Aryan Kumar Singh

Full Stack Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable, resilient systems.
Proficient in full-stack development and DevOps practices.
Strong focus on clean architecture and continuous learning.

Stackforce AI infers this person is a Full-Stack Developer with expertise in AI and Travel Tech industries.

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Skills

Core Skills

Full-stack DevelopmentDevopsBack-end Web DevelopmentMicroservices

Other Skills

ScalaGoDockerKubernetesKafkaRedisJenkinsJavaSpring BootMongoDBEvent-drivenSoftware DeploymentSoftware LifecycleContinuous Integration and Continuous Delivery (CI/CD)Bitbucket

About

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

3 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 9 mos

Current Experience

Ibm

Full Stack Developer

Jul 2024 – Present · 1 yr 9 mos · Bengaluru · On-site

Designed and scaled backend services in Scala and Go for IBM WatsonX’s Agentic AI platform, powering production-grade AI model deployment across enterprise environments
Reduced model onboarding time by ~50% by optimizing deployment workflows across multiple model families (BYOM, CFM, LoRA, TSFM)
Improved deployment efficiency by 40% by strengthening containerized infrastructure using Docker and Kubernetes
Built resilient event-driven pipelines using Kafka, RabbitMQ, and Redis to handle high-throughput asynchronous workloads
Reduced debugging time by ~35% by implementing distributed tracing with OpenTelemetry and Instana across microservices
Engineered a comprehensive FVT test suite in Go to validate critical workflows, significantly improving release reliability and reducing regression risks
Automated CI/CD pipelines using Jenkins, enabling faster and more consistent releases across rapid AI development cycles
Owned critical components of AI model deployment workflows, ensuring high availability and reliability across distributed systems
Collaborated with cross-functional teams to design scalable system architectures and improve end-to-end deployment efficiency

ScalaGoDockerKubernetesKafkaRedis+3

Amadeus labs

SDE-1

Aug 2022 – Jul 2024 · 1 yr 11 mos · Bengaluru · Hybrid

Developed and scaled 20+ backend features using Java Spring Boot, supporting high-volume, real-time applications used by thousands of users
Optimized MongoDB queries and indexing strategies, reducing latency by ~30% and improving system performance under load
Designed and automated CI/CD pipelines using Jenkins, reducing deployment time by 40% and increasing release frequency
Delivered end-to-end features across 25+ agile sprints, consistently meeting timelines and quality benchmarks
Collaborated with cross-functional teams (product, QA, platform) to design scalable APIs and improve system integration
Improved code quality and maintainability through peer reviews, design discussions, and adherence to best practices
Designed and owned REST APIs with a focus on scalability, maintainability, and low-latency performance
Troubleshot and resolved production issues, improving system stability and ensuring seamless user experience