Creative problem solver focused on closing technical product gaps to drive enterprise sales and empower internal sales to thrive. Avid learner with origins in civil design, I am constantly adding to my toolbox and looking to use the best tool for the job. I pair my degree with a creative mind, a thirst for continued education and learning and an ability to understand customer use cases, prioritizing strong communication between prospects and sales. During my time in solution engineering and architecture I have focused on deploying tailored solutions to numerous enterprise level clients ranging a wide variety of verticals, increasing overall product value, and always approaching prototyping from a value minded approach.
Connor Tluck
235 East 4th Street
New York, New York 10009
Bachelor of Science in Civil Engineering • December 2016
Udemy • September 2020
Udemy • April 2020
Udemy • April 2020
Solo Contributor - Team Leader• 2023
Devlopment Contribution • 2022
Devlopment Contribution • 2022
Sole Development • 2021
Sole Development • 2020
Various Datascience Learning Projects • 2020
Solution Architect• August 2022 - Current
Solution Engineer• Janurary 2021 - August 2022
Civil Engineer• September 2018 - Janurary 2021
Civil Engineer• May 2015 - September 2018
A self starter with a hunger to learn, I love to self teach and go outside of my swim lane. Today there are so many options to build out solutions and to me, a good Sales Engineer and Solution Architect is able to understand and leverage as many of these tools as possible for builds.
Build and manage solution architecture project hub for past and ongoing development efforts.
Data Science, Python, FoliumNearmap Project in which sales needed a way to better show the capabilities of our transactional api, not supproted in our web map product. Built HTML and Javascript GUI with boostrap components. Tracking built in with google analytics and webhooks to keep track of usage and demo locations.
Web Development, HTML, Javascript, Bootstrap, Netlify, Google Anlytics.Nearmap is a SAS company that relies on tracking user data to charge clients over time. In the Engineering space this model does not work well as there are many engineers who need data and the margins for design teams are tight enough that good project managers cannot in good faith use data models without breaking budget. This was identified early on and the solution used here was to leverage the tile api via a python backend to allow users to run a script to download bulk areas of max res (not supported on our web platform). Downloads were tracked to charge by area via the user input shape file managed in MongoDB and providing users with a dashboard to track costs. Front end was pyqt but exploration has begun to leverage better front ends like Openlayers as well as delivery through S3 services rather than local downloads.
Python, MongoDB, Openlayers, pyqtIn an effort to tackle roadway parametric design, survey point data necessisarily needs to be classified to establish a level of understanding for any further processing alogirthms to work. The goal with this project was to take unclassified xyz point data from field shot survey, and create an Algorithm that would establish clean centerline geometry which fits the curve and tangent standards of road design. From there other points would be classified like left edge, right edge of road, embankment saftey methods ect. When completely classified and clean geometry built, road saftey improvments and design process could be semi automated to cut down on cost for roadway engineers doing much of this work manually. ML model used was a KNN model using Scikit-Learn. Graphic shows classified tangents in organge, curves in blue, Points of Intersection in Light Blue and Curve Centerpoints in Green.
Python, Machine Learning, Scikit-Learn, Civil EngineeringUsing three.js and html to build out a product for SE conferences as well as for external demo use. At conferences often times internet is slow, by running a local html app the SE team gained a viewer and data aggregation platform to more easily demonstate Nearmap content and products.
HTML, Javascript, DemoLeveraged Opensource JsonCrack library to better visualizer Nearmap API json response tree structure.
Web DevelopmentFull Demo for Nearmap Content Rendered in Infraworks. The demo established a new value demonstration to the Nearmap Content Stack for use in Engineering. Infraworks is an Early planning tool and for Enterprise level clients having access to a national dataset for High resolution Orthoimagery, Terrain Data, as well as Vector AI which can be used to create high fidelity renderings in the Infraworks space is extreamly important.
Civil Engineering, 3D Renderings, Value SellingNearmap Utility Partners wanted to buy our Vector Data for pole locations however, they also verbalized a need for vector data off of the lines as well. Nearmap had this stored as raster, however, the process to vectorize the line network is not as straightforward as our engineers hoped as it requires a lot of assumptions and processing techniques. I wrote out a model using the raster data, and a searching alogirthm to go pole by pole to check for nearest pole options, then check the raster dataset to see if a line was connecting the poles or not. This alogirthm worked reasonably well and set up our utility clients for a better adoption rate while our engineering team caught up to a more offical solution.
Python