About Me

Software developer in Calgary, AB, Canada. Core value: automation.

Who I am

I'm Tan Le, a software developer with many years of experience building production applications, RESTful APIs, and data pipelines — primarily in C#/.NET, Python, and SQL Server. These days most of my work sits at the intersection of backend engineering and AI: I design and operate LLM-powered systems that run in daily production, not demos.

Before moving to Canada, I spent six years at HSBC delivering 24/7 payment systems in a regulated, audit-driven banking environment — including a core-card repayment gateway that scaled from 100K to 1M daily transactions and earned a CEO Recognition Award. Earlier, at FPT Information System, I helped build the iHRP payroll and HR platform used by 50+ major clients.

What I do best

  • AI in production: multimodal LLM email classification (fine-tuned GPT-4o-mini on a self-built labelled dataset), interchangeable OpenAI/Gemini backends behind a single JSON contract, and defensive LLM-output parsing so one malformed response never breaks a batch.
  • Backend & integration: .NET / ASP.NET Core, Python, RESTful APIs, event-driven architecture, Hangfire background jobs, and integrations across 10+ third-party systems (POS, banking APIs, Gmail, Slack, Google Sheets).
  • SQL at scale: query optimization and index design over 130M+ row tables — including a ~10x I/O reduction on a synchronization procedure by replacing a 13GB clustered-index scan with targeted covering and filtered indexes.
  • Front-end when the job needs it: React (built a multi-tenant feature-entitlement UI gating pages and fields by subscription), Blazor (workforce-management system), Vue.js (banking payment gateway), and Angular.
  • Cloud & DevOps: Azure (App Service, Functions, Logic Apps), AWS (EC2, Lambda), Docker, and GitHub Actions CI/CD.

Certifications

  • Google Cloud Professional Cloud Architect
  • Project Management Professional (PMP)
  • Entry Certificate in Business Analysis (ECBA)

Featured writing

If you're evaluating my work, start with these posts — they describe systems I built and run in production:

Get in touch

I'm open to full-time and contract opportunities in backend, platform, and AI-infrastructure engineering.

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Popular posts from this blog

Featured Projects: Automation and AI Systems I Built and Run

This is a living index of the systems I'm most proud of — each one is in daily production use, and each links to a deeper technical write-up. If you're a recruiter or hiring manager, this page is the fastest way to see what I actually build. 1. AI Email-Triage Pipeline (LLM classification in production) A pipeline that classifies hundreds of ticketing emails per day (presales, releases, cancellations) using multimodal LLMs, then distributes summarized reports automatically to the relevant business departments. I fine-tuned GPT-4o-mini on a labelled dataset I built from PDF archives, put OpenAI and Gemini behind a single interchangeable JSON contract for cost/performance trade-offs, and wrote a defensive C# parsing layer — balanced-brace JSON extraction, tolerant custom JsonConverters, code-enforced business invariants — so a single malformed model response never breaks the batch. Stack: C#/.NET, OpenAI API (fine-tuning), Gemini, IMAP, SQL Server Read more: Classifying E...
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AWS API gateway, S3

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  Tutorial: Create a REST API as an Amazon S3 proxy in API Gateway - Amazon API Gateway Using REST API to upload files to the S3 bucket - BlueGrid : BlueGrid AIM role Edit Trust Relationship {   "Version": "2012-10-17",   "Statement": [     {       "Effect": "Allow",       "Principal": {         "Service": "s3.amazonaws.com"       },       "Action": "sts:AssumeRole"     },     {       "Effect": "Allow",       "Principal": {         "Service": "apigateway.amazonaws.com"       },       "Action": "sts:AssumeRole"     }   ] } Next, go to API Gateway --> create a REST API. Create the folder & item resource create GET -->  with "tanldttestingapigateway" is a S3 bucket name. /{folder}/{item} - GET - Method Execution --> to add URL path parameters Create the fo...
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Business case: Monitor mailbox and auto-save the attachment to a SharePoint

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Business Case: - Monitors a shared mailbox for messages that contain the words "expense report" - Saves the attachment to a SharePoint Library called ExpenseReports - Marks the email as Read - Marks the email as Complete  Solution: Enter a value for Flow name, and then search the triggers for When a new email arrives in a shared mailbox (V2): Select SharePoint site Mark as read Flag email Result:
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