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Lead end-to-end development of optimization models for warehouse routing, transportation, and inventory to cut supply-chain costs at this DTC fashion retailer using LP/MIP, vehicle routing, and AI-native workflows.
Build and deploy optimization models for supply-chain decisions like warehouse routing, shipping, inventory, and network flow using Operations Research techniques and AI-native workflows.
Builds and maintains software for autonomous trucking systems, including full-stack apps, backend services, and ML infrastructure using Python, Go, and React.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Lead Adobe’s enterprise AI and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving adoption and performance tracking.
Lead the design and development of AI-powered creative tools that generate high-quality marketing content for small businesses using image, text, and video models.
Builds and scales backend systems and AI-powered tools for Apple’s media services, including the Apple TV app and tvOS, to deliver high-quality streaming experiences globally.
Build and deploy advanced AI/ML models, including LLMs and agentic systems, to solve complex business problems using Python, MLOps, and cloud platforms.
Principal Engineer at Commonwealth Bank leading AI-first CRM and banker-experience platforms, designing cloud-native, event-driven systems in Python/Java/.NET with React and modern DevOps.
Principal Software Engineer at Commonwealth Bank of Australia leading the design and delivery of scalable CRM, AI-driven customer platforms, and cloud-native banking systems using Python, Java, React, AWS, and Kubernetes.
Build and deploy GenAI models and ML infrastructure at scale for Google’s core products, writing Python/C++ code and evaluating tradeoffs in large-scale systems.
Build and deploy scalable AI-powered backend systems using Python, FastAPI, and RAG with agentic workflows, vector search, and LLM integrations for enterprise use.
Lead the design and optimization of AI-powered recommendation systems using ML/LLMs to modernize a large-scale platform for Sales, Recruiting, and Marketing.
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
Senior software engineer consults for clients, designing and building secure, scalable backend systems and cloud integrations using modern stacks and AI-assisted tools.
Lead the product vision and roadmap for a retail media network that uses travel-intent data to deliver targeted advertising across Expedia’s ecosystem and partner sites.
Lead AI engineer building and optimizing generative AI platforms, including LLM inference, vector search, guardrails, and evaluation systems to power Capital One’s banking products.
Build full-stack AI agent tools on Salesforce’s Agentforce platform, integrating LLM workflows and multi-agent systems with modern React/TypeScript frontends and Java/Python backends.
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