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Full-stack developer with 3+ years of hands-on experience building scalable web applications for freelance Braintrust clients and production environments. Expert in React, Next.js, NestJS, TypeScript, Node.js, MongoDB/MySQL, Docker deployments, REST/GraphQL APIs, and real-time WebSocket/Socket.IO features—led medical equipment trading platform from API design to NGINX/PM2 production rollout. Proven in monorepo architecture, ER modeling, CI/CD workflows, and mentoring developers on modern stacks. Seoul-based, delivering reliable full-stack solutions.

I love making tools to help people's lives be better. I set my job to seek what users don't like among our features and make them enjoy more through codes. To do this, I always try to learn new technologies applicable to our products.

Data Scientist & AI Engineer with a strong background in implementing high-impact AI solutions across diverse industries, including telecommunications, manufacturing, and smart city infrastructure. Proven track record in deploying agentic-based anomaly detection systems on Databricks/Spark and optimizing industrial processes through machine learning. Award-winning researcher (BMVC 2025 Oral, ETRI President's Award) dedicated to bridging the gap between advanced R&D and commercial value.

I am a Senior Frontend & Full Stack Engineer with 9+ years of experience specialized in complex, data-heavy applications for Robotics, Logistics, and Fintech. I have deep expertise in building scalable React Monorepos, handling complex state with TanStack Query/Redux, and visualizing real-time data via Canvas and Maps. I am a pragmatic engineer who balances code quality with delivery, capable of owning features from database design to the final pixel. My recent work focuses on high-performance architecture, specifically optimizing rendering performance for vehicle telemetry and architecting interactive warehouse management systems. While my primary focus is Frontend Architecture (React 19, TypeScript), I actively contribute to Backend design and implementation using Kotlin, Go, and PostgreSQL.

Systems Engineer with a quantitative finance background, specializing in workflow automation and multi-cloud infrastructure. Proven track record of scaling from Python-based process automations to integrated, platform-level solutions using Flask and N8N. Experienced in cloud API integration, cross-border infrastructure, and security compliance, with strong theoretical foundations in derivatives, risk management, and financial modeling.

My name is Farhan Khan, and I am a full-stack engineer passionate about building meaningful, user-focused technology. My journey into software development has been driven by deep curiosity and a strong commitment to continuous learning. I am particularly passionate about designing and building high-scale, production-ready backend systems that are reliable, efficient, and maintainable. For me, coding is not just about features, it’s about architecture, performance, and long-term scalability. Over the years, I have built multiple applications including developer-focused collaboration tools, cloud-based platforms, and AI-powered systems. I primarily work with Node.js, Golang, and Python on the backend, and React and TypeScript on the frontend. I focus heavily on clean architecture, optimized APIs, database performance, and scalable infrastructure design. I am constantly exploring distributed systems concepts, improving my system design skills, and challenging myself to build production-grade applications that can handle real-world scale. If you are open to it, I would truly appreciate the opportunity to connect and learn from your experience. Thank you for your time and consideration.

I am a seasoned Machine Learning professional with a rich blend of industry and academic expertise, proficient in applying cutting-edge Machine Learning and Deep Learning algorithms. I have successfully architected, developed, and deployed large scale Deep Learning models, algorithms, and services for diverse applications. My expertise spans Computer Vision, Deep Learning applications for Quantum Control, Object detection & classification, as well as proficiency in NLP and Data Science. My professional goal is to leverage my expertise as a full-stack Deep Learning Engineer and AI system architect to create innovative and scalable solutions that solve real-world problems and enhance customer experience.

Backend engineer with end-to-end experience in developing and operating B2B services. Managed a welfare point platform serving 100+ corporate clients and 10,000 users, handling both frontend and backend development as well as deployment. Experienced in collaborating with external partners (e.g., Shinhan Card) and resolving transaction-related issues. Fluent in business-level English and interested in bridging technology and global operations in SaaS environments.

Full-stack engineer with 4+ years building production SaaS products end-to-end. Strong in TypeScript (React/Next.js) and backend APIs (Node.js/NestJS, Python/FastAPI), with PostgreSQL and cloud/DevOps (Docker, Kubernetes, CI/CD). Focused on performance, reliability, and shipping high-quality user experiences.

Software Engineer with experience in Big Tech and front-office finance. Strong backend engineering background in Python and Java, with experience building high-scale and high-reliability services. Skilled in machine learning, mathematical optimization, and numerical methods, with a strong emphasis on designing robust, high-performance systems.