Now taking on new projects
I turn business problems into production software.
Built for founders who need it in production.
Ship AI features, automate backend workflows, and launch production-grade systems — without the back-and-forth. 3 live SaaS platforms. 1 enterprise deployment serving 200+ users.
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Continue scrolling to see projects, services, and contact informationThree focused service paths. Each one leads to a shipped, production-ready system — not a handoff document.
Launch your AI-powered SaaS MVP in 6–8 weeks with scalable architecture, secure auth, Stripe billing, and production-ready deployment.
Replace manual ops with AI-powered systems — ticket routing, document processing, data pipelines, and background workflows that run without human intervention.
Scalable Node.js backends, secure APIs, payments, and performance optimization — built for real traffic, not just development.
Production systems. Real users. All live.
Full-stack support platform that eliminates manual ticket triage. AI automatically summarizes tickets, suggests priority, routes to the right team member by skill, and finds similar past tickets via vector search — so nothing falls through the cracks.
Production enterprise system built for and deployed at a real educational institute. Currently serving 200+ students and 40 teachers — with 1,000+ additional students pending migration. Covers admissions, attendance, finance (dual-entry accounting with 5 standard reports), examinations, fees, salaries, and role-based access control.
Upload a resume, get instant AI-powered feedback with ATS scoring, section-by-section improvement suggestions, and job description matching. Includes credit-based billing via Stripe, PDF export, and a full analysis history dashboard.
The fastest way to scaffold production-ready Node.js backends. Zero configuration, TypeScript ready, multiple databases (MongoDB, MySQL, PostgreSQL), multiple frameworks (Express, Fastify). From zero to production-ready REST API in under 30 seconds.
Plug-and-play chatbot engine for any Node.js application. Handles prompt management, conversation memory, tool calling, streaming responses, and session lifecycle out of the box — so you build features, not infrastructure.
A focused set of tools I use to build robust, scalable backend systems and AI-powered applications.
Explore a collection of my most impactful backend projects, showcasing expertise in AI integration, cloud deployment, and scalable architecture across AWS, Oracle Cloud, and modern containerized environments.
3 live SaaS platforms. 1 enterprise system serving 200+ users. Production-grade AI, backend, and automation — shipped, not demoed.
Founders and product teams hire me to ship AI-powered SaaS products, production backend systems, and automation workflows — end-to-end, not in pieces.
I work across the full stack — Next.js on the frontend, Node.js and Laravel on the backend, PostgreSQL, MongoDB, and MySQL for data. Every project I ship has real auth, real structure, and real deployment behind it. Not a prototype handed off with a README.
I integrate LLMs via LangChain and OpenAI to build features that actually work in production — resume analyzers, ticket routing systems, semantic search via Qdrant, and AI agents with real conversation memory. You can see two of them live at resumind.talhabilal.dev and tickmate.talhabilal.dev.
On the automation side, I build event-driven pipelines with n8n and Inngest that eliminate manual steps, run reliably in the background, and never block the main request flow.
I built create-node-spark, an open-source CLI that scaffolds production-ready Node.js backends in under 30 seconds — TypeScript-ready, multi-database, multi-framework, zero configuration required.
If you need AI features added to an existing product, a backend built to handle real scale, or manual workflows automated — I bring the architecture thinking and the execution discipline to ship it properly.
Open to: Freelance projects · Long-term contracts · Full-time roles · Technical consulting
Resume analyzers, ticket routing systems, and semantic search — AI features that solve real product problems, not demos.
APIs and backend systems built to handle real traffic, real auth, and real scale — not just local development.
End-to-end SaaS products with auth, payments, roles, and dashboards — shipped to production as complete systems.
Schema design, indexing, and query optimization across PostgreSQL, MongoDB, and MySQL — built for the scale you need next.
Automation pipelines with n8n and Inngest that eliminate manual bottlenecks and run reliably in the background.
CI/CD pipelines, Docker containerization, and cloud deployment — so your product ships fast and stays up.
