CHENGHONG MENG

Full-Stack Developer, with AI applied mindset | SF Bay Area

San Francisco, CAcmeng@chm1.prohttps://github.com/chenghongmhttps://dev.to/chenghongmhttps://www.linkedin.com/in/chenghong-m-6ab022103

Summary

Converting complex physical-world logic into high-efficiency digital architecture. Targeting roles that require rigor, scale, and AI integration.

Experience

Full-Stack Developer | Therapy Industry | New York, NY

2022-03 - 2026-04

Designed and developed internal systems for session scheduling, wellness digitalization, goal progress tracking, batch reporting,and compliance workflows across multiple roles and campuses.6200+ contributions from May 2022 on GitHub

  • Event and Reminder Management System. Designed and developed event management system to send timely reminders for important dates and events, allowing admin flexibly grouping up different categories employees based on their roles and locations to customize reminder preferences and ensuring high attendance and engagement. Implemented with queue-based architecture for scalability and reliability
  • Scheduling Systems for session coordination across 5+ roles and 3 campuses. Designed a scheduling system to orchestra resources across 5+ roles and 3 campuses weekly 2000+ and daily 400+ sessions to be auditable and aligned with student attendance and employee PTO and availability; ensure session manageable under flexible constraints; generate reports for resource coordination and capacity planning.
  • Goal Progress Tracking System daily/bi-weekly/quarterly progress tracking for 30k+ goals and multiple years. Designed a goal progress tracking system to manage 30k+ goals and multiple years of data, enabling time shift monitoring of progress towards goals, generating insights with visualization of heat maps for clinicians, and providing actionable recommendations for next steps.
  • Bank-like PTO system. Designed and developed a bank-like PTO system to manage staff time off, allowing customize PTO requests and track PTO in a transparent and auditable manner, ensuring alignment with scheduling and session coordination.

Scheduling · Resource Coordination · Progress Tracking · PTO Management

Software Engineer | Crypto Trading Platform | New York, NY

2021-05 - 2022-01

Managed user center and developed KYC verification flow for a cryptocurrency trading platform supporting 68k+ users, ensuring secure and compliant onboarding while maintaining a seamless user experience.

User Management · KYC Verification · Security · Compliance

Selected Projects

AI-assistant QPR (Quarterly Progress Report) System Upgrade

2026-03

Designed an AI Orchestration Layer managing the full LLM workflow — data preparation, prompt construction, model routing (local vs API), output parsing, and validation guardrails, versioning and with human-in-the-loop — projecting ~33% reduction in clinician documentation time per reporting cycle.

LLM · AI Orchestration · Post-processing · Versioning · Human-in-the-Loop

Local LLM Training Pipeline

2025-12 to present

End-to-end pipeline: export conversation data from multiple AI platforms, score, filter, clean, desensitize, convert, and fine-tune. Architecture insight: scoring before desensitization prevents placeholder leakage. Working adapter: local_claude_final2.

Python · MLX · Llama 3 8B · Claude API · Fine-tuning

AI Chat Workbench Extension

2025-12 to present

Browser extension injecting branch-marking UI into Claude, Gemini, ChatGPT, and Grok simultaneously, enabling precise branch marking, collapsing, and navigation across hundreds of messages. Platform-specific adapters handle DOM differences across four distinct interfaces.

Chrome Extension · JavaScript · Multi-platform · DOM

Multi-model Scoring Pipeline

2026-03 to present

Two-stage classification: Claude API (Haiku) for topic judgment, GPT for format summarization. Each model used where it outperforms the other. Designed to run before data desensitization to prevent placeholder contamination in training sets.

Claude API · GPT · Pipeline Design · Python

Job Search Assistant

2026-04 to present

AI-powered job search assistant that helps users find relevant job opportunities based on their skills, experience, and preferences. The assistant provides personalized recommendations and streamlines the job application process.

Job Search · AI Recommendations · Personalization

Stance Stability Evaluation Pipeline

2026-08

Pipeline for measuring whether a language model's expressed positions hold up after argumentative pressure is removed — built for a weekend AI research sprint

LLM · Evaluation · Stance Stability · Argumentative Pressure

Skills

  • Laravel / PHPPrimary
  • ReactPrimary
  • MySQLPrimary
  • LLM / MLXGrowing
  • Node / JSFluent
  • PythonFluent