Future HealthTech Innovator  ·  CAPM® Certified

Safiya Khan

Computer Science (AI) student building safe, explainable AI for healthcare, from medical imaging and clinical risk models to the systems software underneath them.

Safiya Salman Khan
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Software Engineering✦ Healthcare Technology✦ Artificial Intelligence✦ Project Leadership✦ Blockchain✦ CAPM® Certified✦ Lean Six Sigma✦ Medical Imaging✦ Software Engineering✦ Healthcare Technology✦ Artificial Intelligence✦ Project Leadership✦ Blockchain✦ CAPM® Certified✦ Lean Six Sigma✦ Medical Imaging✦

Bridging code & care

I'm a Computer Science (AI) student with a deep curiosity for how technology can transform healthcare. My work sits at the crossroads of software engineering, AI research, and health innovation — from systems programming and database internals to fairness audits in clinical AI.

When I'm not coding, you'll find me reading about the latest breakthroughs in medical AI, entering Kaggle and hackathon challenges, or writing about the future of health-tech.

25+
Certifications earned
13+
Projects completed
1st
Prize — HandTalk
⟨/⟩

Software Engineering

Building clean, maintainable software, from a database engine and a Unix shell to full-stack web applications.

♡

Healthcare

Leveraging technology to improve patient outcomes and make healthcare more accessible and equitable.

◈

Artificial Intelligence

Exploring machine learning, NLP, and computer vision to solve real-world problems at scale.

Languages
PythonCJavaScriptSQLHTMLCSS
Software Engineering
OOPData Structures & AlgorithmsSystems ProgrammingREST APIsGit/GitHubMakefiles
ML & AI
PyTorchNumPyPandasScikit-learnXGBoostSHAPStreamlitPlotlyHugging FaceSentence TransformersChromaDBGemini APIPydanticPrompt EngineeringFairlearn
Medical Imaging
pydicomOpenCVCNNs (ResNet)Weak Supervision
Web Development
ReactTypeScriptViteTailwind CSS
Tools
VS CodeJupyter NotebookGCCMSYS2/MinGW
Domain Knowledge
Healthcare AI & AnalyticsHIPAA/GDPR FundamentalsAgile/ScrumISO 9001/14001/45001

Where I've worked

Vision to Excellence (V2E)

AI Operations & Transformation Consultant

Freelance · Jul 2026 – Present · Remote

  • Built a 35-document IMS certification package (ISO 9001, 14001, 45001) across a 6-phase audit-readiness roadmap for a client pursuing operational-excellence certification, including gap analysis, a stakeholder-facing kickoff presentation, and a project-tracking dashboard.
  • Delivered a Phase 1 operational audit for an early-stage automation venture, translating client requirements into a quantified operating model covering demand- and supply-side structure.
  • Designed process maps, metadata taxonomies, and standard operating procedures aligned to ISO governance standards.

Independent

Field Research Analyst

Freelance · Jun – Jul 2025 · Riyadh, Saudi Arabia

Collected primary data across 100+ retail locations through structured interviews and on-site market observation, then translated the findings into reports supporting early-stage investment and market-entry decisions.

King Faisal Specialist Hospital & Research Centre

Volunteer, Social Services

Jul – Aug 2023 · Riyadh, Saudi Arabia

Provided bilingual customer service and wayfinding guidance to patients and families across multiple departments of a tertiary-care hospital.

Barrington Behavioral Health LLC

Volunteer, Children's Support

Sep 2023

Designed educational materials for pediatric behavioral health programs.

Academic background

Euclea University

B.Sc. Computer Science (Artificial Intelligence)

Expected Jul 2027 · Riyadh, Saudi Arabia

Relevant coursework: AI, Machine Learning, Data Analytics, Cybersecurity, Healthcare IT Systems.

Al Hussan International School

High School Diploma

2024 · GPA: 3.9 / 4.0

Completed pre-university studies with a strong academic record ahead of pursuing Computer Science (AI) at university level.

Leading & organizing

Euclea University

Co-President, Coding Club

2024 – 2025

Organized technical workshops on Python, web development, and ML; mentored fellow students on software projects.

Al Hussan International School

Secretary General, AHISRMUN

2024

Directed logistics, sponsorship, and delegate training for a 100+ participant Model UN conference.

Al Hussan International School

President, Debate Club

2022 – 2023

Led club operations and competitive debate preparation for member students.

Al Hussan International School

Student Council Member

2021 – 2024

Represented student interests and contributed to school-wide initiatives across four years.

