Thomas Tartière

Own end to end responsibility for technology, product, and operations across two enterprise data platforms, spanning software engineering, machine learning, product management, security, and customer support.

• Lead and scale a hybrid team across engineering, product, data science, and analytics, with full ownership of hiring, performance management, and org design.
• Act as Head of Product, owning product strategy and roadmap; work directly with enterprise customers and partners, including RFPs and global multi site deployments.
• Lead platform scalability initiatives, including major data architecture evolution to support long term growth.
• Build and lead advanced analytics and machine learning capabilities, including a self serve modeling studio and production anomaly detection solutions.
• Own uptime, SLAs, and operational reliability, consistently exceeding contractual availability targets.
• Took the company from zero to SOC 2 Type II certification; executive owner of security architecture, policies, audits, and chair of the internal Risk Committee.

Built the company’s core enterprise data platforms from scratch as the initial architect and developer, delivering production-grade systems quickly with limited resources

• Designed and implemented a real time industrial data platform for collecting, visualizing, and analyzing high volume energy and telemetry data across large industrial organizations.
• Built from scratch a lean manufacturing and performance monitoring platform, supporting operational analytics and production visibility.
• Designed and implemented a utility bill management system capable of detecting anomalies across tens of thousands of electricity, gas, water, and telecom bills.
• Implemented machine learning models to improve asset performance and operational efficiency.
• Led on site coordination, commissioning, and go live of full scale energy management information systems in large industrial facilities.

Technologies used:

• Python
• Django
• Azure
• Docker
• Kubernetes
• Terraform
• VueJS
• MS SQL Server
• PostgresSQL
• ClickHouse
• Redis
• Kafka
• IoT
• MQTT
• Apache NIFI

In a clean energy startup, coordinated company-wide R&D activities while combining software development, system modeling, executive advisory, and external representation.

• Developed software tools and simulation models for the design and optimization of complex energy systems.
• Coordinated multi disciplinary teams on multi million dollar R&D projects, integrating software, modeling, and hardware engineering.
• Led the preparation of R&D funding applications and successfully secured public funding.
• Advised the executive team on technical strategy. Represented the company at international conferences and led business development in North America.
• Authored 8 peer reviewed publications and co inventor on 1 patent.

Technologies used:

• Python
• EES
• C++
• Ansys CFX
• Matlab
• Excel

Guest lecturer for graduate engineering courses on biomass, geothermal energy, and industrial energy efficiency.