Project Index
Products, infrastructure,
tools & experiments.
Projects across AI Agent/MCP, systems engineering, intelligence products, web analytics, data tooling and long-running Python engineering.
TurbineQ · AI-assisted production engineering.
The engineering journey itself is the artifact: architecture refactoring, benchmarks, regressions, observability and AI-human collaboration drive a long-running QUIC/network data-plane effort toward convergence.
TurbineQ
Not a QUIC performance leaderboard, but a production-engineering case showing how AI-assisted hypotheses are measured, falsified, refactored and converged.
Active, stable & paused products.
Active, stable and paused describe the current lifecycle of each project. Paused projects remain working artifacts while expansion is deprioritized in favor of deeper iteration.
ArkGate Python
A quick-start personal intelligence engine that collects, organizes and filters information across jobs, schools, industries, markets and personal projects, turning scattered searches into actionable lists.
FMCG Brief
An industry-intelligence radar for consumer brands, channel monitoring and market-entry decisions, continuously turning news into brand moves, channel signals, market opportunities and operating implications.
Pylab Brief
A multi-topic intelligence dashboard for lightweight research, organizing weather, food safety, Greater Bay Area news, automotive markets, agriculture, tenders and site-selection signals into fast-scanning briefings.
JobHunter
A job-intelligence tool for opportunity discovery, data cleaning, role analysis and resume-positioning support, gradually automating collection, analysis, presentation and publishing.
Prompt Skill Hub
An AI work-asset system for individuals and teams that organizes prompts, skills, project context, tool instructions, failure conditions and version history into structured resources that Agents can search, invoke, reuse, version and access under authorization.
Web Content Extraction
A deterministic, non-LLM Python article extractor that reports complete-body extraction for about 98% of its target site set and serves as an ingestion layer for Agent/LLM web workflows.
TurbineQ
A QUIC proxy and transport engineering project focused on connection scheduling, congestion behavior, recovery, forwarding stability and controllable operation under stress; current work concentrates on protocol boundaries, scheduling, benchmarking and observability.
SignalArk
A multi-tenant analytics product for lightweight measurement, campaign templates and analysis, in the same problem space as web analytics; current work focuses on data structures, metric definitions, tenant boundaries, content-source integration and explainable review.
FlowArk
A network runtime for domain rules, gateway routing, traffic decisions and recovery scenarios, with current work focused on rule observability, decision traces, fault recovery, configuration convergence and cross-platform operation.
Site Scout
A site-selection assistant for store owners, expansion teams and regional operators, providing location checks, trade-area profiling, competitor density, accessibility and time-of-day observation guidance before on-site visits.
Agent, LLM infrastructure & application delivery.
KDD Agent
Agent runtime, MCP/tool integration, task state and execution boundaries.
Codex-Shim
Rust Responses-to-Chat protocol adapter for Codex CLI.
AI Web Chat SDK
Secure embedded AI conversation infrastructure; also used by this portfolio.
Web Content Extraction
A deterministic, non-LLM web-content extraction layer that provides clean inputs for Agent/LLM web research, retrieval and context construction.
Document parsing, ETL & data governance.
These projects emphasize conventional Python data engineering without an LLM dependency: structuring, cleaning, validation, orchestration and production data pipelines.
TableX
Structures DOCX/PDF contract tables for audit and evidence workflows, including header detection, similar-header merging, field mapping and complex multi-table documents; historical materials report about 95% header-identification accuracy.
DataX-Python
A Python data-cleaning and governance track covering orchestration, chunked processing, primary-key deduplication, dirty-data side paths, quality validation, load auditing and failure recovery, extending broader Airflow/DataX production experience.
Reusable data and quantitative engineering tools.
pytrade-sms
Securities metadata, indexing and retrieval infrastructure.
pytrade-mock-ohlcv
A reproducible synthetic OHLCV generator for demos, smoke tests, documentation examples and fast validation of market-data pipelines.
pytrade-backtest
A Polars-based A-share backtesting framework covering T+1 execution, market constraints, order state transitions, risk controls, dynamic slippage and performance analysis.