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Waseem Anjum · Lahore, Pakistan · Remote

Full Stack &
AI Automation Engineer

I build AI agents, MCP servers and automation pipelines, and the Next.js, React and NestJS products they run inside. Based in Lahore, working remotely for a company in Bahrain.

Waseem Anjum

Profile

About me

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  • Focus

    AI automation + full stack

  • Based in

    Lahore, Pakistan

  • Stack

    TypeScript · Python

  • Works

    Remote

What I
build

For teams and founders who need working software, not a slide deck. Hire me for one lane, or for the whole stack from prompt to production.

  • LLM workflows moved out of request handlers and into queues: Node.js and Python pipelines with BullMQ, retries that respect rate limits, schema-validated output and human review where it matters.

Selected
work

08 featured builds: AI agents, MCP and developer tools, and full stack products. Scroll through, or open any case study.

Desktop

Sonora

Sonora is a private, fully offline speech studio for Windows. It runs AI text-to-speech, speech-to-text transcription and global voice dictation locally, so scripts and recordings never leave your PC.

Sonora cover with Live Transcribe studio window microphone and feature cards
Sonora desktop studio interface for offline speech sessions on Windows
Sonora marketing landing page showcasing the private AI speech studio
Open Source

Civitai Gallery Explorer

An open-source ComfyUI custom node pack that browses the Civitai gallery inside your graph, sends prompts, preview images and LoRA metadata to downstream nodes, and safely auto-downloads missing LoRAs.

Civitai Gallery Explorer cover with ComfyUI node browsing Civitai images
Civitai Gallery Explorer node beside a ComfyUI workflow with prompts and KSampler
Civitai Gallery Explorer node in ComfyUI wired to the Civitai LoRA Loader, CLIP text encoders and KSampler
Desktop

Civitai Browser

A Windows desktop app built with Tauri 2 and React 19 for browsing Civitai images that carry generation metadata and ComfyUI workflows, with a virtualized masonry gallery and native drag-and-drop into ComfyUI.

Civitai Browser cover with masonry gallery filters and desktop app preview
Civitai Browser main gallery browsing AI images in a masonry layout
Civitai Browser detail view for a selected image and its metadata
Desktop

Snipshot

Snipshot is a fast screenshot studio for Windows. Capture a screen, region or window, frame it in a mockup, annotate it and export share-ready PNG, JPEG or WebP images, all processed on your machine.

Snipshot cover with annotated mountain screenshot and capture export tools
Snipshot editor annotating a screenshot with arrows shapes and text
Snipshot landing page introducing the Windows screenshot annotation app
Website

Vidyoza

Vidyoza is a full-stack social media video downloader built with Next.js and NestJS. Save videos from YouTube, TikTok, Instagram, X and Facebook from 4K down to 144p, or extract audio, with live progress.

Vidyoza cover with paste link download UI and platform logo tiles
Vidyoza platforms section for YouTube Instagram TikTok X and Facebook
Vidyoza features cards for live progress quality audio and clean output
SaaS

Cladly

Cladly is a link-in-bio platform built with Next.js and Prisma. Creators get one page for every profile, post and link, with profession-tailored skins, rich content blocks and built-in analytics for views, clicks and CTR.

Cladly cover with bio link hero analytics widgets and social icons
Cladly landing hero with get started field and insight skin widgets
Cladly why section with skins blocks analytics stats and one link pills
SaaS

Banowi AI Commerce Agent

Banowi is an AI sales and support agent for Shopify merchants on WhatsApp. It answers customers from live catalogue data, places and tracks orders in the chat, matches payment screenshots to orders and hands off to a human in one click.

Banowi Agent cover with WhatsApp AI sales hero and analytics dashboard
Banowi Agent landing hero for WhatsApp sales grounded in Shopify catalog
Banowi Agent signup creating a workspace with three onboarding steps
Open Source

Benchline

Benchline is a free, open-source directory of browser tools for developers, SEO, PDFs and images. Every tool is also callable by AI agents in Cursor, Claude or VS Code through a stateless MCP server, with no API key.

Benchline dark tools catalog with category sidebar search and tool cards
Benchline dark all-tools page with popular cards and MCP ready filters
Benchline light tools catalog showing category sidebar and tool card grid

Journal

Latest
writing

All writing

How we
ship

One engineer, direct communication and a live preview from the first week. This is how a project with me runs, from the first call to production.

  1. Discover

    A short call and a written brief. We agree on the problem, the user, the data and what done means before any code exists.

    Scope, timeline, quote

  2. Design

    Flows, the data model and the system design first, so we agree on what gets built and where AI actually helps. Decisions you can react to, not mockup theatre.

    Clickable direction, tech plan

  3. Build

    Short cycles with a live preview URL from week one. You watch the product and its automations grow instead of waiting for a big reveal.

    Weekly deploys, honest status

  4. Ship & iterate

    Launch is the midpoint. Monitoring, performance passes, prompt and model tuning, and fixes while real users hit the product.

    Production launch, support window