Background / At a glance
A little more
on the record.
Education, engineering experience, and selected technical work.
Arjen Singh
arjensingh@outlook.com · https://www.linkedin.com/in/arjensingh2005/
Education
University of California, Los Angeles
B.S. Computer Science · Expected June 2027
Focus areas: Novel AI Research, LiDAR & Perception, Neural Networks, Agentic Software Engineering.
Engineering experience
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.
- Active/passive tracking and MHT versus PMDAF benchmarking.
- Automated beam profiling and LiDAR characterization.
- MCP servers and AI agents interacting with production systems.
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.
- 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.
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.
- Business workflow automation and internal system integration.
- Enterprise AI workflows connecting knowledge retrieval with operational tasks.
Selected details omitted due to confidentiality.
Selected projects
Dynamic Programming for Belief-Aware Robot Navigation
Combining offline dynamic programming with online Bayesian belief updates to study how a robot should navigate when it cannot confidently localize itself.
Context-Aware LLM Safety Supervisor
A conversation-aware safety supervisor that evaluates dialogue history before a chatbot responds, tested across model sizes and moderation approaches.