Available to hire
Hi, I’m Satya M, a Full Stack Developer with 5+ years of experience designing and scaling enterprise-grade web and AI-powered platforms. I specialize in Java/Spring Boot microservices, React/Remix frontends, and AWS cloud-native architectures, focusing on performance, resilience, and cost efficiency.
I love collaborating across teams to deliver data-driven experiences, integrate LLM APIs, and drive AI-powered automation. I’m excited by fast-paced environments and opportunities to mentor teammates and optimize DevOps practices.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Full Stack Software Engineer at Shopify
January 1, 2015 - November 11, 2025Revamped Remixing Admin architecture with modular Java + GraphQL services, cutting API latency by 30% and improving merchant workflow responsiveness across 10M+ daily Admin requests. Integrated AI-driven metadata and schema introspection APIs powering Shopify Sidekick, enabling 40% faster contextual recommendations and dynamic UI generation for merchant dashboards. Optimized AWS infrastructure (EKS, ElastiCache, S3, CloudFront) for high-throughput Admin workloads, reducing compute costs by 25% and improving fault tolerance across multi-region deployments. Engineered backend modules using Java 17, Spring Boot 3, GraphQL-Java, and gRPC for high-performance service orchestration, schema federation, and event-driven Admin APIs. Built Remix frontend integrations with AI-ready schema manifests, leveraging GraphQL + Apollo Client for streaming SSR and sub-100 ms route hydration. Implemented real-time event pipelines with Kafka + AWS Kinesis for merchant telemetry, ad-metrics ingestion, and ML
Full Stack Developer at Meta
January 1, 2025 - January 1, 2025Engineered scalable backend microservices using Java 17, Spring Boot 3, and gRPC, enabling high-throughput communication between Java orchestration layers and Python-based Llama 3 inference APIs. Developed RESTful APIs and real-time job orchestration systems integrated with Apache Kafka, reducing AI inference latency by 23% and supporting 350,000+ NVIDIA H100 GPUs across AWS cloud distributed clusters. Implemented secure access control and API usage metering with OAuth2, JWT, and RBAC, boosting API security compliance and reducing unauthorized access incidents. Designed and deployed dynamic admin dashboards using React.js, TypeScript, and Tailwind CSS, accelerating LLM prompt testing and improving GPU utilization visibility. Integrated backend systems with Python-based inference servers via FastAPI, jep (Java Embedded Python), and gRPC bridges for Java–Python interop. Configured full-stack observability with Prometheus, Grafana, and ELK Stack; deployed Dockerized services in Kubernet
Software Engineer at Tech Mahindra
July 1, 2023 - July 1, 2023Backend development of real-time data services for IoT-enabled Smart City infrastructure (traffic, parking, water, surveillance), integrating 50,000+ sensors and reducing system latency by 30% across multiple services. Developed secure Java/Spring Boot microservices on AWS for the centralized Command & Control Center, supporting 1.5M+ citizen dashboards and improving system response efficiency. Collaborated with cross-functional teams to implement RESTful APIs and responsive UI components (React.js), automating key civic workflows and reducing manual interventions by 40% while enhancing operational dashboards. Supported scalable system engineering using Java 17, Spring Boot 3, Hibernate, and Kafka, deployed via Docker/Kubernetes on AWS, improving deployment speed and reliability by 30%. Applied modern tooling and AI-assisted monitoring to enable proactive issue detection.
Full Stack Software Engineer at Shopify (Remixing Admin project)
January 1, 2015 - PresentRevamped Remixing Admin architecture with modular Java + GraphQL services, reducing API latency by 30% and improving merchant workflow responsiveness for 10M+ daily Admin requests. Implemented AI-driven metadata and schema introspection powering Shopify Sidekick for 40% faster contextual recommendations and dynamic UI generation. Optimized AWS infrastructure (EKS, ElastiCache, S3, CloudFront) for high-throughput Admin workloads, reducing compute costs by 25% and improving fault tolerance and observability across multi-region deployments. Engineered backend modules with Java 17, Spring Boot 3, GraphQL-Java, and gRPC for service orchestration, schema federation, and event-driven Admin APIs. Built Remix frontend integrations with AI-ready schema manifests, leveraging GraphQL + Apollo Client for streaming SSR and sub-100 ms route hydration. Implemented real-time event pipelines with Kafka + AWS Kinesis for telemetry, ad-metrics ingestion, and ML feature collection. Developed secure payment
Full Stack Developer at Meta
February 1, 2024 - January 1, 2025Engineered and maintained scalable backend microservices using Java 17, Spring Boot 3, and gRPC to enable high-throughput communication with Python-based Llama 3 inference APIs. Developed RESTful APIs and real-time job orchestration with Apache Kafka, supporting large-scale distributed GPU workloads and reducing AI inference latency. Implemented OAuth2, JWT, and RBAC for secure access and API usage metering, boosting policy compliance and reducing unauthorized access incidents. Designed dynamic admin dashboards with React.js, TypeScript, and Tailwind CSS for improved model monitoring and GPU utilization visibility. Integrated Python-based inference servers via FastAPI, jep, and gRPC bridges for Java–Python interoperability. Configured full-stack observability with Prometheus, Grafana, and ELK Stack; deployed Dockerized services in Kubernetes with GitHub Actions CI/CD. Used PostgreSQL, MongoDB, and Redis for structured and cached AI metadata storage, optimizing data queries and persis
Software Engineer at Tech Mahindra
June 1, 2019 - July 1, 2023Developed backend Java/Spring Boot microservices on AWS for real-time IoT-enabled Smart City infrastructure, integrating 50,000+ sensors and delivering improved system latency. Supported centralized Command & Control Center dashboards for 1.5M+ citizens, enhancing response efficiency. Collaborated with cross-functional teams to implement RESTful APIs and responsive React UI components, automating civic workflows and reducing manual interventions. Utilized Java 17, Spring Boot 3, Hibernate, and Kafka in Docker/Kubernetes deployments on AWS to improve deployment speed and reliability. Identified and applied modern DevOps and AI-assisted monitoring practices to accelerate feature rollout and team productivity.
Education
Master’s in Computer and Information Systems at Saint Louis University, Saint Louis, MO
January 11, 2030 - November 11, 2025Bachelor of Engineering in Computer Science at CMR Engineering College, Hyderabad, India
January 11, 2030 - November 11, 2025Master’s in Computer and Information Systems at Saint Louis University
January 11, 2030 - December 19, 2025Bachelor of Engineering in Computer Science at CMR Engineering College
January 11, 2030 - December 19, 2025Master’s in Computer and Information Systems at Saint Louis University, Saint Louis, MO
January 11, 2030 - December 22, 2025Bachelor of Engineering in Computer Science at CMR Engineering College, Hyderabad, India
January 11, 2030 - December 22, 2025Qualifications
Industry Experience
Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment, Other, Retail, Telecommunications
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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