Next.js frontends · Node.js backends · GitHub automation
The stack I reach for to ship fast, maintainable, production-ready apps.
Portfolio
Each entry covers the problem, approach, and outcome. Open a card for the full case study.
Hi, I'm Wahb — a self-taught full-stack developer who started coding just over a year ago and hasn't stopped shipping since. I build practical tools: web apps, backend services, and AI-powered systems. Most recently, I placed 3rd out of 775 participants at Hack for Humanity 2026 with EcoLens, an AI waste classifier I built solo. I care about making things that actually work — fast, reliable, and grounded in real-world needs.
Learned the basics of how websites are built and styled.
Started building small interactive projects and learning how logic and code work together.
Built complete web applications with modern tools and real features like dashboards and authentication.
Launched multiple real projects and ran them on my own Linux servers.
Deepened focus on performance, Core Web Vitals, and production-grade code quality.
🏆 Placed 3rd at Hack for Humanity 2026 — built EcoLens solo, an AI-powered waste classifier with gamified impact tracking, competing against 775 participants internationally.
Contributing to open source, strengthening DSA fundamentals, and deploying lightweight AI models into real products.
Deeper distributed systems knowledge, Kafka, and scaling production infrastructure.
I'm Wahb — a full-stack developer who turns rough ideas into production-ready products. Tell me what you're building.
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Working with me
Everything clients and recruiters typically want to know — answered upfront.
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Full-Stack Engineer & ML Integrator
Built and shipped an AI-powered waste classification app solo in one month — placed 3rd internationally at Hack for Humanity 2026 out of 775 participants. EcoLens turns a photo of any waste item into an AI label, estimated CO₂/water/energy impact, and gamified points — bridging the gap between environmental awareness and measurable daily action.
March 2026
Most people want to recycle responsibly but face two blockers: they don't know what material something is, and they have no sense of whether their effort matters at scale. Existing recycling apps either give dry information with no feedback loop, or require manual input. EcoLens was built to solve both: real-time AI classification plus cumulative impact that compounds over time.
Fully serverless within Next.js — no separate backend process. Client sends a base64 image to POST /api/predict. The route proxies to the HuggingFace endpoint, receives labels + confidence scores, maps the top label to one of six categories (plastic, paper, glass, metal, organic, other), computes points and impact using estimated weight ranges per category, writes the scan to MongoDB, updates the user's cumulative stats and achievement state, then returns the enriched result to the client in a single response. Low-confidence results and 'unknown' labels are rejected before the write step — keeping impact data honest. Auth is handled via /api/user: OTP is generated and emailed on registration, verified on the next call, and a JWT is issued into an HTTP-only cookie with rotation on every subsequent authenticated request.
Placed 3rd internationally at Hack for Humanity 2026 — solo build, 775 participants. Judges scored the project on impact, innovation, design, and presentation. The predict → persist → notify pipeline held up under demo conditions, auth edge cases were handled, and the leaderboard and achievements gave the project a live, working feel rather than a static prototype.
Want to see the full pipeline in action or discuss how to integrate ML into a production web app? Check the live demo or reach out directly.
Full-Stack Engineer
Built a single-platform collaboration tool that replaced fragmented email/chat processes and automated progress reporting — improving transparency and reducing manual status updates for developers and clients.
February 2026
Clients and developers relied on email, chat and spreadsheets to track work. This caused missed updates, unclear ownership, and frequent status-check requests.
Single Next.js app serving client & dev experiences with serverless API routes. GitHub webhooks push events to a queue; worker processes map events to project activities and update project state in MongoDB. This keeps user-facing APIs fast and offloads heavy processing to background workers.
Clients reported clearer visibility and fewer status-check meetings; developers stopped doing manual update emails. The platform created a single source of truth for all project activity.
If you want to see the platform in action or discuss how I architect similar collaboration tools, check the live demo or message me.