Python Developer

Led the development of a Freight Email Operation Platform, collaborating closely with customers to design and implement AI-powered automation workflows, with a primary focus on streamlining and automating email processing tasks for business operations. Developed an email classification module and intelligent agents utilizing Large Language Models (LLMs), delivering scalable and efficient email management solutions for enterprise clients. Architected cloud-based infrastructure on Azure to ensure scalability, reliability, and high performance, while meeting diverse customer requirements and business needs. Designed and developed mobile and web applications using Python, Next.js (TypeScript), TailwindCSS and FlutterFlow, providing consistent and seamless user experiences across multiple platforms. Designed and developed RESTful and GraphQL APIs using advanced technologies such as Python (Django), Kafka, Redis and serverless architecture, enabling secure, high-performance data exchange across mobile, web, and third-party applications. Built and optimized data pipelines using PostgreSQL, Snowflake, and Azure services, facilitating efficient data transfer and integration between client systems and middleware platforms. Collaborated with Azure DevOps and Security teams to strengthen platform security, implementing advanced authentication and authorization protocols to protect customer data and critical business operations. Developed a customizable workflow builder using the Inngest Workflow Kit, allowing customers to create tailored email automation workflows with support for HTTP triggers and other business-specific integrations. Integrated multiple CRM platforms, including Slack, HubSpot, Cargologik, and QuickBooks, to enhance operational efficiency and scalability through seamless workflow automation. Implemented a chatbot platform with multimodal capabilities—text, voice, and image—enabling customers to request quotes, track shipments, and interact with business services via multiple communication channels.

Developed smart contracts for a DeFi platform using Solidity on Ethereum, enabling secure lending, staking, and yield farming. Used machine learning to analyze user behavior and optimize rewards. Built APIs to connect blockchain services with finance systems. Used Chainlink for real-time market data and machine learning to spot and predict market issues. Worked on a Layer-2 blockchain to improve speed and reduce gas fees for an NFT marketplace. Developed AI recommendations to help users discover personalized NFTs. Built secure blockchain solutions for a consortium using Hyperledger Fabric. Added machine learning to detect fraud and assess risks. Integrated blockchain payments with real-estate platforms (e.g., Coinbase, BitPay), improving transaction security and using ML models to prevent fraud. Implemented secure crypto wallets and cold storage for a custody platform. Used machine learning to monitor transaction patterns and detect threats.

Developed scalable web and mobile applications for Tencent's WeChat ecosystem, enabling seamless integration of third-party services through Mini Programs and RESTful APIs. Developed the design of a mobile payments solution for WeChat Pay, focusing on improving transaction speed and security. Integrated cryptography and multi-factor authentication to enhance protection for over 10 million daily transactions. Optimized app performance by reducing load times by 30% through progressive web app (PWA) technology and enhanced mobile caching strategies. Built cross-platform mobile apps for Tencent's cloud gaming platform, enabling low-latency streaming for millions of users across both iOS and Android devices. Managed deployment and monitoring of web and mobile services on Tencent Cloud, implementing CI/CD pipelines, automated testing, and Kubernetes orchestration for scalable operations.