Everything you need to know about how I build scalable backend systems, AI applications, and robust full-stack solutions.
TickMate is an AI-powered support ticket management platform that transforms how teams handle support requests. It automatically analyzes incoming tickets using AI to generate summaries, suggest priority levels, identify required skills, and find related resolved tickets through vector similarity search. This eliminates manual triage bottlenecks and helps agents resolve tickets faster with contextual information.
TickMate is built with a modern full-stack architecture: Next.js frontend with TypeScript, Express backend API, PostgreSQL with Drizzle ORM, OpenAI for AI analysis, LangChain for structured outputs, Qdrant for vector similarity search, and Inngest for reliable background jobs. The system uses HttpOnly JWT cookies for security and includes comprehensive audit logging.
When a ticket is created, TickMate automatically sends it to OpenAI's GPT-4.1-mini model via LangChain. The AI generates a structured output including a concise summary, suggested priority level, required skills for resolution, and helpful notes for the assignee. This analysis happens asynchronously through Inngest, so the API remains fast regardless of AI processing time.
Three core service paths: AI-powered SaaS MVP development, workflow automation systems, and backend API architecture. If you need a product built end-to-end, an AI feature added to an existing system, or manual processes automated — those are the three things I ship. You can see the full service breakdown at talhabilal.dev/services.
On the frontend and full-stack side: Next.js and TypeScript. Backend: Node.js, Express, and Laravel. Databases: PostgreSQL, MongoDB, and MySQL. For AI: OpenAI, LangChain, and Qdrant for vector search. For automation: n8n and Inngest. Every technology listed here has a shipped, live project behind it.
Yes, I integrate advanced artificial intelligence into web applications to enhance functionality. Whether it's creating AI-driven ticket analysis systems like TickMate, intelligent document processors, or automating complex workflows with LLMs, I have the expertise to make it happen.
I am a full-stack developer adept at building both robust backend systems and modern frontend interfaces. While my focus is often on backend architecture and AI integration, I provide comprehensive solutions that ensure a seamless user experience from end to end, as demonstrated in TickMate's complete platform.
Absolutely. I have extensive experience with vector databases like Qdrant for semantic search applications. In TickMate, I implemented vector similarity search to find related resolved tickets, helping agents leverage institutional knowledge. I work with OpenAI embeddings and can build sophisticated search and recommendation systems.
I am available for both freelance projects and long-term remote collaborations. I thrive in distributed setups and have a proven track record of delivering high-quality web solutions independently or as part of a distributed team.
You can reach out through my contact form, via email at contact@talhabilal.dev, or connect with me on LinkedIn. I'll respond promptly — we can discuss your project goals, technical scope, and what the right service path looks like for your situation.
In-depth technical articles, tutorials, and insights on modern web development and AI integration
Learn how to set up Nginx on Ubuntu, secure your Node.js apps with HTTPS using Certbot, and configure your server for production-ready deployments.
Pick the path that matches your project. All three lead to the same place — a shipped, production-ready system.
Best for SaaS builds, AI feature development, and backend systems where you want milestone-based delivery and a clear paper trail.
View ProfileBest for a specific AI integration, automation workflow, or backend feature you need shipped fast with a fixed scope.
Not sure where to start? Tell me what you need. I'll tell you exactly what I'd build, how long it takes, and what it costs — no back-and-forth forms.
All three paths lead to the same thing — a shipped system and a founder who can move forward.
If you have a SaaS to ship, an AI feature to add, or a workflow to automate — describe it below. I'll respond within 24 hours with exactly how I'd build it.
3 live SaaS platforms. 1 enterprise system serving 200+ users. Tell me what you need built — I'll tell you how I'd do it.
Open for New Projects
Currently accepting freelance & full-time roles
Full-Stack & AI Systems
Node.js • Laravel • Next.js • LangChain • OpenAI
Describe what you need. I respond within 24 hours with how I'd build it.
