Professional portrait of Dr. Ijazul Haq

Curriculum Vitae · Academic Profile

Ijazul Haq

PhD / Postdoc in NLP & Generative AI · AI Research Engineer

I design and deploy generative, multimodal, and healthcare AI systems, with a focus on low-resource NLP and clinical assistants. I lead a five-engineer team and publish in high-impact venues.

Guangzhou, China Lower Dir, Pakistan mail@ijaz.me

QS World University Rankings · Top 500

Three degrees and certificates from the global top 500

01 — Introduction

About

Dr. Ijazul Haq is an AI Research Engineer at Guangdong Casangels Biotechnology Co., Ltd. and recently completed a joint postdoc at South China University of Technology (QS #342). He holds a PhD in Cyberspace Security from Shanghai Jiao Tong University (QS #36), focused on NLP, generative AI, and low-resource language technology.

He leads a five-engineer team across the full AI lifecycle—data, training, evaluation, and deployment of assistants, chatbots, and agents—chiefly in healthcare and dentistry. He also holds an MS from Wuhan University (QS #165) and a BS in Software Engineering from the University of Malakand.

Public resources include NLPashto, PsBERT, PsOCR, and the COde dental dataset, released on Hugging Face, GitHub, PyPI, and Kaggle.

Generative AI Low-resource NLP LLMs & VLMs Multimodal medical AI Agentic systems Explainable AI OCR OSN security

02 — Experience

Appointments

Feb 2024 — Present

AI Research Engineer

Guangdong Casangels Biotechnology Co., Ltd. · Guangzhou, China

Lead a team of five AI engineers designing and deploying AI solutions across domains, with emphasis on healthcare and dentistry. Develop and customize large models for production use. Responsible for the complete lifecycle: data collection, preprocessing, training, fine-tuning, evaluation, and deployment, including AI assistants, chatbots, and autonomous agents.

Feb 2024 — Jan 2026

Postdoctoral Fellow (Joint)

South China University of Technology (QS #342) with Casangels

Completed a two-year joint postdoctoral fellowship. Research concentrated on generative AI, low-resource NLP, and computer vision, producing multiple papers in high-impact journals. Concurrently translated experimental findings into deployable healthcare AI systems, bridging academic research and industrial R&D.

Jan 2021 — Jul 2021

Visiting Lecturer

University of Malakand · Pakistan

Taught undergraduate courses in Database Systems, Programming Fundamentals, Boolean Algebra, Web Engineering, and Machine Learning Basics. Evaluated students, conducted examinations, and supervised independent academic research.

Dec 2018 — Aug 2019

AI Engineer (Internship)

CFTX · Shanghai, China

Preprocessed time-series financial data for models predicting cryptocurrency market trends. Built web platforms for data collection and annotation to support the data-engineering pipeline at a fintech firm during doctoral studies.

Jan 2018 — Jul 2018

Teaching Assistant

Wuhan University · Software Engineering Department, China

Supported undergraduate teaching during the final six months of the master’s program: lectures, laboratory sessions, and examination invigilation under faculty supervision.

03 — Education

Degrees and formation

PhD · 2018.09 – 2023.12

Shanghai Jiao Tong University

China · QS World University Rankings #36 · Department of Cyberspace Security

Five-year doctorate applying NLP and generative AI to online social-network security: content analysis and detection of offensive behavior, including cyberbullying and harassment. Developed state-of-the-art models for low-resource languages and published multiple high-quality papers in this domain.

MS · 2016.09 – 2018.06 · GPA 3.53/4

Wuhan University

China · QS #165 · School of Computer Science

Software Engineering and Blockchain Technology. Research on blockchain applications in supply-chain management and prevention of counterfeit pharmaceuticals.

BS · 2011.02 – 2015.06 · GPA 3.7/4

University of Malakand

Pakistan · Software Engineering

Four-year degree with a strong theoretical foundation in software engineering and computer science, practical software development, and early independent research training.

DAE · 2007.08 – 2010.12

Government College of Technology, Timergara

Pakistan · Diploma of Associate Engineering in Electronics Technology

Three-year diploma covering electronic equipment, circuit design, and computer hardware—the systems foundation for subsequent work in software engineering and AI.

04 — Languages & technical stack

Linguistic and engineering range

Technical practice covers the modern generative-AI stack as well as classical machine learning and production engineering.

AI methods. Machine learning, deep learning, NLP, computer vision, multimodal AI, generative AI, agentic AI, assistants, and chatbots. Training and fine-tuning; RAG; RLHF; quantization; PEFT; LoRA; PPO; DPO. Synthetic data generation, augmentation, and knowledge distillation. Benchmarking, evaluation, and explainable AI (SHAP, LIME).

