Mohammad
Jubair.
I architect high-performance software that solves real business problems - engineered with precision, built to scale, and delivered with relentless rigor. From ambitious startups to established enterprises, I turn complex challenges into robust, revenue-driving solutions.
Let's create something extraordinary together!
Where engineering meets business growth.
I'm Mohammad Jubair, a software engineer based in Bangladesh, turning technical innovation into business growth for over 5 years.
I specialize in building scalable digital products that drive revenue, deepen user engagement, and accelerate company goals. My approach pairs modern full-stack engineering with strategic thinking, shipping web and mobile applications that don't just work beautifully, but deliver measurable business results. From optimizing conversion funnels to architecting enterprise-grade systems, I build what actually moves the needle. Let's collaborate and build something extraordinary!
Six ways I engineer
your growth.
I don't sell packages — I deliver leverage. Every engagement is built to strengthen your business: faster products, leaner systems, and technology that compounds revenue instead of just costing money.
Engineered for certainty,
not chance.
Every project moves through the same disciplined cycle — discovery, architecture, engineering, hardening, launch, and review — feeding straight back into the next iteration, so nothing ships by accident and nothing stalls after launch.
Requirements & Discovery
Every build starts with hard questions, not assumptions — mapping goals, users, and technical constraints before a single line of code exists.
Professional Journey.
Four roles that shaped how I think about software, teams, and outcomes. From writing my first production line to leading engineering strategy.
At CodeFusionAI, I craft robust, high-performance software solutions that merge creativity with technology to solve real-world challenges.
- Architect and build scalable full-stack applications with clean, efficient code
- Collaborate with dynamic teams, driving innovation through knowledge sharing
- Enhance existing codebases, improving performance and maintainability
- Leverage AI and prompt engineering for intelligent feature integration
- Contribute to UI/UX improvements for seamless user experiences
- Work within Agile methodologies delivering iterative, high-value outcomes
- Design and deploy cloud solutions ensuring scalability and security
- Set up CI/CD pipelines for smooth automated development workflows
Curiosity as curriculum.
A formal foundation in computer science, supplemented by years of building things that break, break again, and eventually ship.
- Pursuing advanced studies in Computer Science and Engineering
- Focus areas: Software Engineering, AI/ML, and System Design
- Strong foundation in algorithms, data structures, and distributed systems
- Developing expertise in modern web technologies and frameworks
- Applying real-world engineering experience to coursework and projects
- Balancing full-time software engineering work with academic study
- Exploring cloud infrastructure, system architecture, and scalable design
- Contributing to peer learning through mentorship and knowledge sharing
Brands I've helped scale.
Long-term partnerships, not one-off gigs — engineering and strategy work behind teams I've helped grow, ship faster, and turn product decisions into measurable ROI.
Products I've built, end to end.
From SaaS platforms I own and operate to client products shipped into production — real systems, real users, built and maintained end to end.
Klozio
2026AI-powered client hunting system — searches Google Maps, Instagram, YouTube, and LinkedIn, then streams AI-enriched, verified leads live into one unified dashboard.
Clozey
2026AI-powered proposal outreach and CRM system — writes fully branded proposals in under 90 seconds, tracks every open and view live, keeps every client and deal in one pipeline, and closes with built-in e-signatures.
What it's like to build with me.
A snapshot of the kind of feedback these projects and collaborations generate — from SaaS founders to retail owners to the teams I've led directly.
We needed a lead engine that actually verified what it found, not just scraped it. What we got streams results live, scores them, and even refunds credits automatically when it can't find a match — the kind of detail you only get from someone who's run SaaS billing himself.
Our proposal turnaround went from a full day of writing to under two minutes, fully AI-drafted and on-brand. The live tracking on top of that — knowing the moment a client opens the pricing section — changed how our whole sales team follows up.
He shipped our listings platform end to end — search, filters, detail pages — and it never felt like a template. Every screen was built around how people actually shop for a home, not just what was fastest to ship.
Our old inventory process was a spreadsheet and a prayer. The POS system he built keeps stock accurate automatically and flags low inventory before it becomes a problem — no more panicked restocking at closing time.
We needed a lead engine that actually verified what it found, not just scraped it. What we got streams results live, scores them, and even refunds credits automatically when it can't find a match — the kind of detail you only get from someone who's run SaaS billing himself.
Our proposal turnaround went from a full day of writing to under two minutes, fully AI-drafted and on-brand. The live tracking on top of that — knowing the moment a client opens the pricing section — changed how our whole sales team follows up.
He shipped our listings platform end to end — search, filters, detail pages — and it never felt like a template. Every screen was built around how people actually shop for a home, not just what was fastest to ship.
Our old inventory process was a spreadsheet and a prayer. The POS system he built keeps stock accurate automatically and flags low inventory before it becomes a problem — no more panicked restocking at closing time.
Deploys used to be a nervous event. Now they're routine — monitoring and alerting were part of the plan from day one, not bolted on after something broke in production.
He didn't just advise from the sidelines — he led the team directly, upgraded how we worked, and made sure the skills stuck around long after he'd moved on to the next thing.
What impressed me most was the architecture conversation before any code got written — schema, multi-tenancy, API contracts, all decided upfront. Nothing we've had to rebuild six months later.
We brought him in to rebuild our web presence and the backend behind it. He communicated like an engineer but thought like a founder — exactly what we needed.
Deploys used to be a nervous event. Now they're routine — monitoring and alerting were part of the plan from day one, not bolted on after something broke in production.
He didn't just advise from the sidelines — he led the team directly, upgraded how we worked, and made sure the skills stuck around long after he'd moved on to the next thing.
What impressed me most was the architecture conversation before any code got written — schema, multi-tenancy, API contracts, all decided upfront. Nothing we've had to rebuild six months later.
We brought him in to rebuild our web presence and the backend behind it. He communicated like an engineer but thought like a founder — exactly what we needed.