Arjen Singh.

UCLA · Computer Science

Arjen Singh.

Learning systems that
see, reason & build.

I connect software to real engineering and research problems—turning point clouds, neural networks, and autonomous agents into tools that hold up outside the lab.

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Arjen outside the Metropolitan Museum of Art.
An afternoon at the Met.
My working interests
  • Novel AI Research
  • LiDAR & Perception
  • Neural Networks
  • Agentic Software Engineering

01Selected projects

Ideas, put to the test.

Explore the work

02Experience

Engineering in practice.

From sensing and tracking to enterprise AI and manufacturing software.

Sensing & autonomous systems

The Aerospace Corporation

LiDAR Engineering Intern

Jun–Aug 2026

Work spanning long-range LiDAR characterization, telescope-array simulation, and resident space object (RSO) detection.

Selected work
  • Active/passive tracking and MHT versus PMDAF benchmarking.
  • Automated beam profiling and LiDAR characterization.
  • MCP servers and AI agents interacting with production systems.
LiDARTrackingSimulationAI agents

Software for manufacturing

Astra Space

SWE Intern · Manufacturing Operations

Mar–Jun 2026

Engineering work on an ITAR-compliant LLM gateway serving 150+ enterprise users, alongside tooling for manufacturing operations.

Selected work
  • LiteLLM proxy and enterprise LLM agent workflows.
  • Manufacturing bill of materials (mBOM)-backed tooling and real-time build/work-order visibility.
  • Quality Control workflow improvements using Python, JavaScript, and GraphQL.
PythonJavaScriptGraphQLLiteLLM

Enterprise AI workflows

Stealth Startup

SWE Intern · Operations

Nov 2025–Jan 2026

RAG-based enterprise knowledge retrieval and operational task automation, in collaboration with Operations and Analytics.

Selected work
  • Business workflow automation and internal system integration.
  • Enterprise AI workflows connecting knowledge retrieval with operational tasks.
RAGAutomationSystem integration

Selected details omitted due to confidentiality.

03A little about me

Curious about the model.
Just as curious about the system.

I’m a Computer Science student at UCLA, interested in what happens when machine learning meets the constraints of a real system.

My work spans robot navigation, LLM evaluation, and engineering tools. I’m especially drawn to problems where uncertainty is part of the design.

More about me