David Lajambe Email & Phone Number
Who is David Lajambe? Overview
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David Lajambe is listed as Senior Software Engineer at Guidewheel, based in Mississauga, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for David Lajambe.
David Lajambe previously worked as Software Developer 2 - Scheduling at Kinaxis and Software Engineering Specialist - Modelling & Optimization at Arcelormittal Dofasco. David Lajambe holds Master Of Science, Chemical Engineering, 4.25/4.33 Gpa On The Laval University Scale from Université Laval.
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About David Lajambe
I am an innovative software developer with a specialization in machine learning and optimization. My passion is creating powerful applications to generate value from data.Some examples of my results:- Led the development and deployment of a fast, modular, and fully customizable cloud-based optimization engine to automate and optimize the scheduling of production orders across multiple steel finishing mills- Designed a neural network to predict coil welding characteristics in a cold mill, resulting in optimized coil scheduling and greatly improved execution speeds- Developed a PLS model, neural network, and Python-based performance monitoring system to predict and optimize reagent consumption in a desulphurization facility- MSc in Chemical Engineering with a specialization in multivariate statistics, deep learning and classic machine learning- Multiple scientific publications on using machine learning to detect faults in the aluminum smelting process, including an award-winning paper and presentation at the TMS 2020 conferenceLanguages: C++, Python, C#, Java, SQL, R
David Lajambe's current company
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David Lajambe work experience
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Software Developer 2 - Scheduling
Software Engineering Specialist - Modelling & Optimization
- Designed, developed, and deployed production-critical optimization software, machine learning models and software systems/APIs to improve the performance of a fully integrated steel manufacturing facility- Applied continuous integration, continuous deployment/delivery (CI/CD) workflows to facilitate deployment and maintenance; extensively used modern software development tools, including build and deployment pipelines, artifact repositories, agent pools, and cloud computing- Worked with code bases in a variety of languages: C#, C++, Python, and SQL- Mentored junior employees on software development, machine learning, and optimizationMajor Accomplishments:- Led the development of a modular, multithreaded, and fully customizable metaheuristic optimization engine in C++ to automate the scheduling of thousands of daily production orders across AMD's finishing mills- Designed and developed a scalable and performative API to allow internal customers to generate optimized schedules on demand, resulting in significantly improved execution speeds and model utilization- Designed, a neural network and PLS model to optimize the consumption of reagent in the desulphurization plant, resulting in reduced raw material costs
Process Engineer
- Applied skills in machine learning, programming, data visualization, and technical problem solving to identify and exploit improvement opportunities and resolve process issues in an aluminum smelting plant- Extensive use of SQL and R to extract, clean, model, and analyze data for process improvement and reliability projects- Developed a statistical model to predict pot life as a function of age and wear characteristics to ensure safe shutdown before failure; predictions used to plan annual relining budgets.
Senior Process Reliability Coordinator
- Applied skills in data analysis, machine learning, and statistical modelling to identify improvement opportunities and resolve performance issues- Designed and implemented a regression model to detect fouling across multiple gas train towers, resulting in optimized performance and improved maintenance- Used first-principles modeling skills to detect poor performance in all heat exchangers of a light oil separation facility- Used data visualization and oral presentation skills to communicate recommendations for improved plant reliability
Golf Camp Assistant Instructor
- Planned and carried out activities in a full-day golf camp - Gained leadership experience by supervising and coaching a group of 10-20 children each week of the summer- Given large amounts of responsibility for ensuring the safety of the children on and off the golf course- Commended by parents for providing their children with a fun and exciting camp experience
Crime Analyst Assistant
- 4 month co-op- Worked with sernior crime analyst to maintain and update detailed spreadsheets of local crimes on a daily basis- Extensively used Microsoft Excel
On-Floor Services
- Stocked shelves and provided customer service- Recognized by the store owner for providing outstanding customer service- Required time management skills; balanced the competing needs of customers and stocking
David Lajambe education
Master Of Science, Chemical Engineering, 4.25/4.33 Gpa On The Laval University Scale
Bachelor Of Engineering And Management, Chemical Engineering, 11.6/12 Gpa On The Mcmaster University Scale
Frequently asked questions about David Lajambe
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What company does David Lajambe work for?
David Lajambe works for Guidewheel.
What is David Lajambe's role at Guidewheel?
David Lajambe is listed as Senior Software Engineer at Guidewheel.
Where is David Lajambe based?
David Lajambe is based in Mississauga, Ontario, Canada while working with Guidewheel.
What companies has David Lajambe worked for?
David Lajambe has worked for Guidewheel, Kinaxis, Arcelormittal Dofasco, Alcoa, and Michael Crane Golf.
How can I contact David Lajambe?
You can use AeroLeads to view verified contact signals for David Lajambe at Guidewheel, including work email, phone, and LinkedIn data when available.
What schools did David Lajambe attend?
David Lajambe holds Master Of Science, Chemical Engineering, 4.25/4.33 Gpa On The Laval University Scale from Université Laval.
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