Architectures. CNNs, RNNs, Transformers, large language models, vision-language models, and diffusion models. Embeddings (Word2Vec, FastText, GloVe) and vector databases (FAISS, Pinecone, Milvus).

Engineering. Python, PyTorch, TensorFlow, NumPy, Pandas, LangChain, LLaMA-Factory, vLLM, SGLang, and agent-orchestration frameworks. Model deployment, REST APIs, Azure, AWS, and web platforms in PHP, MySQL, HTML, CSS, and JavaScript.

05 — Awards & grants

Competitive funding

Shanghai Municipal Government Scholarship

Fully funded doctoral scholarship at Shanghai Jiao Tong University covering tuition, living expenses, accommodation subsidies, and medical insurance. Awarded September 2018.

≈ $90K

Chinese Government Scholarship (CSC)

Fully funded master’s scholarship at Wuhan University covering tuition, living expenses, accommodation allowance, and medical insurance. Awarded September 2016 by the China Scholarship Council.

≈ $40K

06 — Selected publications

Research record

Peer-reviewed work in generative-model evaluation, low-resource Pashto NLP, multimodal dental AI, software analytics, and social-media safety. Venues include Nature Scientific Data, Expert Systems with Applications, Ain Shams Engineering Journal, Information and Software Technology, and Language Resources and Evaluation.

07 — Featured projects

Systems delivered

Oct 2026 · Current

AI Agent for Automated Dental Implant Design

An agent that automates implant planning from a single CBCT scan. The system identifies missing teeth and anatomical locations, then generates patient-specific 3D implant designs (width, height, diameters, angulation), replacing a workflow that otherwise requires specialized oral-scanning hardware and hours to days of clinical analysis.

Jan 2026

Chatbot for a Smart Breathing Trainer Device

LLM assistant inside a respiratory-rehabilitation product that pairs a sensor device with a mobile app. The assistant teaches device use and exercises, analyzes historical breathing performance, and produces personalized training plans, difficulty recommendations, and feedback.

Oct 2025

PsOCR: One Million Pashto OCR Images

First large-scale public Pashto OCR dataset: one million synthetically generated images annotated at token, line, and document levels with bounding boxes, covering 1,000 font families and extensive layout variation. Addresses OCR for Pashto and other low-resource Perso-Arabic scripts.

huggingface.co/datasets/zirak-ai/PashtoOCR
May 2025

AI Assistant for Nasopharyngeal Carcinoma Management

Clinical assistant that consumes multimodal patient data—histories, imaging, laboratory tests—to support treatment selection, prescription assistance, personalized plans, and oncologist decision-making for NPC.

Oct 2024

Large Multimodal Model for Oro-dental Healthcare

Led construction of a dental AI dataset from 9,000 checkups of 4,800 patients (ages 10–90): 50,000 intraoral RGB images, 9,000 radiographs, and structured clinical text. Extracted 120+ conditions. Built an LMM assistant that accepts X-rays, CBCT, intraoral photos, and text to classify anomalies and recommend diagnosis, treatment, and follow-up.

huggingface.co/datasets/zirak-ai/COde
May 2024

Predicting Post-Treatment Dental Outcomes with VLMs

Diffusion-based (DALL·E 2) tool that predicts post-treatment oral appearance from clinical photographs. Two modes: clinician-highlighted anomaly regions, or automatic region detection before synthesis, giving patients and dentists a visual forecast of outcomes.

Jun 2023

NLPashto: NLP Toolkit for Pashto

Python library on PyPI with datasets and models for cleaning, tokenization, segmentation, POS tagging, NER, offensive-language detection, embeddings, and Pashto BERT—foundational infrastructure for a previously underserved language.

github.com/zirak-ai/nlpashto
Mar 2023

Offensive Content Detection for Online Social Networks

Public Pashto offensive-language dataset (Kaggle) used to fine-tune PsBERT for sentiment and toxicity classification, supplying content-moderation resources for a low-resource language.

Dec 2022

PsBERT: First Monolingual Pashto BERT

Monolingual BERT trained from scratch on a purpose-collected Pashto corpus and released on Hugging Face. Widely reused as a foundation model for downstream Pashto NLP tasks.

huggingface.co/zirak-ai/pashto-bert-v1

09 — Correspondence

Contact

For academic collaboration, invited talks, research partnerships, and professional inquiries, write to the address below. This site is the canonical public curriculum vitae for Dr. Ijazul Haq.