I am a versatile Full Stack Developer with over 10 years of experience designing and delivering scalable web applications and AI-driven platforms. My expertise spans modern JavaScript and TypeScript frameworks such as Next.js and React.js, combined with backend proficiency in Python and Node.js. I have a proven track record of developing high-performance, user-centric solutions by leveraging cutting-edge technologies, agile methodologies, and AI-powered tooling to maximize business value.
Throughout my career, I have collaborated across teams to implement best practices, optimize development workflows, and drive innovation within complex systems. I am skilled in designing generative AI-powered applications and streaming-capable microservices that reduce latency and improve user experience. My experience includes serverless deployment architectures and advanced AI pipelines that enhance search accuracy and system scalability.
I have worked closely with enterprise clients in various sectors such as film, marketing, and e-commerce to tailor domain-specific AI features that drive customer satisfaction and adoption. I am adept at automating testing, quality assurance, and deployment pipelines to increase release frequency and ensure robust, maintainable codebases.
Mentoring junior engineers and collaborating with cross-functional teams using agile methodologies are key aspects of my professional approach. I continuously seek to apply modern web development practices, including server-side rendering and server actions, to optimize application performance.
My technical skill set includes JavaScript, TypeScript, React.js, Node.js, Python, FastAPI, and cloud technologies such as AWS Lambda and Kubernetes. I am passionate about leveraging AI and machine learning tools like LangChain, OpenAI API, Pinecone, and TensorFlow.js to build innovative solutions. I am committed to maintaining high code quality and applying design patterns to support scalable and efficient software development.
Designed and developed generative AI-powered applications for video, image, and text workflows using Next.js 14 and Tailwind CSS, achieving optimized global delivery through Vercel Edge Functions. Engineered streaming-capable microservices with Node.js, NestJS, and FastAPI to enable low-latency AI content generation, reducing response times by 40% across multiple geographic regions. Integrated real-time collaboration features leveraging WebSockets and tRPC, facilitating synchronized multi-user editing and improving team productivity by 30%. Implemented serverless deployment architectures using AWS Lambda and CloudFront, achieving cost-efficient auto-scaling aligned with variable traffic demands. Developed advanced Retrieval-Augmented Generation (RAG) pipelines with Pinecone and Weaviate, enhancing creative asset search accuracy by over 25%. Automated testing, quality assurance, and deployment pipelines using GitHub Actions, Playwright, and Docker, increasing release frequency by 50%. Collaborated closely with enterprise clients in film, marketing, and e-commerce sectors to tailor domain-specific AI features, driving customer satisfaction and adoption. Applied best coding practices and design patterns to maintain high code quality and system scalability in a fast-paced agile environment.
Developed intelligent customer support chatbots using LangChain, OpenAI, and Supabase to deliver RAG-based contextual responses, improving user issue resolution rates by 20%. Enhanced secure, high-availability RESTful APIs and payment systems using NestJS, PostgreSQL, and Prisma ORM, ensuring 99.99% uptime and transaction integrity. Implemented responsive user interfaces with Next.js 14 and Tailwind CSS, deployed on Vercel, resulting in a 35% faster page load and improved UX scores. Optimized deployment workflows through GitLab CI/CD pipelines, Jest testing suites, and automated security scans, reducing deployment errors by 40%. Integrated OpenTelemetry and Grafana dashboards for comprehensive API performance monitoring, enabling proactive identification and resolution of bottlenecks. Provided mentorship to junior engineers on scalable AI-assisted development practices and modern JavaScript frameworks, accelerating team onboarding. Collaborated with cross-functional teams using agile methodologies to rapidly deliver features aligned with customer needs and compliance standards.
Designed and implemented Remix and Tailwind CSS dashboards to facilitate fine-tuning and monitoring of transformer-based NLP models, improving model iteration speed by 30%. Developed high-performance backend services with FastAPI, tRPC, and PostgreSQL deployed on AWS ECS, achieving scalable infrastructure to support increasing user loads. Enhanced vector search APIs using Pinecone for multilingual semantic search, increasing search relevance by 22%. Initiated systematized evaluation pipelines using pytest, Docker, and GitHub Actions, improving test coverage and deployment reliability. Integrated streaming inference APIs enabling real-time NLP applications, reducing latency by 35%. Collaborated with open-source contributors to augment Hugging Face Hub features focused on enterprise needs, contributing to community-driven innovation. Applied modern web development practices including server-side rendering and server actions to optimize application performance.
Led the development and optimization of product listing pages using Next.js, Tailwind CSS, and React Query, supporting millions of daily users with a 35% improvement in page load times. Enhanced AI-driven recommendation engines utilizing TensorFlow.js and Supabase Edge Functions, increasing user engagement rates by 18%. Migrated legacy PHP modules to Node.js and NestJS microservices orchestrated with Kubernetes, improving system scalability and maintainability. Implemented Redis caching strategies and CDN edge caching, contributing to a 35% boost in site speed and reduced server load. Developed Remix-based admin dashboards integrated with Prisma ORM for efficient content and product management, reducing operational bottlenecks. Integrated Segment and Google BigQuery to build advanced analytics tracking pipelines, enabling data-driven decision making. Collaborated in agile teams to continuously deliver incremental improvements aligned with business goals and customer feedback. Applied design patterns and best coding practices to ensure robust, maintainable, and scalable codebases.
Developed internal network monitoring tools using Next.js and Electron, enabling cross-platform support and improving network issue detection times by 15%. Built chatbot proof-of-concepts with Botpress and Microsoft Bot Framework to explore AI-driven customer interaction capabilities. Expanded REST APIs in Express.js with OAuth 2.0 authentication, enhancing security and enabling secure third-party integrations. Automated server provisioning with Ansible and Docker, reducing deployment times by 40%. Created D3.js dashboards for real-time visualization of network performance metrics, aiding operational decision-making. Participated in agile sprint cycles collaborating with senior engineers to deliver automation-focused features on schedule. Gained foundational experience in full-stack development and cloud-native application deployment.
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