Research Assistant
University Lab
Ongoing work on applied machine learning.
Indigo Luksch
I build things at the edge of research and software.
University Lab
Ongoing work on applied machine learning.
Jane Street
Researched market-making strategies for listed derivatives.
Next.js, Tailwind, Cloudflare
This site — a timeline of experiences and projects.
PyTorch, ONNX, quantization
Built a framework for compressing deep neural networks for edge deployment.
React, D3.js, WebGL
Built a real-time visualization platform for high-dimensional datasets.
Rust, Apache Kafka, gRPC
Low-latency event processing system for real-time analytics.
DeepMind
Research on efficient attention mechanisms for transformer models.
TypeScript, Neo4j, query planning
Query optimization engine for graph databases.
Anthropic
Developed features for Claude's web interface and internal tooling.
Python, HNSW, Rust bindings
High-performance vector similarity search for embeddings.
Stripe
Built payment processing infrastructure and APIs.
LLVM, C++, control flow analysis
Intermediate representation optimizer for LLVM-based compilers.
Go, Prometheus, Grafana
Infrastructure monitoring platform for multi-region deployments.
OpenAI
Research on vision transformers and multimodal learning.
Rust, async/await, routing
High-performance web framework inspired by modern API patterns.
Google Brain
Natural language understanding research and model fine-tuning.
Databricks
Distributed systems and data processing infrastructure.
Python, Redis, consistent hashing
Multi-tier caching system for high-throughput applications.
Meta
React component library and performance optimization.
Python, NumPy, OpenCV
High-level image manipulation and computer vision utilities.