People of INFERENCE Lab
Engineers, researchers, fellows, and open-source contributors dedicated to reproducible research, open-source software, and production-grade AI systems.
Muhammad Khubaib Ahmad
Founder & Director
Muhammad Khubaib Ahmad is the Founder & Director of INFERENCE Lab, leading the *lab’s research, engineering, and open-source initiatives*. His work focuses on building practical, data-driven technologies and mentoring engineers and researchers in applied computing.
Engineers & Researchers
Muzammil Shadab
Research & Mentorship Associate
A Research & Mentorship Associate, supporting research initiatives, mentoring emerging researchers, and contributing to a collaborative culture of learning and inquiry. His work focuses on exploring new ideas, strengthening research skills, and helping others navigate and grow within the research ecosystem.
Muhammad Abdul Moiz
Lead Engineer
Abdul Moiz is the Lead Engineer on `docling-pk`, part of the INFERENCE Lab Engineering Fellowship (Cohort 01).
Khadija Faisal
Operations & Research Associate
Operations & Research Associate, contributing to the organization’s ongoing research while overseeing cohort management and day-to-day operations. Their role bridges research and execution, supporting projects, coordinating cohorts, streamlining workflows, and helping build an effective and collaborative environment for learning and research.
Engineering Fellows & Cohort
Cohort 2026
6
7+
7
Ayesha Anwar
Data Engineer
Ayesha Anwar is an Engineering Fellow at INFERENCE Lab and worked as a Data Engineer on `faker-pk v2.0`, where she designed and implemented a normalized SQLite data layer, developed relational data pipelines and query utilities, and improved the consistency and reliability of synthetic Pakistani data generation.
Sarib Azim
Lead Engineer
Sarib Azim is an Engineering Fellow at INFERENCE Lab (Cohort 2026) and served as a Core Engineer for `voiceMonitor v1.1.0`, contributing across implementation, research, and evaluation. His work focused on developing a vocal load impulse response model, improving personalized baseline calibration, strengthening automated testing and CI, and evaluating the reliability of the voice-monitoring pipeline.
Mahrukh Baig
Lead Engineer
Mahrukh Baig is the Lead Engineer on llm-eval-kit, part of the INFERENCE Lab Engineering Fellowship (Cohort 01). Her focus is on modular Python system design and building developer tools that work reliably offline.
Muhammad Shoaib Altaf
Implementation Engineer
Muhammad Shoaib Altaf is the Implementation Engineer on inference-audit, part of the INFERENCE Lab Engineering Fellowship (Cohort 01).
Warisha Arshad
Evaluation Engineer
Warisha Arshad is the Evaluation Engineer on llm-eval-kit, part of the INFERENCE Lab Engineering Fellowship (Cohort 01). Her focus is on robust quality assurance, adversarial evaluation of AI systems, and creating reliable test fixtures for continuous delivery.
Muhammad Maaz
Implementation Engineer
Muhammad Maaz is the Research/Implementation Engineer on llm-eval-kit, part of the INFERENCE Lab Engineering Fellowship (Cohort 01). His focus is on offline natural language processing, semantic representation, and building deterministic validation systems for generative AI.
Research Collaboration
Academic partners, co-authors, and joint laboratory research fellows collaborating on publications and datasets.
Ujwal Shyam Kantimohanthy
Research Engineer, Implementation Engineer
Ujwal Shyam is a researcher and research collaborator from Italy working with INFERENCE Lab on advancing robust speech emotion recognition. As part of the collaboration, he contributes as an Implementation Engineer and Research Engineer to the project “Disentangled Adversarial Speech Emotion Recognition with Hierarchical Bottleneck Fusion for Cross-Corpus Generalization.” His work focuses on implementing and evaluating the proposed methods, supporting experimental research, and contributing to the development of the research outputs as a co-author.
Sajid Iqbal
Artificial Intelligence Researcher
An Artificial Intelligence researcher affiliated with King Faisal University, Saudi Arabia, collaborating on research projects with INFERENCE Lab. Their research interests include Artificial Intelligence, Natural Language Processing (NLP), and Computer Vision (CV), with a focus on developing intelligent solutions and advancing applied AI research.
Open-Source Collaborators
Developers and engineers actively contributing to INFERENCE Lab open-source repositories and PyPI packages.
Faiez Ahmad
Data Annotator & Validator
An open-source collaborator on RUEmoCorp and RUDASA, two of Roman Urdu’s largest emotion and sentiment corpora. Contributed to data annotation, validation, and quality assurance, helping improve the reliability, consistency, and research value of large-scale Roman Urdu datasets for NLP and sentiment analysis.