Available to hire
Hi, I’m Danny Lane, a Senior Full Stack Developer with over 10 years of experience building scalable and user-focused web applications and machine learning infrastructure. My expertise lies in full-stack JavaScript and Python for creating efficient ML pipelines, with strong skills in cloud-native environments like Firebase, GCS, and AWS, and containerization using Docker. I enjoy working on interactive browser-based tools for annotation and model training and driving product development from concept to deployment.
I thrive collaborating cross-functionally to foster engineering culture and deliver impactful solutions that improve system scalability, reliability, and user experience. My passion extends into AI-powered applications and seamless integration of modern tech stacks that optimize performance and developer workflows.
Skills
Work Experience
Senior Full Stack Engineer at DAS Technology
March 1, 2022 - June 30, 2024Revamped customer portal using React front-end with Node.js & Python (FastAPI) microservices, increasing average session duration by 60% and reducing page load times by 45%. Built backend APIs for smart-meter data ingestion processing 100K+ meter readings daily with 99.95% uptime and reduced data latency by 30%. Automated CI/CD pipeline utilizing GitHub Actions and Docker, delivering three weekly releases, trimming deployment lead time by 65%, and reducing rollback incidents by 85%. Implemented end-to-end observability with Datadog, Prometheus, and Grafana across AWS-hosted services, which dropped mean time to detection of system errors by 50%. Led AWS infrastructure migration to serverless cutting hosting costs by 27% and scaling ingestion throughput 2x during peak usage. Developed AI-driven analytics pipeline in Python for anomaly detection identifying 15% more faults and cutting manual inspections by 40%. Orchestrated Kafka-based event architecture enabling real-time telemetry handl
Full Stack Engineer at Texas Instruments
June 1, 2020 - January 31, 2022Modernized internal analytics dashboard using React and Node.js, improving data access speeds by 50% for 200+ engineers. Migrated legacy REST services to microservice architecture with Node.js and Python, reducing API response times by 60% and enhancing modularity. Built and maintained CI/CD pipelines with Jenkins and GitHub Actions, cutting deployment errors by 70%, improving delivery speed by 55%. Deployed services to AWS with Terraform, scaling to support 10K requests/hour and reducing costs by 20%. Introduced Jest and Cypress testing, increasing code coverage from 35% to 80%, reducing post-release bugs by 65%. Integrated Datadog and Grafana monitoring, improving incident resolution by 40%. Led Kafka-based event-driven notification processing 100K+ messages/day, reducing latency by 30%. Optimized database queries in PostgreSQL and MySQL, improving retrieval times by 45%.
Full Stack Engineer at Amazon
February 1, 2018 - April 30, 2020Developed and maintained scalable web applications using React and Node.js to enhance internal inventory and order management tools, improving operational efficiency by 40%. Migrated legacy systems to AWS Lambda, DynamoDB, and S3, reducing infrastructure costs by 30% and improving scalability during peak traffic by 50%. Implemented CI/CD pipelines with Jenkins and GitHub Actions, enabling weekly deployments and reducing deployment errors by 70%. Built automated test suites in Jest and Cypress, increasing test coverage from 40% to 85%, decreasing post-release defects by 65%. Optimized SQL and NoSQL queries, improving report speed by 50%. Engineered AI-powered recommendation features using Python ML services, increasing cross-sell and upsell conversion rates by 15%.
Senior Full Stack Engineer at Glacier Security
August 1, 2025 - September 2, 2025Architected end-to-end communication infrastructure with TypeScript, React, Redux, and Twilio enabling encrypted messaging and voice calls for over 5,000 users, reducing data breaches by 40%. Led development of AI-powered mobile-first security applications integrating LLMs for behavioral anomaly detection and PyTorch models for threat classification, boosting user adoption by 25%. Delivered GraphQL and RESTful APIs with Node.js to support AI-based threat detection, cutting incident response time by 40%. Modernized data infrastructure with Kafka-based event streaming, improving system reliability and scalability by 45%. Directed migration to AWS (EC2, RDS, Lambda), decreasing infrastructure costs by 30% and reducing incident recovery time to under 5 minutes via improved fault tolerance and alerting systems. Provisioned secure infrastructure for 500+ high-risk user devices using AWS services, Terraform, Docker, and Kubernetes, enabling efficient scaling and automated configuration manage
Senior Full Stack Engineer at Brex
December 1, 2022 - September 2, 2025Enhanced full-stack features across React and Node.js, improving reliability and performance for 50,000+ business users. Integrated AI/ML services into backend pipelines using Python with PyTorch and OpenAI APIs, improving financial data insights accuracy by 35% and reducing fraud detection time by 50%. Migrated legacy codebases to TypeScript and React.js, increasing type safety and reducing front-end bugs by 30%. Engineered backend services using Node.js and PostgreSQL, Redis, significantly improving transaction speed by 35% and boosting overall system uptime. Streamlined backend architecture by deploying microservices on AWS Lambda with API Gateway, reducing infrastructure costs by 35% and improving peak-time response by 40%. Implemented CI/CD pipelines with Jenkins, CircleCI, and Docker, minimizing deployment delays by 25% and increasing release efficiency. Wrote unit and integration tests with Jest, Postman, and Cypress, achieving over 90% test coverage.
Full Stack Engineer at Furtenburg
February 1, 2020 - September 2, 2025Built internal financial dashboards using React and modular API services with Node.js, improving loan processing speed by 30%. Refactored monolithic backend into Dockerized microservices on AWS EC2/ECS, achieving 99.9% uptime and reducing deployment times by 40%. Created infrastructure-as-code using CloudFormation managing 100+ resources including S3, RDS, and CloudWatch, accelerating provisioning by 60% and ensuring consistency across three environments. Spearheaded automated testing initiatives using Jest, Mocha, and Supertest raising test coverage to 85% and reducing QA regression errors to under 1%, facilitating biweekly releases. Designed and optimized MongoDB and MySQL schemas supporting over 2 million records, improving data accuracy by 35% and reducing redundancy by 40% through normalization and indexing strategies.
Education
Bachelor’s Degree at Rice University
January 1, 2014 - May 1, 2018B.S. in Computer Science at University of Texas at Austin
January 11, 2030 - May 1, 2017Qualifications
Industry Experience
Software & Internet, Energy & Utilities, Computers & Electronics, Financial Services, Healthcare, Professional Services
Skills
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