Staff Applied Scientist
CurrentPart of the AI Products leadership team, helping Xero in our AI journey.
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Lucas Barcelos is listed as PhD in Artificial Intelligence & Machine Learning at Xero, a with 3443 employees, based in Sydney, New South Wales, Australia. AeroLeads shows a work email signal at alstom.com and a matched LinkedIn profile for Lucas Barcelos.
Lucas Barcelos previously worked as Staff Applied Scientist at Xero and Data Scientist at Johnson & Johnson. Lucas Barcelos holds Doctor Of Philosophy - Phd, Computer Science from University Of Sydney.
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As a seasoned Software Developer and Product Manager, I bring over a decade of industry experience and a unique blend of technical expertise and business acumen to the table. With a PhD in Computer Science and the practical experience of leading significant projects I am eager to embrace new challenges and drive innovative solutions in the evolving landscape of machine learning.Specialties: Deep Learning and Machine Learning with a focus in Bayesian Statistics and Bayesian Methods, python software development, excellent people-skills and a proven track-record in leadership roles.
Listed skills include Team Leadership, Electrical Engineering, Machine Learning, Optimization, and 9 others.
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Sydney, New South Wales, Australia
Part of the AI Products leadership team, helping Xero in our AI journey.
Sydney, New South Wales, Australia
- Developed and enhanced large-scale recommender systems driving uplift in sales and engagement among health care professionals.- Spearheaded the the creation of a comprehensive master data catalog and lineage in Collibra for the ANZ OpCo.- Proficient in a diverse technical stack, including AWS S3, Redshift, EC2, Apache Airflow, PySpark, Kedro, Dataiku, Collibra, Jenkins, and Kubernetes.
Sydney, Australia
- Awarded for exceptional instruction in Statistical Learning, Data Mining, and Machine Learning.- Delivered interactive lessons simplifying complex statistical concepts, such as clustering, dimensionality reduction, regression and classification using generalised linear and logistic models, tree‐based methods, SVM, discriminant analysis, gradient boosting and model stacking.- Developed assignments in NLP and Computer Vision training cloud-based Deep Learning models, such as RNN, LSTM, CNN and Transformers.
Sydney, New South Wales, Australia
- Collaborated on an external project with Mission Systems Ltd Pty, to develop seabed terrain modelling using advanced Bayesian Statistics.- Played a key role in developing state-of-the-art large terrain models in GPU clusters, improving speed and accuracy in real-time inference.- Conducted thorough data analysis and interpretation, deriving insights from sparse and heteroscedastic data.
Florianópolis Area, Brazil
- Managed Measurement & Networking product line of GE Power's Grid Automation business- Conducted market intelligence research to identify potential market gaps and opportunities, leading to the specification and development of several new products.- Developed and executed a portfolio strategy in line with market trends and technological advancements, driving product differentiation.- Promoted a 58% year-on-year growth in product sales, significantly contributing to the company's revenue.- Monitored operational performance by product range, utilising data-driven insights to drive continuous improvement.- Collaborated with global and regional commercial teams to develop and implement comprehensive strategies for direct sales, commercial channels, and service operations.
Austin, Texas Area
- Led North American operations of a start-up specialising in Electrical Power Grid monitoring devices.- Acted as a technical champion, presenting papers at technical conferences to promote the company's innovative solutions.- Drove successful market penetration strategies, achieving significant growth and increased the customer base ten-fold.- Conducted market research to identify trends and customer needs, leading to impactful product development.
Belo Horizonte, Minas Gerais, Brazil
- Performed project-level interference checking, database management, multidisciplinary data validation, for all 2D/3D engineering and plant design tools, including SmartPlant, Autodesk, Tekla, and Bentley suites.- Played a leading role at corporate-level in roll-out projects for the implementation of SmartPlant and Revit suites in the Brazilian offices.- Oversaw the administration of corporate-level SmartPlant guidelines and CI/CD workflows to ensure alignment of local Business Units with global procedures.
Vanderbijlpark, Gauteng, South Africa
- Managed the specification, design, and technical and economical evaluation of rolling mill department development projects.- Managed the procurement, commissioning, and installation of a thickness and profile gauge for the Plate Mill Plant, a project estimated at US$ 2 million.- Led the replacement of the Plate Mill's DC motors Ilgner set main drive, a project with an estimated cost of US$ 10 million.- Developed and commissioned an Automatic Gap Calibration system for the Plate Mill Screwdowns improving quality and reducing calibration time in over 70%.
Vitória, Espírito Santo, Brazil
- Joined ArcelorMittal as part of the Group Engineer graduate program for new leaders.- Conducted comprehensive studies on key line equipment, including Walking Beam Slab Reheating Furnace, Reversible Roughing Mill, Coilbox, Finishing Mill, and Downcoilers.- Created functional descriptions for the Reheating Furnace Slab Handling, Roughing Mill, and Downcoilers systems improving MTTR by over 25%. - Optimised the coil transfer system to increase throughput by 13%
Dortmund, North Rhine-Westphalia, Germany
- Developed an automated test stand for Elliptec's innovative piezoelectric motor speeding up motor testing in over 50%.- Responsible for the Assembly programming for Atmel's AT90PWM3 microcontroller, Python for UI development, and implementing motor load and speed control.- Executed electromechanical parts dimensioning and assembly, including springs, step motors, and current drivers, to ensure seamless integration of software and hardware components.
Florianópolis, Santa Catarina, Brazil
- Volunteered at the Digital Signal Processing Laboratory (LPDS) as a software developer.- Developed control software in C++ for an inverted pendulum system using a Kalman Filtering.- Designed the control circuit using an AD 21061 DSP, integrated with an off-the-shelf power amplifier and stepper motor.
Florianópolis, Santa Catarina, Brazil
- Developed Python-based software for a Radial Interferometer, enhancing precision in metrological analysis by an order of magnitude.- Contributed to research initiatives, strengthening the laboratory's metrology capabilities.
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Thesis: Probabilistic Inference for Model-Based Planning and Control Supervisor: Prof. Fabio Ramos, PhD
Dissertation: Distributed Optimization and Split Control in Urban Traffic Networks Supervisor: Prof. Eduardo Camponogara, PhD
Emphasis on Telecommunications, Signal Processing, Systems and Control.
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Lucas Barcelos works for Xero.
Lucas Barcelos is listed as PhD in Artificial Intelligence & Machine Learning at Xero.
AeroLeads has found 1 work email signal at @alstom.com for Lucas Barcelos at Xero.
Lucas Barcelos is based in Sydney, New South Wales, Australia while working with Xero.
Lucas Barcelos has worked for Xero, Johnson & Johnson, University Of Sydney, Ge Power, and Reason Tecnologia S.A..
Lucas Barcelos's colleagues at Xero include Jesse Cordova, Craig Mccormick, Brett Edmonds, Audrey Robinson, and Lynsey Hayes.
You can use AeroLeads to view verified contact signals for Lucas Barcelos at Xero, including work email, phone, and LinkedIn data when available.
Lucas Barcelos holds Doctor Of Philosophy - Phd, Computer Science from University Of Sydney.
Lucas Barcelos is listed with skills including Team Leadership, Electrical Engineering, Machine Learning, Optimization, Deep Learning, Product Management, Product Lifecycle Management, and Business Development.
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