I am Arun Kishore , a Vancouver based Structural Engineer. With a Master’s in Structural Engineering from Georgia Tech and proficiency in US and Canadian building codes (including BCBC, CSA, ACI, AISC, ASCE, and IBC), I bring a wealth of knowledge to my work.
I’m experienced in residential, commercial, and industrial projects, utilizing advanced software like Revit, RAM, and ETABS to ensure structural integrity and develop cost-effective solutions.
Passionate about automating workflows and driving innovation, I am currently supporting professional engineers at Associated Engineering, contributing to design, cost estimation, project scheduling, and site inspections, including notable work on the DehCho Housing Restoration project.
With prior experience at firms like Uzun + Case, LLC, I possesses a strong foundation in designing various structures and a practical, entrepreneurial mindset eager to tackle new challenges and share transformative engineering solutions.
Aug 2019 - Present
Vancouver, British Columbia
Associated is a Canadian company that provides a broad range in services including engineering, planning, project management, and asset management. Their projects include studies, assessments, design and construction.
Aug 2019 - Present
May 2016 - Jan 2019
Georgia, USA
As one of the largest structural engineering offices in the Southeast USA, U+C focuses on the design of significant building projects throughout the continental United States, Hawaii, Puerto Rico, and the Caribbean.
May 2016 - Jan 2019
Feb 2016 - Apr 2016
Georgia, USA
ENERCON is a multi-discipline engineering and environmental services firm focused on delivering safe and efficient solutions for the power and industrial sectors.
Feb 2016 - Apr 2016
May 2015 - Dec 2015
Georgia, USA
PEC specializes in designing unique and complex projects with uncommon challenges and multiple materials. They also specialize in designing large outdoor sculptures and signage.
May 2015 - Dec 2015
 Bachelor's in Civil EngineeringGPA: 8.26 out of 10 |
Structural engineering calculations and tools.
- Calculators for various structural engineering problems.
- User-friendly web interface.
- Dynamic data visualization.
- Can be used by structural engineers for quick calculations.
Python wrapper for SAP2000.
- Generate and manipulate structural models.
- Analyze models using various load cases.
- Extract results and export to different formats.
- Automated structural analysis workflows.
- Integration with other engineering software.
Generate concise summaries of concrete test results.
- Automated PDF data extraction.
- Excel and PDF report generation.
- Target vs achieved strength graphs.
- Air content verification.
- Slump range checks.
- Scalable solution for large-scale infrastructure projects.
Design aids for foundation load data transformation.
- Convert PDF loads from Pre-Eng to CSI SAFE or Excel format.
- Auto update existing SAFE files with new loads.
- Graphical user interface for data input.
- Load combination extraction and management.
- Streamlined workflow for design engineers.
Allows visually comparison two PDF or image files by overlaying them with adjustable colors and transparency.
- Document revision comparisons.
- Architectural and engineering drawing reviews.
- Contract version change identification.
- Visual quality assurance checks.
The awards celebrate individuals who have demonstrated a novel approach to an internal or client-facing project which took place or was implemented in the 2024 calendar year.
The awards celebrate individuals who have demonstrated a novel approach to an internal or client-facing project which took place or was implemented in the 2023 calendar year.
This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Instructed 3 coworkers to intermediate level in python usage for structural engineering workflows.
Tasked with creating Dynamo Scripts for efficient deployment of contract documents.
This study explores the use of processed sugarcane bagasse ash as a supplementary cementitious material in Portland pozzolana cement with replacement levels of 10%, 15%, and 20%. It examines the compatibility between bagasse ash-blended cement and superplasticizers using Marsh cone and mini-slump tests. Results show that polycarboxylic ether-based superplasticizers perform better than sulphonated naphthalene-based ones in terms of compatibility with bagasse ash mixtures.
This study evaluates the effect of varying dosages of calcium nitrite and bipolar corrosion inhibitors on the critical chloride threshold (Clth) of TMT steel embedded in mortar. Using an accelerated test method involving linear polarization resistance, the Clth was measured for five dosage levels relative to the manufacturer’s recommendation. The research addresses dosage sensitivity and fills a knowledge gap on the corrosion resistance of TMT steel in chloride environments.
