Surendra Tamang
Pokhara, Nepal ยท Apify Ambassador ๐ณ๐ต
I'm a software engineer specializing in web scraping, browser automation, and data engineering. Started with a curiosity about how data flows across the web; now I architect systems that process 50 million records daily past anti-bot systems. When a project needs the whole thing, I build the full stack around the data too.
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.
Journey
Where I've been and what I shipped along the way.
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
Data Specialist
Startups
- Developed real-time data pipelines handling 1M+ transactions per day
- Created SaaS platforms serving 50+ businesses with 100K+ users
Full-Stack Dev
Various
- Delivered projects for clients in USA, Europe, Australia, and Asia
How I work with AI
"2โ3ร faster" isn't a slogan โ it's a workflow. Here's exactly what AI does in my process, and what it never touches.
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 60โ90% of wasted tokens so agent sessions run longer and cheaper.
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.
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 โ not autopilot.
Work that used to take me a week solo โ a production scraper, an API integration, a data pipeline โ 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.
I'm always open to interesting data challenges. Let's discuss yours.
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