Services & Expertise

End-to-end web application development — from database design to pixel-perfect frontends. I build fast, scalable, production-ready applications that handle real traffic and real users from day one.

Building a web application is more than just writing code. It's about understanding your business, designing the right architecture, and delivering something that actually works under pressure. I've shipped full-stack applications across healthcare, finance, music, and AI — each with its own set of challenges around data integrity, real-time updates, and user experience. Whether you need a customer-facing platform, an internal dashboard, or a complex multi-tenant system, I handle everything from the API layer and database schema all the way through to responsive UI, authentication, and deployment. The goal is always the same: software that's fast to build, easy to maintain, and ready to grow with your business.

Modern, performant, and accessible user interfaces built with React and Next.js. I focus on smooth interactions, clean component architecture, and the kind of polish that makes users actually enjoy using your product.

I've spent years deep in the React ecosystem — from class components to hooks to server components — and I understand what makes a frontend codebase sustainable long-term. My approach starts with component architecture that makes sense: reusable where it matters, simple where it doesn't. I use TypeScript everywhere because catching bugs at build time is always cheaper than catching them in production. Animation and micro-interactions aren't afterthoughts for me; they're part of how a product communicates with its users. Whether it's building a complex form wizard with real-time validation, a data-heavy dashboard with virtualized lists and charts, or a marketing site that needs to load in under a second, I bring the same attention to performance, accessibility, and code quality. I've led frontend teams, established design systems, and built UI component libraries that let teams ship faster without sacrificing consistency.

Robust backend systems built with Node.js and Go. I design APIs that are fast, well-documented, and built to handle scale — with proper error handling, authentication, and database optimization from the start.

The backend is where your business logic lives, and getting it right matters more than most people realize. I build backend services primarily with Node.js (Express, Fastify) and Go (Fiber, Gin) — choosing the right tool based on what your project actually needs. Node.js is my go-to for rapid development, real-time features, and projects where the JavaScript ecosystem gives us a head start. Go comes in when raw performance, concurrency, and minimal resource usage are non-negotiable. In both cases, I follow the same principles: clean separation of concerns, proper input validation at every boundary, structured logging, and database queries that don't fall apart at scale. I've built REST APIs, GraphQL endpoints, WebSocket servers, background job processors, and microservice architectures. I handle the hard parts too — rate limiting, caching strategies with Redis, database migrations, and zero-downtime deployments. Your backend should be boring in the best way: reliable, predictable, and fast.

Custom Chrome extensions that solve real workflow problems. From content scripts and popup UIs to background workers and cross-tab communication — I build extensions that integrate seamlessly into the browser.

Chrome extensions occupy a unique space in software development. They live inside the browser, interact with web pages, and have their own lifecycle and security model. I build extensions that range from simple productivity boosters — quick actions, page enhancers, form auto-fillers — to complex tools with background service workers, content script injection, cross-origin messaging, and persistent storage. The Manifest V3 transition changed how extensions work under the hood, and I stay current with the latest APIs and best practices. I handle the tricky parts: communicating between content scripts and background workers, managing extension state across tabs, dealing with Chrome's permission model, and publishing to the Chrome Web Store with proper review compliance. If you have a repetitive browser-based workflow, there's probably an extension that can cut it in half. I can build it.

Well-crafted, open-source-ready NPM packages with proper TypeScript types, tree-shaking support, and comprehensive documentation. I build libraries that other developers actually want to use.

Writing a package that works on your machine is easy. Writing one that works reliably across thousands of different projects, bundlers, and Node.js versions — that's where the craft comes in. I build NPM packages with a focus on developer experience from the start: full TypeScript support with accurate type definitions, proper ESM and CommonJS dual publishing, tree-shaking compatibility so users only ship what they actually use, and documentation that answers questions before they're asked. I set up automated testing pipelines, semantic versioning with conventional commits, and changelogs that actually tell you what changed. Whether you need a utility library, a React component package, a CLI tool, or a framework plugin, I build it with the same rigor you'd expect from packages with millions of weekly downloads. Because even if your package starts small, good foundations mean it can grow without painful rewrites.

From idea to revenue — I build SaaS products with multi-tenancy, subscription billing, user management, and the kind of infrastructure that lets you focus on growing your business instead of fighting fires.

I've been building SaaS products from the ground up, and I understand the patterns that separate a prototype from a product people actually pay for. Multi-tenancy isn't just about adding an org_id column — it's about data isolation, permission boundaries, and making sure one tenant's traffic spike doesn't ruin the experience for everyone else. I handle the full SaaS stack: user authentication and team management, role-based access control, subscription billing integration with Stripe or LemonSqueezy, usage tracking and metering, onboarding flows that actually convert, and admin panels that give you visibility into what's happening. On the technical side, I set up proper database schemas for multi-tenant data, implement webhook handlers for payment events, build email notification systems, and deploy with infrastructure that scales horizontally. I've seen what works and what breaks at each stage — from the first 10 users to thousands — and I build with that experience baked in.

Computer vision applications for real-world safety and security — from CCTV-based theft detection to retail loss prevention. I build AI systems that watch, analyze, and alert in real time.