Selected work

01

Medical Imaging  ·  Deep Learning  ·  Kaggle

Sep – Oct 2026

RSNA Knee Abnormality Detection — Multi-Label MRI Classification

A Kaggle research-code competition entry predicting 12 clinical knee findings (ACL and meniscus tears, osteoarthritis, effusion, fracture) from MRI. Only 58 of 4,407 training studies had expert labels, so I generated training targets for the rest from multilingual radiology reports using regex phrase matching with bidirectional negation detection, validated against the expert subset. A multi-plane ResNet18 with a masked loss, trained with 5-fold cross-validation grouped by scanner model to prevent site leakage, reached 0.65 macro-AUC on the expert-labelled holdout and was submitted as a reproducible, internet-disabled notebook.

Python PyTorch pydicom OpenCV Scikit-learn Weak Supervision
View on Kaggle →
02

Healthcare AI  ·  Safety-Critical  ·  Hackathon

Aug – Sep 2026

RescueAI — Emergency Navigation & Clinical Handoff Assistant

Built for RescueHacks, a life-saving-technology hackathon. An AI intake assistant that converts natural-language incident reports into structured data — flagging mechanisms of injury, symptoms, and red-flag safety indicators for emergency escalation. Uses a hybrid architecture pairing Gemini NLP with deterministic safety rules, maintaining 100% assessment availability during API quota/outage conditions via a fallback extraction engine.

Python Gemini API NLP Pydantic Streamlit
View on GitHub →
03

Healthcare AI  ·  Predictive Analytics

Aug 2026

Patient Readmission Risk Predictor

An end-to-end ML pipeline predicting 30-day hospital readmission risk across 100,000+ clinical encounters — preprocessing, feature engineering, Random Forest and XGBoost modeling, and SHAP-based explainability. Deployed as a Streamlit dashboard designed for clinicians, returning per-patient risk scores with SHAP explanations of what drives each prediction.

Python Scikit-learn XGBoost SHAP Streamlit
View on GitHub →
04

Healthcare  ·  Systems  ·  Analytics

HMG Patient Care Command Dashboard

A clinician-facing command dashboard surfacing patient-flow KPIs, department workload metrics, and care-quality indicators for hospital data. Built on a modular data-ingestion pipeline designed to extend to EMR sources, with data handling informed by HIPAA/GDPR principles.

Python Streamlit Healthcare Analytics
View on GitHub →
05

AI Ethics  ·  Healthcare  ·  Fairness

May 2026

AI Triage Bias Auditor

An end-to-end fairness audit pipeline evaluating demographic bias in AI-assisted clinical triage, built on the MIMIC-III Clinical Database Demo, an openly available subset of de-identified ICU admissions. Quantifies disparities across gender, ethnicity, and age — including false-negative rate gaps — using Fairlearn's demographic parity and equalized-odds metrics, surfaced through an interactive dashboard.

Python Fairlearn Streamlit Plotly MIMIC-III Demo
View on GitHub →
06

Hardware  ·  Accessibility

HandTalk

An Arduino-based smart glove that uses flex sensors to capture hand motion and translates gestures or English input into other languages, making communication more accessible across language barriers.

Arduino Flex Sensors Motion Detection NLP
🏆 1st Place
07

Healthcare  ·  Data  ·  Global Health

Healthcare Analytics Dashboard — WHO GHO

A 7-day sprint answering one question: where is clinician workload burden highest, and how does the GCC compare? Built a WHO OData API client with real-data/mock-data fallback, an EDA notebook, and a CLI ingestion script — deployed on Hugging Face Spaces.

Python Streamlit WHO GHO API Hugging Face
View on GitHub →
08

Systems  ·  Databases

Jul 2026

Database Engine (from scratch)

A persistent, file-based relational database engine supporting CREATE TABLE, INSERT, SELECT, UPDATE, and DELETE, with a modular query parser and execution layer. Implemented B-Tree indexing to accelerate lookups over full table scans, along with record management and schema handling.

Python Database Systems B-Tree Indexing
View on GitHub →
09

Systems  ·  C

Command-Line Shell in C

A Unix-inspired shell built from scratch in C — command parsing, built-ins, history tracking, directory navigation, and error handling, organized across modular source/header files with an automated Makefile build.

C GCC Makefile Git
View on GitHub →
10

Machine Learning  ·  From Scratch

MNIST Neural Network From Scratch

A fully connected neural network built using only NumPy — forward propagation, ReLU, softmax, backpropagation, and gradient descent, with modular training, validation, and model-persistence workflows.

