What kind of work do you do?

I help startups and businesses build scalable SaaS products, automate workflows with AI, integrate powerful APIs, and ship full-stack features from database schema through deployment. That includes admin dashboards, real-time portals, CRM integrations, and Meta API chatbots.

What's your primary tech stack?

React, Next.js, and TypeScript on the front end with Node.js and Express on the back, plus PostgreSQL or MongoDB. I also work with Socket.io, Prisma, AWS S3, Vercel, and automation tools like n8n and Zapier.

Dhaka, Bangladesh. I'm open to remote roles and currently work with a Canada-based team at Biz Growth Lab Ltd alongside my role at DataVro Agency.

What SaaS products have you built?

ZiloChat (WhatsApp Business SaaS at zilochat.io), the RPL Automation Platform for RPL.it Australia, the DataVro agency site at datavro.org, growth builds like Qila Capital and MediaZilla, and an Eventbrite lead automation stack in n8n with Apify, Claude, and Gmail outreach.

Do you build real-time features?

Yes. I've implemented Socket.io messaging, live conversation updates, event-driven automation, and role-based access across production portals such as RPL Automation and ZiloChat.

Do you do growth engineering too?

Yes. Alongside product development, I work on technical SEO, GEO, and AEO, CRM automation, conversion funnels, and structured data workflows for search and AI discovery, especially for SaaS products at Biz Growth Lab.

What's your academic background?

B.Sc. in Computer Science and Engineering from University of Asia Pacific (CGPA 3.91/4.00), graduated June 2025. Dean's Honor and Vice Chancellor's Awards recipient.

Any research experience?

Research on resource-efficient leukemia detection using knowledge distillation with explainability. Paper under review, with a live NanoCNN demo at nanocnn.onrender.com.

Leadership outside coursework?

Served as Vice President of the Research & Publication Unit at CSE Club (2024 to 2025), leading research initiatives and co-organizing the Intra-University Research Expo 2025.

Are you open to new opportunities?

Yes. I'm interested in full-stack engineering roles, SaaS product work with startups and businesses, and projects involving AI automation, API integration, or growth engineering.

Do you take freelance or contract work?

I consider select contract engagements for full-stack SaaS builds, AI workflow automation, CRM integrations, and technical SEO or GEO projects. Reach out with scope and timeline.

How do you prefer to collaborate?

I work well async with ClickUp and Confluence documentation, regular status updates, and clear module ownership. Happy to lead features or join an existing team.

Case Study · Dance school marketing and monetization platform

MediaZilla

Dance-school vertical at mediazilla.com/dance — conversion marketing pages with a route-driven SEO, GEO, and AEO foundation built for search crawlers and AI answer engines.

Growth Platform2026Full-Stack Developer & Growth Engineer

1 / 4

About

MediaZilla for dance schools is a conversion-focused marketing site at mediazilla.com/dance. It explains how studios sell recital videos, control access, and deliver professional playback through solution, feature, pricing, FAQ, review, comparison, and blog pages built in React, TypeScript, and Vite. Discoverability was treated as product infrastructure, not a post-launch add-on. A central route registry drives automated generation of sitemap.xml, robots.txt, and llms.txt so crawler files stay in sync whenever pages change. robots.txt allows standard search bots and major AI crawlers (GPTBot, ChatGPT-User, Claude-Web, anthropic-ai, Google-Extended) and references the XML sitemap. The sitemap lists every indexable URL with lastmod, priority, and changefreq. Structured data is emitted as JSON-LD across Organization, WebSite, WebPage, Product, FAQPage, HowTo, and Review schemas, giving search engines and answer engines machine-readable product context, pricing intent, workflow steps, and FAQ answers without relying on page layout. llms.txt adds a concise AI-facing site map: product summary, primary sections with descriptions, and direct links to sitemap, robots, and contact, supporting GEO (generative engine optimization) and AEO (answer engine optimization). FAQ copy is written for direct answer extraction. The blog uses slug-based routing with reusable editorial blocks. Canonical URLs, Open Graph and Twitter metadata, and internal linking tie the vertical together for organic search and AI-assisted discovery.

Key features

Conversion-focused marketing pages
Solution, features, how-it-works, pricing, FAQ, reviews, and comparison pages tailored to dance-school buyers — structured to explain value and drive free-trial signups.
Dynamic editorial blog system
Slug-based routing with reusable content blocks, tier-based storytelling, sticky FAQ sidebar, and contextual reviews for long-tail dance-school topics.
Automated sitemap.xml & robots.txt
Route registry generates sitemap.xml with lastmod, priority, and changefreq per URL. robots.txt allows search bots and AI crawlers (GPTBot, Claude-Web, Google-Extended) and points to the sitemap.
JSON-LD structured data (schema)
Organization, WebSite, WebPage, Product, FAQPage, HowTo, and Review schemas — so Google, Bing, and answer engines can parse product value, workflows, and FAQ answers as structured data.
llms.txt for GEO & AEO
Machine-readable llms.txt summarizes the site purpose, lists primary sections with descriptions, and links sitemap, robots, and contact — optimized for AI assistants and generative search retrieval.
Technical SEO layer
Canonical URLs, Open Graph and Twitter cards, internal linking between solution/feature/pricing pages, and FAQ content written for featured snippets and AI answer extraction.

Tech stack

React
TypeScript
Vite
Tailwind CSS
Framer Motion
TanStack Router
Schema (JSON-LD)
SEO / GEO / AEO

Conversion-focused marketing pages

Dynamic editorial blog system

Automated sitemap.xml & robots.txt

JSON-LD structured data (schema)

llms.txt for GEO & AEO

Technical SEO layer