pedram khoshnevis portfolio

Pedram Khoshnevis

Information technology developer with over eight years of experience collaborating with colleagues and fellow researchers. Adept at creating user-friendly, helpful, and efficient applications for the tech industry and non-profit foundations. Highly skilled in technical documentation writing with six publications in highly respected and peer-reviewed IT journals. Holder of two master’s degrees and CTO of a non-profit foundation for victims of trauma. Proficient and passionate about partnering with start-ups and organizations to find creative solutions for human problems and build digital projects to help clients overcome challenges.

Email pedramkhoshnevis@gmail.com

Address Montréal, Québec, Canada

Social

Programming Languages

JavaScript/TypeScript (Angular), Python, PHP (Laravel), Node.js, C++.


Database Management

MySQL (ACID compliance), NoSQL (MongoDB), Database ORM, Database Migration & Seeding.


Frontend Development

HTML, CSS, SASS, Responsive Web Design (Bootstrap).


Cloud & Platform Tools

AWS (EC2, Route 53, Elastic Beanstalk, Elasticsearch), CloudFormation.


Security

Public & Private Key (SSL), Password Protection (Hash, Salt, Pepper), CSRF Tokens, Cookie Encryption & Decryption, Sessions.

IT Developer

Federal Government of Canada – Ottawa, CA

May 2021 – March 2025

  • Developed and maintained two Angular applications integrated with Amazon Connect API for the CRA Online Chat project.
  • Designed and implemented the Agent Interface (for agents to chat with taxpayers) and the Chat Widget (for taxpayers to interact with agents).
  • Played a key role in designing, developing, and brainstorming solutions within a team of six developers.
  • Led the development of an Authenticated Online Chat feature, allowing users to securely interact using their SIN authentication.
  • Implemented Python-based AWS Lambda functions for real-time data processing and automation.
  • Worked extensively with AWS cloud services to support scalable and secure applications.
  • Acted as Team Lead for two months and served as Scrum Master for a year.
  • Helped successfully launch an online chat application serving over 10 million calls.

IT & AI Researcher

DaTALab – Lakehead University

May 2019 – May 2021

  • Developed an AI-powered text-simplification platform using Python, NLP, and machine learning to enhance document accessibility for the CRA.
  • Built an AI-driven homelessness simulation platform using predictive analytics, time-series forecasting, and deep learning models to forecast shelter occupancy rates.
  • Published a research paper on an innovative Python-based algorithm for AI-driven predictive modeling.
  • Designed and implemented full-stack applications using modern web and mobile technologies.
  • Created a React Native mobile app for Lakehead University, which was successfully published on the App Store and Google Play.
  • Collaborated with researchers from McGill University, University of Ottawa, and Douglas Research Centre to integrate AI with social science research.

Software Developer

Apposha.io

Jan 2017 – Feb 2019

  • Developed a cloud-based database-as-a-service (DBaaS) platform.
  • Optimized MySQL performance and built scalable back-end systems.
  • Worked with AWS tools like Elastic Beanstalk, Elasticsearch, and CloudFormation.
  • Played a key role in securing $600,000 in startup funding.

Computer Researcher

Lakehead University

2019 – 2021

  • Published five research papers and conducted two surveys with 92 participants.
  • Developed full-stack applications for various clients, including a CRA-backed project.
  • Specialized in natural language processing (NLP) for AI-driven solutions.
  • Collected my work into a thesis for publication.

IT Director

UBU Today

Jan 2014 – Present

  • Managed website development and IT operations for a nonprofit organization.
  • Acquired federal grants to support digital outreach efforts.
  • Implemented secure and accessible web solutions.

Freelance Web Developer

WebPrinciples.com

Jan 2014 – Present

  • Designed and developed websites for businesses, organizations, and individuals.
  • Integrated APIs and built scalable, responsive web applications.
  • Ensured projects followed W3C standards and ADA compliance.

Master of Computer Science

Lakehead University, Ontario, Canada.

Specialized in Artificial Intelligence

May, 2019 – May, 2021

Conducted extensive research in regards to implementing methods of computational intelligence that help mitigate problems faced in the social sector.

Recipient of multiple scholarships.


Master of Computer Science

University of Seoul

Mar, 2013 – Mar, 2015

Studying at the university gave me extensive experience and understanding of engineering documentation as well as becoming a Full Stack developer.

Honors in General Scholarship. GPA 95%.


Bachelor of Computer Science

University Science Malaysia

Jan, 2005 — May, 2009

My studies in Computer Science with a Minor in Management has familiarized me with Customer Relationship Management (CRM), Enterprise Resource Planning (ERP) systems, Project Management, and Business Analysis. My degree gave me excellent overall working knowledge of many aspects of Computer Science and Information Technology (IT). This includes software, hardware, networking, distributed systems, and desktop support.

Design, Development and Usability Evaluation of a Web-based AI-supported Simulation And Modeling Software For Homelessness

Date: 2021

Submitted to: Journal Informatics for Health and Social Care


Comparison of Moderated and Unmoderated Remote Usability Sessions for an AI-Supported Simulation and Modeling Software: A Randomized Controlled Trial

Date: 2022

Publisher: 24th HCI International Conference, HCII 2022


Role of Computational Intelligence and IoT in Smart Cities to Address Homelessness

Date: 2021

Publisher: IEEE Internet of Things Magazine



Using aerial canopy data from UAVs to measure the effects of neighbourhood competition on individual tree growth

Date: 2020

Publisher: Elsevier: Forest Ecology and Management

https://www.sciencedirect.com/science/article/abs/pii/S037811271932167X

An Adaptive Network Coding scheme for unreliable multi-hop wireless networks

Date: 2016

Publisher: International Conference on Big Data and Smart Computing (BigComp)

https://www.computer.org/csdl/proceedings-article/bigcomp/2016/07425932/12OmNzXnNrN

Portfolio

Competitions