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Design and build AI-powered applications using cloud and on-prem pipelines, applying generative models and LLMs to create production-ready solutions like chatbots and image processors.
Design and build AI-powered applications using cloud services, generative models, and deep learning pipelines in production environments.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Design and test next-gen AI chips by co-developing hardware and bare-metal software for AWS Trainium ML instances.
Lead a team designing and integrating custom silicon accelerators for AWS’s ML inference chips, ensuring high-performance SOC design and on-time tape-outs.
Build AI/ML tools for structural engineering, using probabilistic design, finite element analysis, and optimization to create production-ready models and visualizations.
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Build and deploy ML models to personalize Autodesk’s B2C eCommerce experience, from segmentation and recommendations to A/B testing and churn prediction.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Lead AI/ML engineering for Responsible AI solutions, designing and deploying ethical, explainable models while mitigating bias and privacy risks for enterprise clients.
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
Lead the design and deployment of ML-driven map reconstruction systems using sensor data to power next-generation autonomous vehicle maps at national scale.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
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