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Designs cloud-based data architectures for AI-driven lakehouse and data mesh systems, optimizing storage and processing with Python, SQL, and DevOps.
Build and deploy AI/ML models for predictive maintenance using real-time IoT data, focusing on production-ready solutions and end-to-end ownership.
Lead AI-driven simulation development for a deep-tech firm merging physics with Formula One insights, integrating AI into workflows and mentoring junior data scientists.
Build AI-powered digital twin applications in NVIDIA Omniverse, integrating computer vision, VLMs, and LLMs to simulate and automate industrial processes like inspection and logistics.
Architects and deploys scalable GenAI and ML systems for smart manufacturing, focusing on distributed training and robust pipelines in cloud/on-prem environments.
Build and maintain the data infrastructure and ML platform for an AI-driven energy intelligence system, including data schemas and model registry.
Design and deploy AI agents and workflow automations that integrate with enterprise systems, using Python, JavaScript/TypeScript, and frameworks like LangChain or Azure OpenAI.
Build and deploy scalable AI systems that turn physical-world data into enterprise intelligence, optimizing energy and operations for industries like climate tech.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Build and deploy GenAI and ML models to optimize semiconductor manufacturing workflows using cloud-based analytics and production-grade pipelines.
Build autonomous AI agents and automation pipelines for an FMCG enterprise, integrating LLMs with enterprise systems using RAG and Azure AI tools to handle pricing, sales, and operations workflows.
Develop AI and optimization models to analyze manufacturing data, improve equipment efficiency, and boost productivity in an automated production environment.
Build AI models to optimize semiconductor manufacturing processes, improving quality and yield using Python, ML/DL, and SQL.
Build AI and machine-learning models to optimize semiconductor manufacturing processes, analyze equipment data, and develop predictive analytics for factory efficiency.
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and improve AI-driven manufacturing and engineering solutions using ML, deep learning, and optimization to solve production challenges.
Build AI models and predictive analytics for semiconductor manufacturing, using data science to optimize smart factory processes and improve yield.
Design and deploy AI algorithms for robot perception, planning, and control in unstructured environments using Python/C++ and ROS/ROS2.
Build AI/ML models for real-time predictive maintenance using IoT data, deploying solutions to production with a focus on explainability and performance.
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