Donald’s work spans autonomous driving, embedded driver monitoring, machine learning, local LLM inference, industrial SOP verification, software systems, quantitative finance, and interactive learning tools. Start with the leading project in each field, then use a role lens to narrow the evidence.
The lens changes the order of the work. The evidence stays the same.
STRONGEST RELEVANT EVIDENCE
Robotics & Autonomous Driving · FIELD RANK 1
Robotics & Autonomous Driving · Project record · Sep 2026 Donald implemented lane-segmentation stages, curvature-based speed control, particle-filter updates, eight-direction LiDAR support, and an offline localization parameter sweep within shared course infrastructure.
An integrated set of perception, control, and localization modules, with training checkpoints and simulation experiments that compare position error, heading error, convergence, and effective sample size.
Embedded Systems & Computer Vision · FIELD RANK 1
Embedded Systems & Computer Vision · 2025 – Present Deployed and validated real-time inference for eight safety-relevant detector classes. Designed the hierarchical alert state machine and vehicle-context gating, persisted per-camera calibration profiles, and built the diagnostic lab CLI.
Validated on real cabin video and shipped a 616-test pytest suite with replay-driven regressions, inference-cadence checks, and per-detector coverage metrics in lockstep with model development.
Machine Learning & Model Research · FIELD RANK 1
Machine Learning & Model Research · February–March 2026 Donald built raw-feature retrieval baselines, model-adaptation experiments, causal PCA, and persistence-head training around upstream time-series models. The related Kronos RAG workspace is a separate local study.
The research framework connects retrieval, forecasting, and decision-rule evaluation. Ablations exposed an objective that disabled simulated exits, while regime-selected retraining did not outperform its rolling baseline in the documented study.
Local LLM Inference & Agents · FIELD RANK 1
Local LLM Inference & Agents · Project record · Sep 2026 Application-side controls wrap upstream Qwen/vLLM with durable request budgets, fixed decoding settings, runtime metadata, and structured outputs. Donald also contributed private-serving configuration in the event-ending project.
Local Qwen generation was exercised successfully. The client handles output truncation and distinguishes transport, HTTP, parsing, and completion failures; this is inference integration, not a new model or serving engine.
Software Systems & Automation · FIELD RANK 1
Software Systems & Automation · Spring 2025 Architected a kernel from scratch with virtual memory, fork/exec, 15+ system calls, VIRTIO block drivers, and a custom KTFS filesystem.
A complete kernel supporting process creation, executable loading, filesystem access, multitasking, and an interactive shell.
Quantitative Finance & Markets · FIELD RANK 1
Quantitative Finance & Markets · September 2026 Donald’s agent-assisted independent refactor separates execution, tape, backtesting, research, and dashboards, with explicit runtime paths and write controls. Earlier system and research snapshots retain shared-source attribution.
An independently packaged execution/research system with reconciliation for ambiguous order outcomes. Dated September 4 verification records 1,526 passing offline tests; production equivalence and profitability are separate, unproven outcomes.
Interactive Tools, Learning & Writing · FIELD RANK 1
Interactive Tools, Learning & Writing · Summer 2025 Built the React/TypeScript client, Node.js and Socket.io multiplayer backend, Supabase authentication and ELO rankings, and a custom mathematical game engine.
Launched in 72 hours. Donald’s Summer 2025 project record reports 760+ unique puzzles solved and 100% uptime during the reported launch period.
Updated September 2026. Project sources, contribution context, and reported outcomes are linked from each record. Experience supplied by Donald; publication metadata links to IEEE records.