Iqra.

Iqra Muhammad

PhD ML Researcher | Clinical AI & RAG Architect | Regional Winner @ Ignite

Overview

PhD-level Machine Learning Researcher specializing in Clinical NLP, Knowledge Graphs, and LLM architectures. I bridge the gap between academic rigor and production-ready medical AI, most notably leading the award-winning MynEdge maternal health platform. With a background in teaching and mentoring 50+ researchers, I focus on building HIPAA-compliant, multi-agent systems that solve high-stakes healthcare challenges. Currently listed with 14 publications in medical AI and NLP venues.

Experience

2025 – Present

PART_TIME

ML Researcher

Smart Ends

Belgium (Remote)

Lead a cross-functional ML team delivering end-to-end NLP pipelines, predictive models, and data-driven decision systems for enterprise clients. Evaluate and integrate large language models and transformer-based architectures; mentor junior ML engineers and data scientists.

•Lead a cross-functional ML team delivering end-to-end NLP pipelines, predictive models, and data-driven decision systems for enterprise clients.

•Evaluate and integrate large language models and transformer-based architectures; mentor junior ML engineers and data scientists.

NLPLLMTransformers

2025 – Present

WORK

ML Researcher

MynEdge — Maternal AI Platform

Lead a multidisciplinary research team building an AI-driven maternal-health platform combining NLP, risk-prediction models, and conversational AI for low-resource clinical settings. Directed the technical strategy that won Regional Winner at the Pakistan Ignite National Technology Fund Championship (2025), a government-backed innovation grant. Own the AI/ML research roadmap — risk-triage models, NLP patient-communication tools, clinical knowledge integration — and coordinate ML engineers, clinical advisors, and developers to move prototypes into deployable product features. Established data-governance and privacy-preserving protocols for sensitive health data; mentor junior researchers and report progress to funders and government stakeholders.

•Lead a multidisciplinary research team building an AI-driven maternal-health platform combining NLP, risk-prediction models, and conversational AI for low-resource clinical settings.

•Directed the technical strategy that won Regional Winner at the Pakistan Ignite National Technology Fund Championship (2025), a government-backed innovation grant.

•Own the AI/ML research roadmap — risk-triage models, NLP patient-communication tools, clinical knowledge integration — and coordinate ML engineers, clinical advisors, and developers to move prototypes into deployable product features.

•Established data-governance and privacy-preserving protocols for sensitive health data; mentor junior researchers and report progress to funders and government stakeholders.

Key Achievements

→Won Regional Winner at the Pakistan Ignite National Technology Fund Championship (2025).

NLPRisk-prediction modelsConversational AI

Mar 2026

WORK

ML Researcher

Preply

Remote

Advise clients on LLM architecture, RAG pipeline design, multi-agent system design, and production deployment of AI systems. Delivered HIPAA-compliant clinical decision-support and medical NLP solutions for healthcare clients. Ran feasibility assessments, vendor evaluations, and architecture reviews for technical and executive stakeholders.

•Advise clients on LLM architecture, RAG pipeline design, multi-agent system design, and production deployment of AI systems.

•Delivered HIPAA-compliant clinical decision-support and medical NLP solutions for healthcare clients.

•Ran feasibility assessments, vendor evaluations, and architecture reviews for technical and executive stakeholders.

Key Achievements

→Redesigned the RAG retrieval strategy for a client's clinical-support system, cutting hallucinated responses by 50%.

→Reduced average query latency across a 1000 document knowledge base.

LLMRAGMulti-agent systemsNLP

Dec 2023 – Dec 2025

WORK

Lecturer

FAST-NUCES

Lahore, Pakistan

Designed and delivered research-informed curricula in Data Science and Deep Learning, integrating LLMs, neural architectures, and responsible-AI practice. Delivered advanced instruction in CNNs, RNNs, and Transformers; ran applied labs in PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers. Supervised and assessed 50+ final-year undergraduate and postgraduate research projects in AI and machine learning.

•Designed and delivered research-informed curricula in Data Science and Deep Learning, integrating LLMs, neural architectures, and responsible-AI practice.

•Delivered advanced instruction in CNNs, RNNs, and Transformers; ran applied labs in PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers.

•Supervised and assessed 50+ final-year undergraduate and postgraduate research projects in AI and machine learning.

Key Achievements

→Designed and implemented a department-wide Data Science and Deep Learning curriculum reaching 500 students annually.

→Redesigned the AI/ML course sequence to integrate LLMs and responsible-AI practice, now the standard for 5 core courses.

→Supervised and assessed 50+ final-year undergraduate and postgraduate research projects.

