Introduction
Overview.
👋 Hello! I’m Arish Shahab, a Biomedical Engineering and Health Sciences student at McMaster University, passionate about fusing technology and healthcare to drive meaningful innovation.
📚 I’ve built hands-on experience through research at Harvard Medical School’s Foot & Ankle Research and Innovation Lab, where I contribute to computational orthopedic modeling, as well as at Johns Hopkins University and Emory University, where I’ve worked on brain-computer interface systems and machine learning for neuroscience. My background spans computational modeling, medical AI, and biomedical device design.
🌱 Alongside research, I lead impactful projects like SupraScan, an AI-powered early detection tool for Progressive Supranuclear Palsy using PET and MRI scans, and Iremia, a stress-tracking wearable offering real-time personalized feedback. These reflect my drive to solve real-world healthcare challenges through innovative engineering and design.
🚀 Outside the lab, I mentor students with research, write for McMaster’s engineering journal The Frequency, and collaborate on projects that advance healthcare technology and innovation.
⚽ Hobbies: Reading, Traveling, Basketball, Working Out, Cooking, Exploring Cutting-Edge Research
💬 Let’s Connect: Biomedical Engineering, Drug Delivery Systems, AI in Healthcare, Medical Research, Neurotechnology, Rehabilitation Innovation
Biomedical Engineering Researcher
Innovative Project Developer
Academic Achiever and Future Medical Professional
Competitive Presenter and Public Speaker
What I have done so far
Work Experience
Software Engineering Intern
Harvard Medical School | Foot & Ankle Research and Innovation Lab
- Designed and implemented software solutions to support computational orthopedic research, including data processing pipelines and custom simulation tools.
- Developed scalable software applications integrating biomechanical models and surgical planning tools, enhancing research efficiency and usability.
- Collaborated closely with biomedical engineers and orthopedic surgeons to translate research needs into robust, user-friendly software products.
Computational Neuroscience Researcher
Johns Hopkins Univeristy | NeuroData Lab
- Developed and optimized machine learning algorithms for analyzing complex neural data to support insights in neuroscience and clinical research.
- Improved computational efficiency of algorithms using advanced data processing techniques, contributing to more accurate and robust research outcomes.
- Collaborated with a multidisciplinary team to design models aimed at understanding neural patterns and enhancing data-driven decision-making in healthcare.
Brain-Computer Interface Researcher
Emory University | SNeL.AI Lab
- Investigated advanced brain-computer interface (BCI) systems focusing on silent speech decoding and neural signal processing.
- Enhanced machine learning pipelines for real-time neural data analysis, improving system accuracy and reducing processing latency.
- Collaborated with cross-institutional teams, contributing to publications and conference presentations on cutting-edge BCI technologies.
Clinical Researcher
Hamilton Health Sciences | Juravinski Hospital
- Conducted a multi-centre longitudinal study on wait times for hip/knee replacements in osteoarthritis patients under Dr. Thomas Wood
- Engineered and maintained a robust SQL and REDCap database for 3,000 patients, improving data retrieval time by 20%.
- Developed advanced machine learning models with over 85% accuracy to predict patient trajectories based on pre-operative symptoms.
- Monitored pre-operative and post-operative pain, functional ability, and opioid use through the administration of standardized questionnaires, including the H/KOOS-JR and EQ5D
Software Engineering Fellow
Headstarter AI
- Built 5+ API apps and APIs using NextJS, OpenAI, Pinecone, StripeAPI with 98% accuracy as seen by 1000 users.
- Developed projects from design to deployment leading 4+ engineering fellows using MVC design patterns.
- Coached by Amazon, Bloomberg, and Capital One engineers on Agile, CI/CD, Git, and microservice patterns.
Biomedical Device Researcher
University of Waterloo
- Collaborated with Professor George Shaker to optimize a ligand-targeted, smart liposomal drug delivery system for ILD treatment.
- Developed machine learning algorithms with Python, TensorFlow, and Keras, improving drug delivery targeting by 15%.
- Utilized AI techniques with Keras and Scikit-learn to analyze large datasets of patient responses and refine drug delivery protocols, enhancing treatment efficacy by 20%.
- Designed and simulated biomedical engineering models using MATLAB and COMSOL to test the behavior of liposomal drug delivery in virtual environments, reducing the need for initial physical trials by 30%.
Pharmacy Assistant
Shoppers Drug Mart
- Assisted pharmacists in dispensing over 1,000 prescription medications to patients weekly.
- Managed inventory, ensuring 98% accuracy in ordering and restocking supplies, utilizing inventory management software.
- Coordinated with insurance companies to verify coverage and managed pre-authorization processes, improving patient access to medications by 20%.
- Utilized pharmacy management software to streamline operations and enhance workflow efficiency.
Robotics Mentor
Canadian School of Young Scholars
- Guided students in designing and programming EV3 and VEX robots using LEGO Mindstorms, leveraging Python and JavaScript.
