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Build and maintain robotics data pipelines, ML training systems, and real-time tools for autonomous vehicles and embodied AI, using Python, C++, React, and cloud infrastructure.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Build core features for an AI-native accounting platform, integrating LLMs and financial systems while writing production code in a fast-paced startup.
Build and scale the backend and infrastructure for an AI-native company that deploys real-time voice AI systems handling customer calls, quotes, and invoices for businesses.
Design and maintain production-grade cloud infrastructure for AI systems across multiple providers, using Kubernetes, Terraform, and CI/CD pipelines to ensure reliability and security.
Build and maintain CI/CD pipelines and cloud-based data workflows for inertial positioning algorithms, converting MATLAB code to C and automating validation and deployment for robotics and autonomous systems.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Build and maintain robust data pipelines for a global fintech, ensuring real-time accuracy for trading, compliance, and AI systems while implementing governance and observability from day one.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Builds and maintains CRM systems and workflow engines in Go, integrating ticketing, rule engines, and Kafka-based pipelines for a global trading platform.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Designs and maintains serverless AWS data pipelines (Lambda, S3, SQS, EventBridge) and CloudFormation IaC, builds Athena datasets for analytics, and creates QuickSight dashboards including SOX compliance reports.
Build and deploy production ML systems: design pipelines, orchestrate with Airflow, and maintain scalable models for fraud detection, automation, and customer insights.
Builds and optimizes Camunda’s event-sourced workflow engine, ensuring data integrity and enabling AI agents to integrate with the automation platform.
Build secure, scalable enterprise apps for defense/intel missions using Java, Python, Angular, and REST APIs in an Agile environment.
Design and implement AI agents and RAG systems to automate software engineering tasks like code review, testing, and documentation, driving measurable productivity gains across the SDLC.
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
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