Services
These are practical ways I can help. The language below is for students, clinics, universities, and organisations—not a list of journal papers. I do not diagnose patients or replace a licensed clinician.
To enquire, use the contact form. University courses I teach are listed on Teaching.
Hospitals, labs, and research groups
Help you judge whether a computer can usefully read medical pictures—and design a careful test if it can.
I work with skin photographs, brain scans, blood-cell (bone marrow) images, thyroid images, breast ultrasound, and related cancer-imaging problems. I can review your images and labels, propose a model, and explain what the numbers mean. This is research and system design. It is not a diagnosis for a named patient.
Software teams and research labs
Build or review systems that classify pictures, find objects in them, or cope with noisy, low-contrast images.
If your photos are messy, dark, or hard for a standard network, I can help choose between convolutional models, vision transformers, and hybrid designs. Typical outcomes are a written method, a training plan, and an honest report of accuracy and failure cases.
Clinicians, students, and project owners
Show why a model attended to a region of an image, in language a non-programmer can follow.
Attention maps and related explainable-AI methods are useful as a check: they can reveal that a model is looking at a label or a ruler instead of the lesion. I can add these checks to a project and help you read them without treating them as automatic proof.
Students, staff, and working professionals
Short courses and workshops: Python, machine learning, data analysis, and applied AI projects.
I teach data science, artificial intelligence, and business analytics, including sessions such as Python for machine learning. Training can be a guest lecture, a multi-day workshop, or a structured module with assignments. The aim is that participants can run a small project themselves, not only watch slides.
Managers and administrative teams
Turn spreadsheets and databases into clear charts so a decision-maker can see the pattern in minutes.
I use Power BI, Tableau, Excel, and SQL. Typical work is a dashboard for enrolment, operations, or research KPIs, with the data source documented so the report can be updated later.
Universities, documentation teams, and research groups
Help your documents answer questions using your own files, instead of a chatbot that invents citations.
Natural language processing covers reports and scientific text. Large language models can draft and summarise. Retrieval-augmented generation (RAG) first finds a passage in a collection you control, then writes an answer you can check. I can design this kind of search for lecture notes or papers. I will not present a chatbot as a doctor.
Universities and institutes
Advice on admissions systems, learning platforms, campus networks, and IT service design.
I have administered university information technology at the University of Gujrat, including admissions workflows, learning management systems, and campus infrastructure. I can review a current setup, propose a staged plan, and train staff who will run it.
Postgraduate students and early-career researchers
Supervise or advise a thesis or project in medical AI, computer vision, or applied data science.
Recent supervision includes AI for breast-cancer imaging, explainable models for multimodal breast diagnosis, and deep learning for thyroid carcinoma. Mentoring covers problem framing, method choice, writing, and an honest statement of what is published versus still under review.
Departments and training centres
Design courses in data science, AI, and business analytics that students can actually complete.
This includes outcome-based education, assessment design, and modules such as predictive analytics, data governance, and applied AI projects. The service is a syllabus, assessments, and teaching notes—not a branded degree on my behalf.
Conference roles, coordinating duties, and training recorded on the CV.