CV
Fourth-year Statistics and Computer Science student working across agent-based validation, full-stack research software, and network measurement.
Education
University of California, Santa Barbara · Goleta, CA
B.S. Computer Science & B.S. Statistics and Data Science · Aug 2023 — May 2027
Major GPA: 3.98/4.00
Relevant coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, Computer Architecture, Machine Learning, Artificial Intelligence, Computer Vision, Probability, and Distributed Systems.
Experience
Lucid Motors
Software Engineer · In-Vehicle AI Assistant Engineer · Jun 2026 — Present
Developed an automated in-vehicle agent testing framework in Kotlin, validating the full pipeline from voice activation through network hops to vehicle signal execution and reducing QA testing time by 80%.
Engineered multi-agent testing to simulate realistic customer behavior and validate assistant behavior through deterministic function checks, metric scoring, and semantic evaluation, increasing new failure discovery by 4×.
Mayer Lab · UC Santa Barbara
Founding Software Engineer · Jul 2025 — Jun 2026
Sole-developed a U.S. Navy-funded classroom research platform supporting daily video-based HCI experiments across UCSB labs, with AutoGen multi-agent systems simulating student audiences (Award UC-2026-822-1).
Built a video delivery platform supporting 30+ concurrent streams across simultaneous daily experiments, benchmarked at 55% lower startup latency and 75% lower compute cost than S3 and CloudFront.
Engineered a real-time synchronization system with horizontally scaled WebSocket servers, Redis Pub/Sub, and automated failover, maintaining under 100 ms p95 playback drift with sub-second recovery from server failures.
Research projects
MOMENT Lab · UC Santa Barbara
Undergraduate Researcher · Jul 2025 — Apr 2026
Second-authored DualPI2 for Mahimahi (ACM SIGCOMM CCR), introducing an L4S-capable DualPI2 emulator and a statistically grounded methodology for improving fidelity to kernel-space behavior.
Quantified Mahimahi DualPI2 fidelity against the Linux kernel implementation using time-series analysis and robust nonparametric tests, identifying statistically significant gaps in packet timing and shaping.
Engineered a concurrent network experimentation system using Linux namespaces, traffic-control, and virtual-networking primitives, enabling parallel collection with under 5% cross-run variance.
Vision Research Lab · UC Santa Barbara
Researcher · Semantic Gaussian Scene Editing · Nov 2025 — Present
Engineered a 3D Gaussian Splatting cleanup pipeline using geometric point-cloud constraints and lineage-based pruning, matching segmentation-based isolation quality; preprint in preparation.
Developed and evaluated a ReAct agent for autonomous 3D scene cleanup, measuring how episodic memory, learned Gaussian features, and tool/action-space design affect editing performance.
Systems & Networking Lab · UC Santa Barbara
Researcher · Agentic Network Experimentation · May 2026 — Present
Developed an automated multi-application traffic generator for the California Public Utilities Commission (CPUC) to simulate realistic household Internet usage from natural-language queries.
Developed a centralized observability system tracing execution order, latency, and user intent across multiple microservices and LangGraph workflows, reducing mean time to root cause by 8×.
Publications
A DualPI2 Module for Mahimahi
Second author · ACM SIGCOMM Computer Communication Review
Awards
View my hackathons on Devpost →
UCSB Hackathon — First place · 2025. Aryan.AI — an LLM vision scraper with 96% accuracy across 20 sites.
UCSB Datathon — First place · 2025. Groq.AI — a multi-agent pandemic simulator across 20 agents.
Unwrap.AI Hackathon — Winner · 2025. A Qwen video-understanding pipeline for ad generation.
Skills
Systems & infrastructure: AWS (EC2, ALB, VPC, S3, RDS, ElastiCache, ECR, CloudWatch, IAM), Kafka, RabbitMQ, Cassandra, Spark
Languages: TypeScript, Kotlin, Python, C++, Java, JavaScript, SQL, R, Bash, Go
Tools: React, Three.js, Django, OpenCV, Docker, Swagger, Celery, Nginx, Storybook, Playwright, Redis
AI: NumPy, PyTorch, CNNs, R-CNNs, transformers, RAG, reinforcement learning, prompt engineering