LLMCNNRNNTransformersPyTorchTensorFlowScikit-learnHugging Face

2023 – 2023

INTERNSHIP

Research Intern

British Airways Executive Club Project, University of Liverpool

Customer behavioural analysis and journey mapping.

•Customer behavioural analysis and journey mapping.

Aug 2019 – 2023

WORK

ML Researcher

University of Liverpool

United Kingdom

Conducted research in natural language processing and clinical AI, completed in 3.3 years. Developed GRAB-Rank (BERT + knowledge-graph-embedding framework for biomedical document ranking) and OIE4KGC (open information-extraction pipeline for automated knowledge-graph construction from unstructured biomedical text). Collaborated with NHS-affiliated clinical trialists and biostatisticians (Prof. Pamela Williamson, Dr Carrol Gamble) on real-world clinical-trial literature curation and validation. Published 7 peer-reviewed papers in Springer LNCS/LNAI/AISC venues; supervised undergraduate CS final-year research projects.

•Conducted research in natural language processing and clinical AI, completed in 3.3 years.

•Developed GRAB-Rank (BERT + knowledge-graph-embedding framework for biomedical document ranking) and OIE4KGC (open information-extraction pipeline for automated knowledge-graph construction from unstructured biomedical text).

•Collaborated with NHS-affiliated clinical trialists and biostatisticians (Prof. Pamela Williamson, Dr Carrol Gamble) on real-world clinical-trial literature curation and validation.

•Published 7 peer-reviewed papers in Springer LNCS/LNAI/AISC venues; supervised undergraduate CS final-year research projects.

Key Achievements

→Published 7 peer-reviewed papers in Springer LNCS/LNAI/AISC venues.

NLPBERTKnowledge Graph EmbeddingsOpen Information Extraction

Sep 2018 – Aug 2019

WORK

Lecturer Computer Science

Air University

Islamabad, Pakistan

Delivered instruction in C++ and Python for the BS Computer Science program; supervised 10 undergraduate research/dissertation projects and monitored weekly progress.

•Delivered instruction in C++ and Python for the BS Computer Science program.

•Supervised 10 undergraduate research/dissertation projects and monitored weekly progress.

C++Python

Project Portfolio

PROFESSIONAL

Present

MynEdge Maternal AI Platform

Lead Researcher

AI-driven maternal-health platform combining NLP, risk-prediction models, and conversational AI for low-resource clinical settings. Won Regional Winner at the Pakistan Ignite National Technology Fund Championship.

NLPRisk-prediction modelsConversational AI

ACADEMIC

Present

GRAB-Rank

Researcher

BERT + knowledge-graph-embedding framework for biomedical document ranking.

BERTKnowledge Graph Embeddings

ACADEMIC

Present

OIE4KGC

Researcher

Open information-extraction pipeline for automated knowledge-graph construction from unstructured biomedical text.

Open Information ExtractionKnowledge Graph Construction

Education

2015 – 2018

Master of Science (MS)

National University of Sciences and Technology (NUST)Specialization in Software Engineering

Thesis: Automated curation and ranking of biomedical literature using transformer models and knowledge graph embeddings

Relevant Coursework

Machine learningSentiment analysisSpam detection

2010 – 2014

Bachelor of Science (BS)

Ghulam Ishaq Khan Institute (GIKI)Specialization in Software Engineering

Impact & Recognition

Awards

Pakistan Ignite National Technology Fund Championship · 2025

Regional Winner, MynEdge maternal AI platform

Government-backed innovation grant

TMRP UK · 2019

TMRP UK Doctoral Training Partnership Scholarship

Competitive national doctoral funding

Google · 2018

Google Summer of Code

Open-source contribution under expert mentorship

National University of Sciences and Technology (NUST)

NUST Masters Scholarship

Full merit award

Beaconhouse School System

GCE A-Levels Scholarship

Patents & Publications

2022 · PUBLICATION

Query Resolution of Literature Knowledge Graphs Using Hybrid Embeddings

SGAI 2022, Lecture Notes in Computer Science, Springer.

Team:Coenen, F. · Gamble, C. · Kearney, A. · Williamson, P.

2021 · PUBLICATION

GRAB-Rank: Document Ranking Using BERT and Knowledge Graph Embeddings

DaWaK 2021, Lecture Notes in Computer Science, Springer.

Team:Bollegala, D. · Coenen, F. · Gamble, C. · Kearney, A. · Williamson, P.

2020 · PUBLICATION

OIE4KGC: Open Information Extraction for Knowledge Graph Construction

DEXA 2020, Lecture Notes in Computer Science, Springer.

Team:Kearney, A. · Gamble, C. · Coenen, F. · Williamson, P.

