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Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
Researcher at a biotech startup building AI foundation models for drug discovery, analyzing model behavior, designing biological evaluations, and guiding data strategy.
Build and scale the ML infrastructure powering Aidoc’s healthcare AI, focusing on computer vision and NLP for medical imaging to assist clinicians and improve patient outcomes.
Lead the evolution and scaling of AI architecture for a healthcare AI leader, integrating deep-learning models (CV/NLP) with robust software systems to improve clinical workflows and patient outcomes.
Build and maintain a full-stack web app and GPU-accelerated image-quantification tools for analyzing medical scans (CT, MRI, PET, US, ECG) in clinical-trial workflows.
Lead a team of ML engineers to design, build, and deploy scalable machine learning models for RBC Wealth Management, using Python, Java, AWS/Azure, and MLOps practices.
Build and deploy generative AI and agentic systems for a global gaming company, selecting LLMs, fine-tuning models, and driving production-grade AI solutions.
Build and maintain scalable data pipelines on Google Cloud, model BigQuery warehouses, and collaborate with ML teams to deploy models via Vertex AI.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Senior data engineer builds and optimizes scalable pipelines, integrates ML models, and leads a team using Python, Scala, Go, Rust, Spark, Kafka, and modern SQL/NoSQL databases.
Lead a team building generative AI and deep learning models (NLP, computer vision) to solve business problems across claims, marketing, and other departments.
Design and deploy production-ready AI systems for insurance, focusing on Agentic AI, LLMs, RAG pipelines, and Computer Vision using Python and deep learning.
Build and deploy AI/ML models for industrial computer vision and edge computing in a global manufacturing context, integrating with SmartCenter initiatives.
Builds and fine-tunes diffusion models to generate and style product photos for an online fashion catalog, then deploys them with MLOps/backend teams.
Build and deploy AI-powered applications and models, including LLMs and agentic systems, using Python and full-stack development skills.
Design and optimize AI/ML models for automotive perception, prediction, and planning systems, including computer vision and trajectory forecasting for assisted/automated parking.
Build and deploy ML systems and AI software for clients using LLMOps, deep learning, and predictive algorithms on Azure.
Build cloud-native AI platform services and secure APIs on Microsoft Azure to power AVEVA’s industrial software portfolio and partner ecosystem.
Design and deploy deep learning models (LLMs, CNNs, GANs) for image, text, or signal data, optimizing architectures and addressing bias and overfitting in production.
Lead AI research and development for healthcare systems, designing advanced models and mentoring teams to publish cutting-edge work.
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