Sepehr Behroozi
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Sepehr Behroozi Esfahani

Computing Science Spec. Graduate @UAlberta | Software/Web Developer | AI Researcher

About Me

Full-stack developer passionate about elegant solutions

Specializing in intelligent systems and data-driven apps

Committed to continuous learning and innovation

Strong collaborator with excellent communication skills

I combine technical expertise with creative problem solving to build impactful software solutions that drive business success.

Sepehr Behroozi

Education & Achievements

University of Alberta – BSc, Specialization in Computing Science (Sept 2021 – May 2025)

Experience

Business Support Administrator – NWR

  • Attend cross-functional team meetings and document minutes for distribution and official records
  • Maintain and update internal databases and records to ensure data accuracy and easy access
  • Track action items and deliverables, ensuring timely completion and follow-ups with responsible teams
  • Prepare and format business reports, internal documents, and presentations for operational and management use
  • Support daily administrative operations, including file organization, inbox management, and internal communications
  • Schedule meetings, book conference rooms, and coordinate calendars for team leads and department heads
  • Perform data entry and manage spreadsheets to support basic reporting and trend analysis
  • Ensure all documentation and communications comply with confidentiality and corporate data handling standards

Research Assistant – University of Alberta (Greiner Lab)

  • Conduct machine learning research in cognitive health under the supervision of Dr. Russell Greiner
  • Contribute to the ICASSP 2025 SPGC Challenge using semantic, phonemic, and demographic data
  • Explore self-supervised learning methods and leverage pretrained models to improve F1-score, recall, precision, and RMSE
  • Attend and contribute to weekly research meetings on survival analysis, cardiovascular risk modeling, and medical ML applications
  • Design logistic regression models using linguistic and demographic features to forecast clinical outcomes
  • Implement layered regression approaches (e.g., KNN, matrix factorization) to estimate MMSE scores from patient data
  • Built data pipelines and evaluation tools in Python using NumPy, Scikit-learn, Seaborn, and Matplotlib
  • Applied NLP techniques (NLTK, WordNet) to extract language features associated with cognitive decline
  • Collaborated with Alberta Health Services to develop Vision-Language Models (VLMs) for multimodal ECG analysis
  • Contributed to improving model explainability, robustness, and clinical interpretability in healthcare-focused AI
Code

Software Engineer Intern – NotJustYou

  • Developed the Medical Wallet to securely store prescriptions, medical history, and insurance details
  • Implemented camera functionality for users to scan and upload medical documents and receipts
  • Designed and built the health Tracker for logging symptoms, appointments, and hospital visits
  • Contributed to the health journaling feature and explored open-source tools (RedNotebook, Journaley) for inspiration
  • Integrated GPT-based AI tools to simplify complex medical information for users in real-time
  • Designed a calming and accessible interface using React Native + Material UI, tailored for medical settings
  • Collaborated in an Agile team to implement feedback and enhance usability and accessibility
  • Conducted user testing with chronic illness patients to refine features based on real-world needs
  • Helped select and integrate MongoDB (NoSQL) for back end and deployed to Cybera
  • Contributed to project documentation including the Executive Summary, Glossary, MoSCoW, and Requirement Matrix
Code Demo

Web Developer – Student Team for Alberta Rocketry Research (STARR)

  • Develop and maintain full-stack features for STARR’s official website using React and Node.js
  • Led migration from a Wix-based site to a custom-built solution using Next.js for enhanced flexibility and performance
  • Integrated Firebase for real-time database functionality and Tailwind CSS for responsive, modern UI styling
  • Implemented SQL-based solutions to manage contact form submissions and internal inquiries
  • Utilize GitHub for version control and collaborative development within a multidisciplinary student team
  • Ensure web accessibility, responsiveness, and maintainability across devices and platforms
Code

