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Build and deploy NLP/LLM models to automate customer support tasks like intent detection, chatbots, and agent routing for Zendesk’s AI-powered CX platform.
Designs, builds, and deploys AI models (ML, deep learning, NLP, CV) to automate decisions and processes, integrating them into production systems.
Builds and refines pharmaceutical forecasting models using Python/R and machine learning to guide global drug commercialization and supply-chain decisions.
Builds and refines statistical and ML models to estimate disease prevalence and inform public-health policy using R, Python, SQL, and large health datasets in Snowflake and Databricks.
Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Principal Client Solutions Architect designs enterprise-scale integrations for an AI-powered relationship intelligence platform, leading technical discovery and solution design for CRM, data, and AI systems.
Build and deploy ML/AI models to solve customer and commercial challenges at a media company, using Python, GCP VertexAI, and large-scale data assets.
Build and validate ML models to automate and optimize Amazon Business operations, using SQL, Python, and AWS tools to analyze data and power customer-facing services.
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Design and build scalable data pipelines, ML models, and analytics tools to accelerate drug research and development, using Python/R, Spark, and cloud platforms.
Build predictive models and analyze structured/unstructured data to solve challenges in national security, healthcare, or fraud detection using Python, R, SQL, and ML techniques.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
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