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Landon Gray

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Chicago, Illinois, United States

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Flexible work
Starting at USD66.6/hour
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Résumé


Jobs verified_user 0% verified
  • Amazon
    Senior SDE II
    Amazon
    Jan 2021 - Current (5 years 6 months)
    • Led migration of a core web application from Angular to React/Next.js (with SSR), cuting page load times by 30% and improving developer productivity. Collaborated with UX and QA teams to refine requirements and ensure high-quality releases. • Engineered and optimized high-performance backend microservices in Java and Spring Boot, integrating seamlessly with AWS ECS, RDS, and S3, and leveraging Kafka-based asynchronous processing, caching, and query optimization to improve API response times by approximately 25%. • Architected and containerized distributed microservices in Node.js, Python, and Go on AWS ECS/EKS, leveraging AWS Kinesis and Lambda to build event-driven real-time data pipelines, and optimizing PostgreSQL, MongoDB, and Redi
  • accenture
    Software Engineer
    accenture
    Mar 2020 - Jan 2021 (11 months)
    • Developed Java and Node.js (NestJS) microservices for a healthcare platform, improving patient data processing efficiency and modularity. • Architected secure FHIR‑based data exchange APIs to connect hospital EHR systems with external health analytics platforms. • Built HIPAA‑compliant data pipelines using Google Cloud Healthcare API and Azure API for FHIR, enabling secure population health data storage and analytics. • Prototyped an AI‑powered clinical note summarization service using a large language model and NLP to accelerate report generation for clinicians. • Led remote Agile ceremonies including stand-ups, sprint reviews and client demos, coordinating cross‑functional teams; the Accenture team delivered multiple software relea
  • Deepgram
    Software Engineer
    Deepgram
    May 2018 - Mar 2020 (1 year 11 months)
    • Developed Python microservices and REST APIs for Deepgram's live STT platform, enabling real-time transcription in 36 languages. • Deployed Go-based streaming services to ingest live audio at scale, using Deepgram's WebSocket API for real-time transcription. • Collaborated with ML engineers to integrate PyTorch-based, noise-robust ASR models into production pipelines, improving recognition robustness on noisy, real-world audio. • Designed and optimized RESTful APIs for Speech-to-Text and Text-to-Speech services, reducing latency and meeting a 99.9% uptime SLA for enterprise customers, and containerized CI/CD pipelines to automate deployments, enabling continuous delivery of new voice AI features. • Managed Kafka and WebSocket-driven
Education verified_user 0% verified
  • Ohio University
    Bachelor's Degree
    Ohio University
    Aug 2014 - May 2018 (3 years 10 months)