Iqra.
Kanvis
Iqra Muhammad

Iqra Muhammad

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

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

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