Aryan Kumar Singh

About Aryan Kumar Singh

I’m a Software Engineer with 3+ years of experience building scalable, resilient systems across enterprise and product domains. At IBM, I work on architecting and developing full-stack solutions with a strong emphasis on backend performance leveraging Scala, Docker, Kubernetes, Redis, and Jenkins to deliver robust, secure REST APIs and infrastructure.Previously at Amadeus, I worked on global-scale travel tech platforms, using Java, Spring Boot, and MongoDB to build modular microservices with measurable business impact.My professional journey from backend engineering to full-stack development reflects a mindset grounded in ownership, clean architecture, and continuous learning. I’m particularly interested in distributed systems, system design, and building software that performs and scales in production.I bring a strong mix of technical depth, real-world delivery, and a product-thinking approach to engineering. Whether collaborating across teams or diving deep into systems, I focus on delivering solutions that are not just functional—but long-lasting and impactful.

Experience

1. Full Stack Developer

   IBM

   Jul 2024 — Present · Bangalore, IN

   Played a key role in developing and scaling backend systems for the Agentic AI team in IBM Watsonx, contributing to production-grade AI asset creation and end-to-end model deployment pipelines used across enterprise environments.• Optimized multiple high-performance backend services using Scala and Go, improving system throughput and reducing latency across model orchestration workflows.• Strengthened containerized deployments using Docker and Kubernetes, and leveraged Redis, Kafka, and RabbitMQ to enhance caching efficiency, event reliability, and multi-service communication, resulting in a 40% improvement in rollout speed.• Integrated Instana and OpenTelemetry for full-stack observability, enabling distributed tracing, proactive performance monitoring, and ~35% faster debugging cycles across services.• Worked extensively with diverse model families including BYOM, CFM, BFM, LoRA, TSFM and streamlined deployment workflows that reduced model onboarding time by ~50%.• Developed and maintained CI/CD pipelines (Jenkins), automating build, test, and deployment stages to ensure consistent and reliable releases in fast-paced AI development cycles.• Designed a project that simulated the full AI model lifecycle, emulating the entire pipeline to perform end-to-end environment testing, improving stability, catching critical integration issues earlier, and reducing release defects.

Education

• Haldia Institute of Technology

  Bachelor's degree, Information Technology

  2018

• Resonance Eduventures Limited

  PCM

  2017 — 2018

• DAV Centenary Public School - India

  Intermediate in Science, PCM

  2015 — 2017