Full stack engineer with 14+ years across frontend, backend, AI, and databases. From a rough idea to a scalable, revenue ready platform, I turn slow manual operations into smooth automated systems.
Most problems do not fit neatly into one language or framework. I work across the whole stack, so the right tool gets chosen for the job instead of forcing the job into a familiar tool.
React, Next.js, Vue, TypeScript, Tailwind CSS, responsive and accessible UI.
Node.js, Laravel, Symfony, PHP, Python, REST and GraphQL APIs, queues, caching.
LLMs, Retrieval Augmented Generation, OpenAI and Anthropic APIs, LangChain, embeddings, vector search, AI agents, prompt engineering.
PostgreSQL, MySQL, MongoDB, Redis, and vector databases like Pinecone and pgvector.
AWS, Docker, CI and CD pipelines, real-time WebSockets, scalable cloud architecture.
No forcing a problem into a familiar framework. The stack follows the goal.
Whether you are launching something new or fixing something that is buckling under growth, here is where I help most.
From idea to a revenue ready product, built for real users and real constraints.
Automate the repetitive work that eats your team's day. Lead follow up, document handling, reporting, and more.
Custom internal platforms that fit how your business actually runs, not off the shelf software you have to bend around.
Connect your tools so data flows automatically instead of being copied by hand between systems.
Slow or breaking under load? I redesign backends with queues, caching, and cloud infrastructure that hold up.
Fast, search friendly sites engineered to rank and convert, not just look good.
AI is only useful when it solves a real problem and survives contact with production. I build AI features on top of large language models, connect them to your own data with Retrieval Augmented Generation, and wrap them in reliable automation pipelines. The result is software that reads documents, answers in plain English, and takes action, all grounded in your business context.
I do not build software for its own sake. I build it to remove friction, capture lost revenue, and let teams do more with less. Here is a snapshot across four industries.
Care and education providers across foster care, child services, childminding, early years, and adult care had to train staff and prove competency, but training delivery, allocation, and assessment auditing were fragmented across organizations and individuals.
A web based training and assessment platform where companies and individual learners register. Organizations allocate training, individuals self enroll, and assessments are audited by permission level, keeping children and vulnerable groups safer through better educated carers.
Organizations onboard and train learners faster with audit ready compliance built in, and the platform earns recurring revenue through company level subscriptions.
Coaches and team managers planned matches with scattered notes and gut feel. They lacked structured data on their own players, past matches, and upcoming opponents, and had no consistent way to track player development and wellbeing.
A pre play research and analysis platform with player level, match level, and opponent versus team stats for planning game play, plus a connected module for player assessments, mental health training, evolution tracking, and structured feedback.
Coaches make data driven decisions before every session, players improve measurably, and the data backed approach helps retain clients and win new team contracts.
A translation provider took every booking by phone and assigned translators by hand. The process was slow, hard to track, and impossible to scale, which capped how much work they could take on.
A platform where clients and end users book translation online. The backend team assigns a translator who is notified, tracks the deadline, and delivers through the system. Both parties are verified before a booking begins, which builds trust for sensitive work.
Manual phone coordination became a tracked digital workflow, and the verified, reliable process won recurring subscriptions from government offices that need translation frequently.
An online store was getting far fewer orders than its traffic deserved. A clunky ordering flow and generic, one size fits all product listings meant shoppers could not find what fit them, so they browsed and left without buying.
I rebuilt the ordering flow and added user specific, relevant product recommendations and semantic search, so each shopper sees items they actually want, finished with a faster, streamlined checkout.
Shoppers found relevant items quickly, more browsing turned into orders, and average order value grew as personalized recommendations surfaced complementary products.
Outcomes are grounded in real engagements. Trend visuals are directional, and exact figures are shared on request under NDA.
Most products do not fail because of bad code. They fail because business intent, user experience, and technical decisions were never aligned.
That is the gap most developers miss, and that is where I work best. If you are building something complex and want a second brain before things get expensive, let's talk.
I learn how your business makes money and where the friction is.
I design the system and pick the stack that fits your goals.
I ship in working increments, not one big risky launch.
Where it adds real value, I layer in automation and AI.
I harden performance so growth does not break things.
I write down the lessons that do not fit into tutorials. Real trade-offs, real decisions, and the thinking behind them. Pick a pillar to explore.
Building practical AI applications, AI agents, automation workflows, and intelligent systems that solve real business problems. Sharing lessons, experiments, successes, and failures from working with modern AI technologies.
Everything behind the scenes of modern applications—APIs, databases, authentication, performance optimization, queues, and the engineering decisions required to build scalable backend systems.
Insights from building software products, working with clients, scaling development teams, improving processes, and navigating the business side of technology.

Every night, cafes and grocers throw away food they made too much of, while also running out of best sellers. This guide shows how simple demand forecasting uses your own sales history to stock closer to real demand, with step by step code.

Every missed call can be a lost customer, and voicemail rarely gets returned. This guide explains how an AI voice agent answers every call, books appointments, and hands urgent calls to a human, plus how your developers can build one step by step.

Duplicate charges are one of the most damaging bugs in any checkout, and the code usually looks correct. This guide explains why duplicate payments happen and shows you, step by step with code, how to prevent duplicate payments on any stack.
Tell me what is slowing your business down. I will tell you honestly whether software or AI can fix it, and how I would build it.