Engineering experience across backend, distributed, and AI-enabled systems.

AI Engineer

Treeloq ↗

Designing agentic AI workflow automation for multi-step business processes using Python, FastAPI, LangGraph, LLM tool calling, structured outputs, and external APIs, moving workflow state and tool orchestration into reusable AI services.

• →Building RAG and semantic-retrieval components with PostgreSQL/pgvector and grounded generation to address fragmented knowledge and improve how applications retrieve context before producing LLM responses.
• →Engineering reusable AI backend services with explicit state, validation, asynchronous execution, persistence, and REST interfaces so LLM and agent capabilities can be integrated cleanly into existing software systems.
• →Applying evaluation, tracing, and observability with OpenTelemetry, structured logging, and automated testing to inspect multi-step agent behavior, diagnose failures, and make AI workflows easier to iterate on.
• →Containerizing AI services with Docker and maintaining reproducible development workflows, helping move AI functionality from experimentation toward production-oriented application integration.

Chairman

IEEE Computer Society Student Branch

Held leadership or team-lead responsibilities across more than six university events, and contributed as a core member of HaXtreme, leading technical positioning and organization for HaXtreme 2.0.

Research Development Software Engineer

CodeGen International

Instrumented an existing Java/Python multi-agent orchestration framework with 10–12+ interacting agents for end-to-end distributed tracing, and built distributed agent-system components including RabbitMQ messaging, gRPC communication, and RAG components using Weaviate.

• →End-to-end tracing across the orchestration framework with OpenTelemetry, Jaeger, and Grafana.
• →GitLab CI/CD workflows, Docker, and Kubernetes-based environments.

Back-End Developer

Treeloq · formerly Priwoo

Primary backend contributor on customer-facing web applications, taking features from requirement analysis through implementation — REST APIs, JWT authentication, database models, and third-party integrations.

• →Serverless workflows on AWS Lambda and PDF-generation pipelines with Puppeteer.
• →Node.js/Express.js/MongoDB features for client-facing business applications.