Computer vision has moved past the research lab and into real-world deployments, and I build the systems that make it practical. My focus is on camera-based AI applications — the kind that run in retail stores, warehouses, and commercial spaces to detect theft, monitor suspicious behavior, and prevent losses before they happen. The technical challenge isn't just running a model; it's building the entire pipeline. That means video stream ingestion from IP cameras and CCTV systems, frame extraction and preprocessing, running object detection and pose estimation models efficiently (often on edge devices with limited compute), tracking individuals across multiple camera feeds, and classifying behaviors like concealment, loitering, or unauthorized access. I work with models like YOLO, MediaPipe, and OpenPose for detection and tracking, and I build the alerting infrastructure around them — real-time notifications to security teams, event logging with video clips, and dashboards that surface actionable insights instead of drowning you in false positives. The goal is always a system that's reliable enough to trust in production: low latency, low false-positive rates, and easy for non-technical staff to monitor.

Bringing AI capabilities into your existing products — from OpenAI and Claude API integrations to running local models with Ollama and LangChain. I make AI practical, not just impressive.

The AI landscape moves fast, and most teams don't need to train their own models — they need someone who can integrate the right models into their existing workflows and products. That's where I come in. I work across the full spectrum: cloud-based API integrations with OpenAI, Anthropic Claude, Google Gemini, and other providers; local model deployment with Ollama, vLLM, and llama.cpp for teams that need data privacy or offline capability; and custom pipelines built with LangChain and LlamaIndex for retrieval-augmented generation, document processing, and intelligent automation. I handle the engineering challenges that come with AI in production: prompt management and versioning, streaming responses for better UX, token usage optimization to keep costs manageable, fallback strategies when models are slow or unavailable, and evaluation frameworks to make sure your AI features actually improve over time. I've built AI-powered features for SaaS products — things like intelligent search, content generation, document summarization, and conversational interfaces — and I understand the difference between a cool demo and a feature that reliably works for thousands of users.

Custom bots that automate repetitive tasks, handle customer interactions, and integrate with your existing tools. I build bots that are reliable, maintainable, and actually save you time.

Bots are at their best when they quietly handle the tasks that would otherwise eat up your team's time. I build bots for a range of platforms and use cases — from Discord and Slack community bots that moderate content and answer questions, to workflow automation bots that move data between systems, trigger notifications, and handle approvals. The key to a good bot is reliability. It needs to handle edge cases gracefully, recover from API rate limits and network failures, and log enough information that you can debug issues without guessing. I build bots with proper error handling, retry logic, and monitoring — because a bot that silently fails is worse than no bot at all. On the technical side, I work with Node.js and Python for bot development, using libraries like discord.js, Slack Bolt, and custom webhook integrations. For more complex automation, I build multi-step workflows with conditional logic, data transformation, and integration with external APIs. Whether you need a simple notification bot or a complex automated pipeline, I design it to be maintainable and extensible as your needs evolve.

Reliable, scalable web scrapers that extract structured data from any website. I handle anti-bot measures, dynamic content, and large-scale data pipelines — so you get clean data, not headaches.

Web scraping sounds simple until you actually try to do it at scale. Pages load dynamically with JavaScript, sites rotate their HTML structure, rate limits kick in, and CAPTCHAs block your requests. I've dealt with all of it. I build scrapers that are robust enough to run unattended for months — not brittle scripts that break the moment a website updates its CSS classes. My approach depends on what the target site requires. For simple, static pages, I use lightweight HTTP clients with cheerio or BeautifulSoup for fast, low-overhead extraction. For JavaScript-heavy sites, I use Puppeteer or Playwright with proper browser automation — headless or headed, depending on how aggressive the anti-bot detection is. For large-scale operations, I design distributed scraping architectures with request queuing, proxy rotation, retry logic, and data deduplication. The data pipeline doesn't end at extraction. I build parsers that normalize messy HTML into clean, structured formats — JSON, CSV, or direct database inserts — with validation rules that catch data quality issues before they pollute your dataset. If you need ongoing data collection, I set up scheduled scraping with monitoring and alerting so you know immediately when something breaks.

Feature-rich Telegram bots with inline keyboards, payment processing, group management, and webhook-based architectures. I build Telegram bots that feel like native apps inside the chat.

Telegram's Bot API is one of the most powerful bot platforms available, and I build bots that take full advantage of it. From simple command-response bots to complex mini-apps with inline keyboards, payment processing, and group administration — I've built Telegram bots that serve as the primary interface for entire businesses. The Telegram platform offers features most people don't even know about: inline mode for cross-chat functionality, webhook-based real-time updates, built-in payment processing with multiple providers, file handling up to 2GB, and the newer Mini Apps framework that lets you embed full web applications inside Telegram chats. I use all of these when the use case calls for it. On the architecture side, I build Telegram bots with proper webhook handling (not polling — it doesn't scale), session management for multi-step conversations, database-backed state persistence, and queue-based processing for operations that take more than a few seconds. I handle user management, rate limiting, and abuse prevention — because any public-facing bot will eventually face spam. Whether you need a customer service bot, a notification system, a payment processing bot, or a community management tool, I build it to be responsive, reliable, and easy to extend as your requirements grow.