Available for remote product engineering roles

I turn ideas into production software.

Full-stack engineer building AI-powered products from idea to deployment. I enjoy solving ambiguous problems, shipping quickly, and improving products through real user feedback.

Selected Projects

Work that made it past the idea stage.

Projects are the center of this site because they show the shape of the work: define the problem, build the product, ship it, and learn from the result.

LiveReconalyst

AI-powered company intelligence platform that transforms websites into structured business reports.

Problem

Understanding a company requires jumping across websites, blogs, funding announcements, and social media.

Solution

Built an AI pipeline that crawls websites, performs web research, and generates structured company reports.

Outcome

A deployed product that turns scattered public information into a consistent, readable company brief.

Contributions

  • Firecrawl website crawling
  • Gemini structured generation
  • Research pipeline
  • Production deployment

Technology

Next.jsTypeScriptNode.jsPostgreSQLVertex AI
Play StoreRepTran

Fitness tracking app focused on helping users build consistent workout habits.

Problem

Workout apps focus on logging instead of helping users stay consistent.

Solution

Built a habit-first fitness tracker with adaptive plans, streaks, analytics, and cloud sync.

Outcome

A published mobile app with a complete product loop for planning, logging, and returning to training.

Contributions

  • Flutter application
  • Node.js backend
  • AWS deployment
  • Published on Google Play

Technology

FlutterNode.jsPostgreSQLAWS
LiveAttnsn

AI news intelligence platform that distills hundreds of updates into a five-minute daily briefing for builders.

Problem

Keeping up with AI requires checking company blogs, GitHub, Hacker News, X, and newsletters, making it difficult to separate signal from noise.

Solution

Built a multi-source pipeline that collects updates, clusters related stories into events, ranks them by importance, and generates concise AI-powered summaries.

Outcome

A deployed product that helps builders stay informed with one curated daily briefing instead of endless scrolling.

Contributions

  • Multi-source ingestion
  • Event clustering
  • AI summarization
  • Editorial ranking pipeline

Technology

Next.jsTypeScriptNode.jsVertex AIFirecrawl

Experience

A clean record of building and shipping.

The through line is ownership: product surfaces, APIs, infrastructure, deployment, and iteration after launch.

Dec 2023 - Jun 2026

Remote

Full Stack Engineer

RevoltronX Technologies Pvt. Ltd.

Built and shipped production web applications across the frontend, backend, cloud infrastructure, and deployment.

  • Developed production applications using React, Next.js, Node.js, MongoDB, and AWS.
  • Built end-to-end features from design through deployment.
  • Worked with EC2, Lambda, Amplify, Step Functions, Nginx, and PM2.
  • Delivered production features for Technokrax and Arvyax.

Jul 2025 - Present

Remote

Founder & Full Stack Engineer

RepTran

Designed, built, launched, and continue to maintain a production fitness application.

  • Owned product strategy, UI/UX, backend architecture, and cloud infrastructure.
  • Built the mobile application using Flutter and backend services with Node.js.
  • Published the application on Google Play and continue iterating from user feedback.

Notes

Optional reading for the curious.

These notes are not the main act. They are small windows into how I think about product shape, positioning, and where useful software can be simpler than the category around it.

Product Notes

Context.dev

Thoughts after studying Context.dev.

  • The value is not scraping itself but combining multiple developer data sources into one API.
  • Developer experience is a major differentiator.
  • Firecrawl remains the biggest competitive pressure because of its ecosystem.
  • I would explore going deeper into a specific workflow instead of competing broadly.

Product Notes

Refyn

Designing an AI writing assistant that helps creators produce authentic LinkedIn posts from real ideas instead of generic AI output.

  • Good writing starts with capturing experiences, not generating paragraphs.
  • The product should guide thinking before it generates content.
  • Authenticity comes from preserving the user's voice rather than replacing it.
  • The best AI writing tools feel like collaborators, not content factories.

Contact

Abdul Almas

Let's build something.

I'm looking for remote full-stack engineering roles where I can build thoughtful products, solve challenging engineering problems, and ship quickly with ambitious teams.