment of a large-scale event-driven digital twin and simulator at MSC to optimize empty container repositioning and resource allocation using GNNs, multi-agent RL, and transformers. Comfortable moving models from research to production, he combines deep learning and systems skills (PyTorch, Spark, Airflow, Kubernetes) with hands-on engineering in SQL, cloud platforms, and virtualization. His background spans FPGA and networking work to practical logistics solutions, giving him a rare mix of low-level systems experience and high-level AI modeling. He’s particularly interested in translating visual and graph-based representations into operational policies that reduce unnecessary transport and storage. Based in the UK, Ahmad pairs academic rigor with enterprise delivery to solve complex supply-chain and autonomy challenges.
4 years of coding experience
5 years of employment as a software developer
Master of Science (by Dissertation) in Computing & Electronic Systems, (Deep Learning, Loop-Closure detection), Master of Science (by Dissertation) in Computing & Electronic Systems, (Deep Learning, Loop-Closure detection) at University of Essex
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at National University of Sciences and Technology (NUST)
A simple, fast Python package that finds Persian(Farsi) words similarities.
Contributions:14 commits, 2 PRs, 13 pushes in 1 month
pythonaideep-learningfarsifarsi-nlp
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