- Developed and implemented software algorithms using Python and EV3-G to control EV3 robots, improving task completion efficiency by 25%.
- Created a Rubik's Cube solver using advanced algorithms and AI techniques, showcasing practical applications of software engineering.
Programming Languages
Python
Java
JavaScript
C++
HTML
CSS
Frameworks & Libraries
R
React
Next.js
ThreeJS
TailwindCSS
Framer Motion
JavaFX
TensorFlow
Keras
Scikit-learn
Tools & Technologies
AWS
Azure
SQL
MATLAB
COMSOL
Arduino IDE
Raspberry Pi
Google Maps API
REDCap
Git
Certifications
AWS Certified Cloud Practitioner
AWS Certified Machine Learning
My work
Projects
Baymax (Healthcare Robot Assistant)
Baymax Bot is a health and general companion robot designed to provide personalized care for users of all ages. Featuring a custom-trained voice model, a fine-tuned ChatGPT API, and real-time OpenCV emotion detection, the robot delivers tailored medical and emotional support. Built with a Raspberry Pi, motors, servos, voltage regulators, and 3D-printed components.
#Python
#MOSFETs, Voltage Regulators & Motor Controllers
#Tensor Flow
#OpenCV
#Raspberry Pi
#React
#Firebase
#React
FitBud
FitBud is a real-time motion monitoring and workout optimization system that leverages machine learning to classify exercises like bicep curls, providing actionable feedback such as 'move up' or 'move left' to improve form and performance while ensuring accuracy and safety.
#Python
#Machine Learning
#Arduino
#RAG
#C++
#Socket.IO
#React
Aqua Boost
Aqua Boost is an advanced hydration system designed to optimize water intake by utilizing bioimpedance sensors to monitor and analyze the body's hydration levels in real-time, ensuring precise and personalized hydration management.
#MATLAB
#AutoCAD
#SQL
#Raspberry PI
#Keras
Surgery Inventory Tracker
Web application developed to streamline the process of tracking and managing surgery items using AI and ML.
#React
#Next.js
#Material-UI
#Firebase
#GCP
#Vercel
#GPT Vision API
#OpenAI
#CI/CD
MedVault XR
Developed an augmented reality (AR) solution to provide immersive consultations, medication guidance, and chronic disease management. The platform replicates an in-person pharmacy experience virtually, empowering rural patients to understand and use their medications effectively.
#Blockchain
#Augmented Reality
#React
#Firebase
#AR.js
#TailwindCSS
#OpenAI
JellyAR
Created a system that automatically applies augmented reality (AR) effects and visual filters to video clips based on the content of the conversation, enhancing the visual appeal and engagement of the videos.
#Augemented Reality
#Python
#Tensor Flow
#Three JS
#OpenCV
#FFMPEG
Iremia (Raspberry Pi Fitness Tracker)
Developed a Raspberry Pi-integrated fitness tracking and monitoring system that tracks key health metrics and provides real-time feedback to enhance workout effectiveness and health monitoring.
#Raspberry Pi
#Python
#IoT
#Flask
#EMG Sensor
#React
#OpenAI
Islamic Hub
Developed an Advanced Islamic Desktop Companion, calculating prayer times, locating nearby restaurants and mosques, interactive Quran feature, etc.
#JavaFX
#OOP
#JSON
#API
Weather App using Pygame
Developed a Weather App using Pygame, integrating APIs and live-updates through data parsing.
#Python (Pygame)
#JSON
#API
#OpenAI
Portfolio Website
Designed and developed a personal portfolio using ThreeJS to showcase 3D models and animations, creating an interactive and visually impressive user experience.
#React
#Next.js
#ThreeJS
#React Three Fiber
#TailwindCSS
#Framer Motion
My Education
Education.
McMaster University
Integrated Biomedical Engineering and Health Sciences in Biomedical Engineering
2024-2028
💬 What Teammates & Peers Say
“Arish played a pivotal role in engineering the complex backend logic of our prototype. His ability to write clean, functional code while coordinating a smooth construction process was invaluable. His creativity and analytical thinking elevated our project from idea to reality.”
— DP4 Teammate
“Arish consistently demonstrated initiative and technical expertise, especially in programming. His proactive mindset and clear communication made him a pleasure to work with, and his reliability ensured consistent team progress.”
— DP3 Group Member
“Arish maintained a high bar for quality and helped drive the team toward excellence. He cultivated an inclusive, collaborative atmosphere that empowered others to contribute ideas and learn from one another.”
— DP4 Collaborator
“Arish's CAD design and technical problem-solving consistently exceeded expectations. He brought not only strong skills, but also a calm, thoughtful presence that helped steer the team through complex design challenges.”
— Project Peer
“At DECA ICDC, Arish led our team with a rare combination of strategic thinking and interdisciplinary knowledge. His ability to merge healthcare insight with business innovation made a lasting impression on both judges and peers.”
— DECA Teammate
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