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Design and implement Microsoft Azure cloud, data, and AI solutions for a large food manufacturer, integrating ERP, supply chain, and analytics systems.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Senior Data Scientist builds and deploys ML/AI models (including generative AI, RAG, and graph analytics) on Azure to detect fraud, optimize costs, and drive business insights for a large insurer.
Build and maintain Tangerine’s AI/ML platform, including MLOps, RAG pipelines, and agentic systems, to power next-gen banking features and client experiences.
Senior Software Engineer building data pipelines and microservices to power manufacturing and enable data-driven decisions using Python, SQL, ETL, and Databricks.
Build and deploy AI agents and GenAI systems on AWS, integrating them into insurance workflows while optimizing performance and mentoring junior developers.
Build and maintain cloud-based data pipelines for investment analytics using Azure tools like Data Factory and Synapse, transforming raw data into structured datasets for reporting and AI initiatives.
Build and maintain AI-powered QA automation frameworks using Selenium, Java, and REST APIs to test web apps and APIs in CI/CD pipelines.
Design the AI-powered analytics platform and brand for Tukey AI, shaping the product’s UX, visual identity, and marketing assets from the ground up.
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
Build and ship AI-native mobile growth experiments for Life360’s Android app using LLMs and agentic workflows, driving activation, conversion, and retention for 97.8M users.
Designs AWS-native data and AI architectures, MLOps pipelines, and governance standards to modernize analytics and AI solutions for a large Canadian insurer.
Designs and implements AI and data solutions for large enterprises using Databricks' Data + AI Platform, guiding technical strategy and driving ML/AI adoption.
Design and build call-processing software and management systems for Windows using C#, .NET, C++, and VoIP/SIP protocols, following Agile practices.
Build and deploy 4D Vision™ systems for industrial robots, extending object detection, depth estimation, and pose estimation using PyTorch and foundation models to enable precise automation on factory floors.
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines, and mentor engineers to productionize personalization and recommendation systems for a global gaming commerce platform.
Own AI features for an audit/accounting platform: define product requirements, build eval frameworks, and ship trusted AI that meets professional standards for 500k+ users.
Principal AI Engineer at Mastercard designing and building enterprise-scale AI platforms, cloud-native systems, and GenAI solutions to power secure, reliable AI applications across the company.
Own AI features for an audit/accounting SaaS platform: define evaluation frameworks, work with engineers and domain experts, and ship high-quality LLM/RAG-based capabilities.
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