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Builds and maintains a TypeScript-based frontend that integrates with Scala and Ruby on Rails backends, focusing on usability and performance while collaborating across teams.
Builds and maintains cloud-native backend services in Scala and Python for a fintech platform, collaborating with product teams to deliver scalable financial-infrastructure solutions.
Build cloud-native backend services in Python, Scala, and Node.js using FastAPI, ZIO, and other frameworks; write tests and collaborate in code reviews.
Builds high-performance cloud-native Scala microservices for a fintech platform, using Akka and ZIO, while collaborating with product teams on APIs and testing.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Builds modern React-based web apps and scalable backend services (Java/C++/Go) for a leading networking company, using AI tools to modernize legacy systems.
Designs and builds scalable machine-learning systems on Google Cloud, collaborating with data scientists and engineers to deploy AI solutions and MLOps platforms for enterprise clients.
Build and maintain GCP-based data pipelines, clean and structure raw data, and integrate ML models into scalable workflows for analytics and visualization.
Build and optimize Google Cloud data pipelines, including batch/real-time processing, data cleansing, and ML model integration, to support analytics, BI tools, and external APIs.
A Cloud Architect Specialist at BIP designing and implementing cloud architectures across AWS, Azure, and GCP, developing use-cases and PoCs for clients, and contributing to internal research on emerging technologies like IoT, Blockchain, and AI.
Design and deploy cloud infrastructure for AI/ML workloads, collaborating with customers to optimize performance, security, and cost while troubleshooting production issues.
Builds scalable data pipelines and APIs for analytics products like Portfolio Optimizer and Ad Insights using Python, Spark, and React.
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Architect and lead cloud-native data and AI platforms, integrating AI tools to optimize development workflows and deliver scalable, secure solutions for cybersecurity products.
Build and maintain cloud-based data pipelines and ETL processes to deliver customer insights for enterprise clients in advertising and marketing technology.
Build and maintain scalable data pipelines and backend services using Java, SQL, and distributed frameworks to support analytics and integration for financial clients.
Build and maintain a high-performance data platform for post-trade processing, ingesting market data and enabling AI-powered analytics for global banking markets.
Build and maintain SmartComm-based customer communication systems using C#, .NET, and React, integrating with enterprise databases and APIs to generate high-volume documents.
Designs scalable data platforms and governance frameworks, integrating cloud/on-prem systems, ETL pipelines, and AI-enabled solutions for enterprise clients.
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