Python NumPy Pandas Matplotlib
View on GitHub →
11

Healthcare  ·  Blockchain  ·  Research

Blockchain for Secure Patient Records

An independent research proposal designing a hybrid blockchain architecture for secure, privacy-preserving telemedicine data. Integrates AES-256 encryption, smart contracts, and privacy-enhancing techniques (ABE, ZKP).

Blockchain AES-256 Smart Contracts ZKP
12

Full-Stack  ·  Web

Chess Game

A fully functional browser-based chess application built from scratch with vanilla JavaScript. Features complete chess rules, smooth hover animations, visual turn indicators, and a minimalist premium board aesthetic.

JavaScript HTML CSS
View on GitHub →
13

Python  ·  CLI

Task Manager CLI

A command-line task manager built in Python with colour-coded priorities, task filtering by status and priority, input validation, and a clean terminal UX using Colorama.

Python Colorama CLI
View on GitHub →

Thoughts & writing

02

AI Ethics · Healthcare · Fairness

I Audited an AI Triage Algorithm for Bias. Here's What I Found.

Bias in clinical AI gets talked about in the abstract a lot. I ran the numbers on a simulated triage system using real ICU data — and the gaps weren't where I expected them to be.

✦ Read post →
03

Systems · Software Engineering

What Building a Database Engine Taught Me About Trusting Software

Every app I'd built before this treated the database as a black box. Then I tried building one. Here's what changed about how I think about the software I use every day.

✦ Read post →
04

AI · Healthcare Equity · Global Health

Can Algorithms Save Lives Where Doctors Are Scarce?

AI triage in low-resource settings is one of the most promising ideas in global health — and one of the most dangerous if we get it wrong. The technology is improving. The data it learns from is not.

✦ Read post →
05

Health Equity · HealthTech

The Algorithm Doesn't See You

HealthTech promises to democratise care. But when the systems we build are trained on the few and deployed on the many, innovation doesn't close the gap — it widens it.

✦ Read post →
06

Blockchain · Privacy

Why Patient Data Deserves Better Than a Password

After researching blockchain architectures for telemedicine, I became convinced that our current approach to health data privacy is fundamentally broken.

✦ Read post →
07

Project Management

What Earning My CAPM® Taught Me About Leading Tech Projects

Project management isn't just Gantt charts and status meetings. Here's what the CAPM® certification actually changed about how I think about building things.

✦ Read post →
08

Project Management · HealthTech

We Keep Building the Right Things Wrong

HealthTech's crisis isn't a shortage of good ideas. It's a shortage of structured delivery. And after earning my CAPM, I can't stop seeing exactly where the cracks are.

✦ Read post →
09

Book Reviews · HealthTech · AI

Three Books Every HealthTech Thinker Should Read

A vision, a reality check, and a warning. Topol, Wachter, and O'Neil — read in this order and you'll understand both the enormous promise of digital health and exactly why it keeps failing to deliver.

✦ Read post →

Selected certifications

◈

Project Management Institute

Active · Expires Aug 2028

Certified Associate in Project Management (CAPM®)

Issued Aug 2025 · ID: 4175310

Project Management Agile PMI
⬡

Anexas Europe

Black Belt

Certified Lean Six Sigma Black Belt

Issued Sep 2025 · ID: 4068-175-926-2669

DMAIC TQM FMEA
◇

McKinsey & Company

Leadership

McKinsey Forward Program

Issued Dec 2024

Leadership Critical Thinking Strategy
⊕

Stanford University

Healthcare AI

Fundamentals of Machine Learning for Healthcare

Coursera · 2025

Machine Learning Healthcare IT Clinical AI
⊞

Microsoft

Analytics

Introduction to End-to-End Analytics using Microsoft Fabric

Issued Dec 2025

Data Analytics Microsoft Fabric BI
∞

+ Many More

Further Credentials

BCG Generative AI · Deloitte Data Analytics · AIG Cybersecurity · Google AI Essentials · Harvard Improving Global Health: Quality & Safety · Univ. of Maryland Data Science & Agile Systems for PM · Erasmus Cybersecurity in Healthcare · Johns Hopkins Genomics · and more

AI Cybersecurity Bioinformatics Global Health Data

Let's
connect.

Email sofia.khan4706@gmail.com ↗ Research safiya.salkhan@gmail.com ↗ LinkedIn Safiya Salman Khan ↗ GitHub safiyakhan46 ↗