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Our Team & Cohorts

People of INFERENCE Lab

Engineers, researchers, fellows, and open-source contributors dedicated to reproducible research, open-source software, and production-grade AI systems.

Leadership
Muhammad Khubaib Ahmad

Muhammad Khubaib Ahmad

Founder & Director

Founder & DirectorTeam LeadAI Research Engineer

Muhammad Khubaib Ahmad is the Founder and 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.

Core Team

Engineers & Researchers

Muzammil Shadab

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.

Python PackagingSpeech RecognitionPyTorchFastAPI
Khadija Faisal

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.

NLP AnnotationEmotion ClassificationDataset CurationHuggingFace
Engineering Fellows

Engineering Fellows & Cohort

Cohort

Cohort 2026

Engineering Fellows

2

Projects Completed

7+

Journals Published

2

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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.

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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.

Collaborations

Research Collaboration

Academic partners, co-authors, and joint laboratory research fellows collaborating on publications and datasets.

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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.

Open Source

Open-Source Collaborators

Developers and engineers actively contributing to INFERENCE Lab open-source repositories and PyPI packages.

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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.