2020 · PUBLICATION

Maintaining Curated Document Databases Using a Learning to Rank Model

SGAI 2020, Lecture Notes in Artificial Intelligence, Springer.

Team:Bollegala, D. · Coenen, F. · Gamble, C. · Kearney, A. · Williamson, P.

2018 · PUBLICATION

Temporal Spam Identification: A Multifaceted Approach to Identifying Review Spam

IntelliSys 2018, Advances in Intelligent Systems and Computing Vol. 2, Springer. (94% accuracy; 223 reads)

Team:Qamar, U. · Khan, F.H.

2018 · PUBLICATION

A Systematic Review of Time Series Based Spam Identification Techniques

IntelliSys 2018, Advances in Intelligent Systems and Computing Vol. 1, Springer.

Team:Qamar, U. · Noureen, R.

2018 · PUBLICATION

InstaSent: A Novel Framework for Sentiment Analysis Based on Instagram Selfies

IntelliSys 2018, Advances in Intelligent Systems and Computing Vol. 1, Springer.

Team:Noureen, R. · Qamar, U. · Khan, F.H.

Social Impact & Activities

2024 – Present

atomcamp

AI Bootcamp Lead

Co-led applied NLP/LLM/RAG bootcamp for 50+ professionals.

EngagementMENTOR

2021 – 2024

Code First Girls UK

Course Instructor

Delivered data science/ML courses to 85+ women entering tech.

EngagementMENTOR

FAQs

Frequently Asked Questions

Skills & Interests

NLP

TECHNICAL

BERT

TECHNICAL

Transformers

TECHNICAL

RAG

TECHNICAL

Hugging Face

TOOL

LLMs

TECHNICAL

Scikit-learn

TOOL

PyTorch

TOOL

Python

TECHNICAL

Knowledge Graphs

TECHNICAL

Open IE

TECHNICAL

Multi-agent systems

TECHNICAL

LangChain

TOOL

Prompt Engineering

TECHNICAL

spaCy

TOOL

NER

TECHNICAL

TensorFlow

TOOL

Relation Extraction

TECHNICAL

Computational Pathology

TECHNICAL

Histopathology Image Classification

TECHNICAL

Pinecone

TOOL

PostgreSQL

TOOL

CrewAI

TOOL

Fine-tuning

TECHNICAL

Django

TOOL

LangGraph

TOOL

Docker

TOOL

FastAPI

TOOL

ChromaDB

TOOL

MCP

TECHNICAL

AWS

TOOL

n8n

TOOL

JavaScript

TECHNICAL

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Overview

Experience

ML Researcher

ML Researcher

Key Achievements

ML Researcher

Key Achievements

Lecturer

Key Achievements

Research Intern

ML Researcher

Key Achievements

Lecturer Computer Science

Project Portfolio

MynEdge Maternal AI Platform

GRAB-Rank

OIE4KGC

Education

Master of Science (MS)

Relevant Coursework

Bachelor of Science (BS)

Impact & Recognition

Awards

Regional Winner, MynEdge maternal AI platform

TMRP UK Doctoral Training Partnership Scholarship

Google Summer of Code

NUST Masters Scholarship

GCE A-Levels Scholarship

Patents & Publications

Query Resolution of Literature Knowledge Graphs Using Hybrid Embeddings

GRAB-Rank: Document Ranking Using BERT and Knowledge Graph Embeddings

OIE4KGC: Open Information Extraction for Knowledge Graph Construction

Maintaining Curated Document Databases Using a Learning to Rank Model

Temporal Spam Identification: A Multifaceted Approach to Identifying Review Spam

A Systematic Review of Time Series Based Spam Identification Techniques

InstaSent: A Novel Framework for Sentiment Analysis Based on Instagram Selfies

Social Impact & Activities

AI Bootcamp Lead

Course Instructor

FAQs

Do you have your own laptop and reliable transport for commuting to partner school sites?

Are you familiar with Arduino? Briefly describe a hardware-based robotics project you have built using Arduino or a similar platform.

You’re in the middle of a robotics session and a student's hardware isn't working, while three others are asking for help at once. How do you handle the room?

Skills & Interests

NLP

BERT

Transformers

RAG

Hugging Face

LLMs

Scikit-learn

PyTorch

Python

Knowledge Graphs

Open IE

Multi-agent systems

LangChain

Prompt Engineering

spaCy

NER

TensorFlow

Relation Extraction

Computational Pathology

Histopathology Image Classification

Pinecone

PostgreSQL

CrewAI

Fine-tuning

Django

LangGraph

Docker

FastAPI

ChromaDB

MCP

AWS

n8n

JavaScript

Let's Connect

Talk to AI Iqra