Shayan Nahrvar

 Shayan Nahrvar

Shayan Nahrvar

  • Courses1
  • Reviews5

Biography

University of Toronto St. George Campus - Civil Engineering

CoFounder, OasisCode Swiftender
Construction
Shayan
Nahrvar
Toronto, Ontario, Canada
Shayan Nahrvar is a Toronto-based Engineer, Entrepreneur and Business Strategist. He's the CoFounder of OasisCode Swiftender. Previously, Shayan was also the co-founder of Raise5, an award-winning fundraising platform endorsed by Sir Richard Branson.


Experience

  • Bondfield Construction Company Limited

    Digital Document Manager

    The flow of information in a large scale $350M design/build hospital project can often be overwhelming. As a tech-savvy Jr. Engineer, I was responsible for maintaining the document management systems and looking into Web-based Technologies that could be acquired for solidifying and streamlining the information flow in the project.

  • University of Toronto Engineering Faculty

    Head Instructor

    My passion and drive for teaching (along with a bit of luck) gave me the opportunity to become one of U of T's youngest instructors (at age 23). I was the head instructor for a first year Engineering Physics course as well as a Linear Algebra course.

    In spite of my lack of experience as an instructor, the students in my section performed well above average.

  • Raise5

    Co-founder

    As any entrepreneur knows, there are countless roles involved with being an early-stage founder of a start-up. As the co-founder, one of my primarily roles was to ensure to the technical functionality and usability of the platform, along with on-going updates and changes. Aside from the technical perspective, I was responsible for recruitment and fundraising.

  • Eatibl

    CoFounder, CTO

    Architecting -> Building -> Testing -> Publishing -> Monitoring -> Iterating.
    Doing all the good stuff that startup CTOs do (+ business strategy & leadership)

  • Oasiscode Swiftender

    CoFounder and Product Strategist

    Shayan worked at Oasiscode Swiftender as a CoFounder and Product Strategist

Education

  • University of Toronto

    Master of Applied Science (MASc)

    Civil Engineering
    Created a virtual simulation technique in the field of mega-project construct management. This discrete event virtual simulation is capable of taking into account the possible realm of outcomes and producing a probability distribution with respect to the cost and duration of a project. A case study was conducted in collaboration with Waterfront Toronto, where this technique was successfully executed.

  • University of Toronto

    Bachelor of Applied Science (B.A.Sc.)

    Civil Engineering
    Engineering

Publications

  • Discrete Event Simulation in the Preliminary Estimation Phase of Mega-Projects

    University of Toronto Engineering Faculty

    The methodology of discrete-event simulation provides a promising alternative to solving complicated constructions systems. Given the level of uncertainty that exists in the early estimation phase of mega-projects regarding cost and risk, project simulations have become a central part of the decision-making and planning. This thesis compares discrete-event simulation to the traditional Monte-Carlo method through a case study.

  • Discrete Event Simulation in the Preliminary Estimation Phase of Mega-Projects

    University of Toronto Engineering Faculty

    The methodology of discrete-event simulation provides a promising alternative to solving complicated constructions systems. Given the level of uncertainty that exists in the early estimation phase of mega-projects regarding cost and risk, project simulations have become a central part of the decision-making and planning. This thesis compares discrete-event simulation to the traditional Monte-Carlo method through a case study.

  • Discrete Event Simulation in the Preliminary Estimation Phase of Mega-Projects

    University of Toronto Engineering Faculty

    The methodology of discrete-event simulation provides a promising alternative to solving complicated constructions systems. Given the level of uncertainty that exists in the early estimation phase of mega-projects regarding cost and risk, project simulations have become a central part of the decision-making and planning. This thesis compares discrete-event simulation to the traditional Monte-Carlo method through a case study.

  • Discrete Event Simulation in the Preliminary Estimation Phase of Mega-Projects

    University of Toronto Engineering Faculty

    The methodology of discrete-event simulation provides a promising alternative to solving complicated constructions systems. Given the level of uncertainty that exists in the early estimation phase of mega-projects regarding cost and risk, project simulations have become a central part of the decision-making and planning. This thesis compares discrete-event simulation to the traditional Monte-Carlo method through a case study.

CIV 100

3.3(5)