Surendra Tamang

Surendra Tamang

Pokhara, Nepal · Apify Ambassador 🇳🇵

I design and build software that ships — web scraping, data pipelines, AI integrations, DevOps, and full-stack apps. Started with a curiosity about how data flows across the web; now I architect systems that process 50 million records daily.

I use AI tools to ship faster and build AI-powered features into client products. I also lead engineering teams, mentoring developers to build production-grade infrastructure that scales.

2015
Building since
50+
Projects
100%
Success

Journey

Where I've been and what I shipped along the way.

2023–Now

Senior Engineer & Team Lead

Freelance

  • Built 50+ web scraping solutions processing millions of data points daily
  • Achieved 100% job success rate on Upwork with 5-star average rating
50M+ records/day
2021–2023

Data Specialist

Startups

  • Developed real-time data pipelines handling 1M+ transactions per day
  • Created SaaS platforms serving 50+ businesses with 100K+ users
99.9% uptime
2019–2021

Full-Stack Dev

Various

  • Delivered projects for clients in USA, Europe, Australia, and Asia
15+ projects

How I work with AI

"2–3× faster" isn't a slogan — it's a workflow. Here's exactly what AI does in my process, and what it never touches.

The toolchain

Claude Code with a custom agent system I've built up over years: specialized subagents for investigation, building, and review, plus my own tooling like RTK, which cuts 60–90% of wasted tokens so agent sessions run longer and cheaper.

The workflow

Every project runs spec-first: I write the design, agents draft implementation against it, and nothing merges until it passes my review and the project's checks. AI does the typing; the engineering decisions are mine.

What stays human

Architecture, code review, security decisions, and every conversation with you. AI never talks to my clients and never ships unreviewed code. You get senior-engineer judgment at AI-assisted speed — not autopilot.

What that means in practice

Work that used to take me a week solo — a production scraper, an API integration, a data pipeline — now ships in days: agents handle boilerplate and first drafts while I focus on the parts that need judgment. Same quality bar, roughly a third of the calendar time.

Technologies

The tools I reach for every day.

Languages
PythonSQLTypeScript
Data
AirflowPostgreSQLKafkadbt
Scraping
ScrapyPlaywrightSelenium
APIs
FastAPIGraphQLDjango REST
DevOps
DockerAWSKubernetes

I'm always open to interesting data challenges. Let's discuss yours.

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