Hi, I'm
Nguyen Ly Thanh
Backend Engineer
Backend engineer, 6+ years. I own the technical side — design doc to production.
Systems I've Built
Built to shipExperience
- 07/2022 – PresentHCMCBackend DeveloperParcel Perform CO. LTD
- Iris Squad — ran a 20M+ records/day notification pipeline (SMS, Email, Webhook); owned platform auth service.
- Phoenix Squad — re-architected Email Sync to 10M+ emails/day; daily shipment digest; coverage > 90%.
- Nexus Squad (AI) — Tech Lead on Campaign Engine, AI Ecommerce Visibility, Sales Agent (LangChain + AWS Bedrock).
- 03/2021 – 07/2022HCMCBackend DeveloperJobHopin CO. LTD
- Led monolith → microservices migration for the recruitment platform.
- Built JOB-AI LYSIS solo (Django, DRF, Celery, AWS, MySQL, Docker) — published on SAP Store via SAP contract.
- BDD automation framework in Go/Godog covering 100+ scenarios.
- 02/2019 – 02/2021HCMCFull-Stack DeveloperKyanon Digital CO. LTD
- AI-powered facade inspection frontend (30+ defect types) with ReactJS + Sketchfab 3D.
- AML real-time transaction screening (Django, Celery, AWS).
- 4-service identity verification: Facecompare, OCR, Digital Signature, Auth.
Featured Project
TSOnline TNT
LiveSolo-built and still running real-time game server — full-stack, full ownership.
Key Achievements
High-Scale Systems
Designed pipelines processing 20M+ records and 10M+ emails per day with stable throughput.
AI Products
Tech Lead on Campaign Engine, AI Visibility, Sales Agent — LangChain/LangGraph on AWS Bedrock.
Performance Wins
Drove PMT shipment search latency from 60s down to 23s.
Full Ownership
TSOnline TNT — sole backend + ops, in production for 6+ years.
Blog
Notes on backend, AI agents, and shipping things that hold up in production.
GPT-5.5 vs Claude Opus 4.7: The SWE-bench War That Defines AI Coding in 2026
GPT-5.5 just edged Claude Opus 4.7 on SWE-bench Verified — 88.7% to 87.6% — while Claude Mythos Preview quietly topped the harder SWE-bench Pro at 77.8%. And xAI's Grok Build entered the race at 70.8% with a model priced 25x cheaper. The real story is not who is winning this week. It is what this race reveals about what AI can and cannot do in a real codebase — and how to choose the right model for your team.
The Multi-Agent Era Is Here: What Anthropic's 2026 Coding Report Means for Every Developer
Anthropic's 2026 Agentic Coding Trends Report reveals a seismic shift: average Claude Code sessions now run 23 minutes (up from 4), touch 47 tool calls, and 78% involve multi-file edits. The verdict is clear — 2025 was the year of AI assistants, 2026 is the year of AI teams. Here's what every developer needs to know.
Claude 'Dreaming' Is Not a Gimmick: How Anthropic's New Agent Memory Fixes Production AI
At Code with Claude 2026 (May 6), Anthropic shipped three features for Claude Managed Agents: Dreaming, Outcomes, and Multiagent Orchestration. Together they tackle the hardest problems in production AI — agents that forget, context windows that overflow, and termination conditions that are never clearly defined. Harvey saw 6x task completion improvement. Wisedocs cut document review time by 50%. Here is what each feature does and why it matters to developers building real systems.