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Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Lead the development of foundation models for Grab’s marketplace, designing transformer architectures and scalable training pipelines using PyTorch and DeepSpeed.
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
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 deploy deep-learning models for computer vision, voice, and text to power financial solutions using PyTorch.
Designs and deploys AI-driven solutions, optimizes ML models in the cloud, and translates business needs into technical results using Python or R with TensorFlow or PyTorch.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and computer vision.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and deploy AI/ML pipelines for mobility systems, designing scalable data solutions and analytics dashboards to optimize transport networks and customer experience.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while ensuring real-world reliability in construction environments.
Build and deploy generative AI applications using LLMs and modern AI frameworks like TensorFlow or PyTorch.
Build and deploy AI-powered applications and integrations for customers, fine-tuning models and optimizing performance for Fireworks AI’s generative AI inference platform.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and deep learning frameworks like PyTorch.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Build and deploy reinforcement-learning policies that control a real humanoid robot, iterating quickly from simulation to physical hardware.
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