Coding Tutor – Road To A

  • Provide personalized tutoring sessions in Python and C for high school and university students
  • Break down complex coding concepts like recursion, memory management, and OOP into clear, engaging lessons
  • Create custom tutorials and coding challenges to reinforce core topics and encourage hands-on learning
  • Adapt teaching methods to suit each student’s learning style, interests, and academic goals
  • Mentor students through debugging, project development, and exam preparation with a focus on problem-solving
  • Track student progress and adjust lesson plans to ensure continuous growth and confidence in coding
  • Introduce best practices in clean code, version control (Git), and project structure where applicable

Projects

Relay

  • Developed a decentralized social networking platform supporting cross-node communication via a RESTful API
  • Designed an inbox-based system to distribute posts, comments, and likes across federated servers
  • Implemented user authentication, follow requests, and privacy controls (public, unlisted, friends-only)
  • Built pagination, real-time updates, and synchronization to ensure seamless cross-node interaction
  • Ensured API compliance with ActivityPub-inspired standards for interoperability
  • Collaborated with 4+ teams to test federation functionality and resolve complex integration issues
  • Developed a responsive frontend using Django templates
  • Wrote automated tests and clear API documentation to support scalability and maintenance
Code Demo

ICASSP 2025 SPGC Challenge

  • Conducted research under Dr. Russell Greiner and Dr. Eleni Stroulia for the ICASSP 2025 Speech Processing Grand Challenge
  • Developed logistic regression models to predict clinical diagnoses using semantic, phonemic, age, and gender features
  • Engineered multilayered regression pipelines using K-Nearest Neighbors and Matrix Factorization to estimate MMSE scores
  • Explored feature selection strategies and pre-processing methods to handle sparse, noisy, and high-dimensional speech data
  • Evaluated models using metrics such as RMSE, F1-score, and accuracy to optimize performance on both classification and regression tasks
  • Integrated domain knowledge from cognitive science to improve model interpretability and clinical relevance
Code

Data Cleaning and Transformation

  • Processed CHILDES transcripts using regular expressions to clean, filter, and reformat text for NLP tasks
  • Removed metadata such as headers and speaker tags to isolate raw linguistic content
  • Converted textual data to ARPAbet phonemes to support phonetic analysis and modeling
  • Built n-gram language models for downstream linguistic analysis and cognitive research
Code

Applify

  • Developed a full-stack job application tracker with customizable progress tracking and task management features
  • Integrated Google Drive API to allow users to edit and save resumes directly within the platform
  • Emphasized clear data visualization to help users manage application pipelines efficiently
  • Contributed to UI/UX design to enhance usability and streamline the job-seeking experience
Code

EventEase

  • Built an event management platform for organizers to create, manage, and track event attendance
  • Implemented QR code scanning and geolocation features for streamlined check-ins and access control
  • Used Firebase for real-time updates and attendee communication throughout event lifecycles
  • Designed mobile-responsive UI to ensure accessibility and performance across devices
Code

Travelizer

  • Developed a comprehensive travel companion integrating multiple APIs for optimized travel planning
  • Implemented features for flights, car rentals, hotel bookings, and real-time weather updates
  • Created curated attraction lists to enhance travel exploration with dynamic visual elements
  • Integrated essential health and safety information including COVID-19 data for traveler preparedness
  • Designed UI/UX to streamline travel decision-making and enhance the overall user experience
Code

Prerequisitor

  • Developed a useful academic companion for Computer Science and Engineering students
  • Created a system to input completed courses and determine eligibility for subsequent ones
  • Implemented prerequisite evaluation to provide clear insights into course progression
  • Designed to optimize academic paths and enhance the overall student experience
Code

Skills

Languages

C/C++
CSS
HTML5
Java
JavaScript
Python
SQL
TypeScript

Frameworks

Django
Next.js
Node.js
React Native
React.js
Tailwind

Developer Tools

Android Studio
Cybera
Figma
Firebase
GitHub
MongoDB
MySQL
Putty
Vim
VSCode

Libraries

SciPy
Matplotlib
NumPy
Pandas
Subprocess
PyTorch
Scikit-Learn
NLTK
WordNet
Seaborn
TensorFlow
Flask
FastAPI
Requests
Unittest
Pytest
Mock
Mockito
SQLite
React

Contact

(780) 203-8889

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