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B Prithiraj

Backend, distributed systems & AI infrastructure

Software engineer at Oracle building Java services and the infrastructure around them: authenticated APIs, distributed caches, deterministic policy evaluation, and AI workflows. I work across design, implementation, testing, and Kubernetes delivery, with a focus on making system behavior reliable and explainable.

Experience

Oracle · Software Engineer 1

Jan 2024 – Present Hyderabad, India

  • Build Java / Helidon services and REST APIs, covering API contracts, search, filtering, pagination, input validation, and normalized responses.
  • Develop MCP integrations with the Java SDK and HTTP / JSON-RPC transport, including resource discovery, context retrieval, and OAuth2 / OIDC scope validation.
  • Implement deterministic policy evaluation with OPA and Rego compiled to WebAssembly, using evaluator pools, policy versioning, and reusable execution paths.
  • Build LangGraph workflows that combine structured context, policy decisions, and language models to support investigation and generate summaries.
  • Design distributed caching with Oracle Coherence and database change notifications, and deliver services through Kubernetes, Helm, CI pipelines, observability, and automated regression tests.

Dell Technologies · Data Engineering Intern

May 2023 – Jul 2023 Bengaluru, India

  • Maintained ETL pipelines for ingestion, transformation, validation, and analytical reporting. Automated data workflows using Kafka, StreamSets, Python, Shell, SQL, and Greenplum.

Technical skills

Backend
Java, Python, SQL, Helidon, Spring Boot, REST, OpenAPI, OAuth2 / OIDC
Distributed systems
Oracle Coherence, Kafka, Redis, Oracle DB, PostgreSQL, cache invalidation, ETL
AI infrastructure
MCP, JSON-RPC, LangGraph, OCI GenAI, OPA, Rego / WebAssembly
Delivery & reliability
Kubernetes, Helm, Docker / Podman, GitLab CI, Prometheus, automated API testing

Selected projects

InferenceMesh · Inference gateway

An OpenAI-compatible gateway with bounded admission, deterministic routing, streaming responses, and operational metrics. The current implementation uses a reproducible local backend; real model-serving integration is a separate milestone.

Aegis ResponseNet · Distributed systems

An interactive reference model for reliable operational workflows: idempotent commands, outbox delivery, query projections, and explicit compensation. The project page separates the working model from the wider service architecture.

FinAgent RiskOps · Agent workflows

An interactive reference model for evidence-grounded assistance with bounded tool access, review gates, and explicit handling of missing sources or unavailable providers.

Project pages include implementation details, current scope, and source links where available.

Education

IIIT Bhubaneswar · B.Tech, Computer Engineering

Nov 2020 – May 2024 CGPA 8.45 / 10

Coursework: data structures and algorithms, databases, operating systems, computer networks, machine learning, and deep learning.

Interested in working together? Get in touch.