Pooja Audichya

Software Engineer

New Delhi, Delhi, India3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building secure, cloud-native platforms.
Proficient in Java-based microservices and distributed systems.
Innovative in integrating AI workflows into engineering processes.

Stackforce AI infers this person is a Backend Developer specializing in Cloud Computing and AI-driven solutions.

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Skills

Core Skills

Backend DevelopmentCloud-native Development

Other Skills

JavaSpring BootKubernetesAWSGCPOAuth2JWTKafkaRedisCI/CDGitHub ActionsJenkinsLLMPythonREST

About

I’m a backend software engineer with experience building secure, cloud-native platforms and distributed services at scale. My work has focused on developing Java-based microservices powering Intel’s confidential computing attestation platform, where reliability, security, and system correctness are critical. I enjoy working close to core systems — designing APIs, debugging complex distributed behaviors, and improving developer workflows through automation and intelligent tooling. Over time, I’ve also integrated LLM-driven workflows into engineering pipelines to simplify log analysis, validation, and knowledge discovery across teams. My core strengths include: • Backend system design using Java & Spring Boot • Cloud-native development across AWS and GCP • Kubernetes-based deployments and CI/CD automation • Secure service design with OAuth2/JWT • Applying LLM and RAG techniques to real engineering problems I’m currently interested in backend and platform engineering roles where I can build scalable systems while continuing to explore practical applications of AI within production environments.

Experience

3 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

Current Experience

Intel corporation

2 roles

Cloud Application Developer

Aug 2022 – Jul 2025 · 2 yrs 11 mos · Bengaluru · Hybrid

● Designed and owned scalable distributed microservices architecture using Java Spring Boot for a confidential computing attestation platform, enabling secure workload verification using TPMs, TEEs, and GPU-based confidential workloads across AWS and GCP.
● Built secure REST APIs with JWT/OAuth2-based authentication, handling API design, versioning, validation, and compliant data processing for enterprise-grade systems.
● Deployed containerized microservices on Kubernetes (GKE/EKS) using Docker, ensuring scalability, high availability, and fault-tolerant distributed system behavior.
● Integrated Kafka for event-driven architecture and Redis for caching, improving system throughput for high-load, large-scale distributed workloads and reducing API response latency by 30–40% under high-load scenarios.
● Built an LLM-driven log analysis system and RAG-based assistant to streamline debugging and improve developer productivity, while also optimizing CI/CD pipelines (30% better reliability) using GitHub Actions and Jenkins.

JavaSpring BootKubernetesAWSGCPOAuth2+8

Software Developer Trainee

Jan 2022 – Jul 2022 · 6 mos · Bengaluru · Hybrid

● Developed Python modules for HDR and 3DLUT graphics features, optimizing processing workflows and improving integration with core graphics pipelines.
● Built production-ready backend utilities in Java and Python, adhering to enterprise standards for scalable, maintainable codebases.
● Refactored legacy components, reducing technical debt and improving issue resolution efficiency by 20%.
● Implemented REST/JSON integrations between internal services to support service-oriented architecture (SOA) goals.

PythonJavaRESTJSONGitBackend development