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Build backend infrastructure connecting LLMs and AI agents to real-time energy data via Python microservices on GCP, ensuring 24/7 reliability and scalability.
Build AI-native backend systems in Python that connect LLMs and agents to real energy data, deploying microservices on GCP and integrating APIs for 24/7 production use.
Build and ship embedded Linux/Android camera and multimedia stacks for cellular IoT modules that power smart POS, industrial gear, and AI vision devices across LATAM.
Builds scalable backend services and agentic workflows for Syngenta’s AI-powered agriculture platform, integrating LLMs with RAG pipelines and Python microservices.
Build and maintain autonomous haulage software for mining fleets using Java, microservices, and cloud architectures to coordinate trucks, navigation, and collision avoidance.
Build and maintain scalable backend services and agentic workflows for AI-powered agricultural tools, using Python, LangChain/LangGraph, and RAG pipelines.
Builds and maintains SCADA, drilling, and data-visualization software for oil/gas and emerging energy rigs using Java, C++, Python, and cloud platforms.
Lead embedded software engineer designing multi-fuel engine systems, sensors, and mechatronics for locomotives, using simulation tools like Ansys and GT Power.
Data Engineer specializing in Informatica IDMC to implement data quality, governance, and integration solutions while mentoring internal teams to operate autonomously.
Lead full-stack product owner building AI agents and integration layers that bridge legacy systems (Oracle, ERPs) with modern platforms, focusing on energy, mining, and industrial clients.
Build full-stack AI-driven ops tools for fulfillment, logistics, and labor tracking to scale meal delivery to millions daily.
Build and scale a renewable-energy platform using Node.js, React, GraphQL, TypeScript, and AWS; mentor junior engineers and shape technical roadmaps.
Build and deploy large-scale ML systems for bird identification and biodiversity data at Cornell’s Lab of Ornithology, integrating models into global platforms like Merlin Bird ID and eBird.
Oversee AI-driven robotics programs from requirements to launch, coordinating engineering teams and ensuring product success in commercial cleaning and inventory management.
Lead a cloud engineering team to design and run GCP-based AI infrastructure that ingests robotics data, trains models, and serves inference at scale for BrainOS, the platform powering 30,000+ autonomous mobile robots.
Build and scale data pipelines and AI services for a climate-tech startup, focusing on automation, reproducibility, and DevOps practices.
Build and scale an on-premise IoT data pipeline using Apache Hop and Kubernetes, migrating from Dataiku and documenting the architecture.
Builds and maintains secure APIs and data infrastructure for aerospace simulation and digital-engineering ecosystems, focusing on reliability and compliance for mission-critical programs.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Principal Engineer leading data-science strategy and ML solutions for energy-tech products, guiding teams through design reviews and patent processes.
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