Stack Developer Engineer

Bin Pan

Senior Full Stack Engineer

**********@*****.*** 315-***-**** Miami, FL linkedin.com/in/panbin Profile

Accomplished Senior Full Stack Developer with 8+ years of expertise in building high performance applications across Domain Sepecific Chatbots, Fintech, dApps, Sass and so on. Skilled in React, Python, Node, LLM, and blockchain technologies like EVM and Solidity. Experienced in integrating LLMs into production systems, designing and implementing RAG pipelines, optimizing vector searches with Databricks, snowflakes and enhancing query performance. Skilled in leveraging LLM-based APIs and developing custom prompt engineering solutions for domain specific applications. Adept at creating responsive UIs, deploying CI/CD pipelines, and ensuring secure, efficient, and robust applications. Known for critical thinking, attention to detail, and delivering high-quality results in dynamic, fast-paced environments. Skills

Programming Languages

Python, JavaScript, TypeScript, Go, Java, SQL,

GraphQL

Frameworks & Libraries

React.js, React Native, Fast API, Flask, Django,

LangChain, Hugging Face, LIamaIndex, PineCone,

Databricks, Snowflake, Pytest, Kafka, Pyshark,

RabbitMQ, gRPC, Celery, Transformers, PyTorch,

Tensorflow, Keras, spaCy Go Ethereum, Gorm,

Material UI, Chakra UI

Database

SQL, PostgreSQL, MongoDB, Redis, Firebase

Containerization Tools

Docker, Kubernetes

Automation Tools

Ansible, Terraform

Technologies

LLM, RAG, Generative AI, MLOps, Blockchain,

Ethereum Virtual Machine, Smart Contract, Fintech, Sass, ChatBot

Version Control Tools

GIT, GitHub, GitLab, Bitbucket, SVN

Cloud Services

Amazon Web Services - EC2, S3, Lambda, Glue,

Athena, ELB, Elastic Beanstalk, Elastic File System, RDS, Route 53, CloudWatch, CloudFront, DynomoDB,

GCP Service - Compute Engine, Cloud Storage, Cloud Load Balancing, App Engine, Filestore, Cloud SQL / Cloud Spanner, Cloud DNS, Operations Suite, Cloud

CDN

Project Management

Jira, ServiceNow, Kanban

Professional Experience

Senior Full Stack Developer(LLM), Trace Machina 09/2022 – present

•Designed and implemented RAG systems that effectively combine medical data with large language models.

•Developed sophisticated retrieval strategies, implemented efficient embedding approaches, and integrated vector storage solutions using LangChain, Snowflake, Databricks, and Context-Aware Retrieval.

•Applied LangChain for prompt engineering and domain-specific chunking strategies to maximize RAG effectiveness.

•Integrated Snowflake for managing and querying large-scale structured and unstructured data, optimizing retrieval accuracy and relevance.

•Leveraged Databricks for efficient data processing pipelines, enabling seamless integration with retrieval systems.

•Implemented Sentence Transformers, Weights & Biases, and HumanLoop evaluation frameworks for continuous performance monitoring and refinement.

•Used Databricks and Snowflake for saving raw data, extracting metadata, and querying files, ensuring seamless integration with vector storage solutions like Pinecone.

•Implemented Redis, Databricks, and PyPDF2 to ensure that medical data is properly indexed, accessible, and optimized for retrieval.

•Integrated and actively managed Databricks jobs, ensuring efficient execution and exploring potential optimizations to enhance performance and resource utilization.

•Similarly, monitored and optimized Snowflake jobs and warehouses by analyzing query performance, running performance tests, and fine-tuning configurations for cost and efficiency.

•Employed techniques such as ANN, dimensionality reduction, and metadata filtering to optimize retrieval speed, ensuring low response latency and efficient caching.

•Developed automated testing to validate retrieval quality, response accuracy, response latency, and combined these for end-to-end testing using the pytest framework, GitHub Actions, and Jenkins.

•Ensured robust security by implementing IAM for data access, centralized key storage on AWS, and IP whitelisting for API key management.

•Deployed models in production, integrating them into backend APIs built with FastAPI.

•Gained hands-on experience in implementing MLOps workflows to maintain AI pipelines using Databricks for model training, evaluation, and deployment.

•Collaborated with cross-functional teams on model and performance optimization. Senior Full Stack Engineer, Zoomcare 08/2021 – 09/2022

•Developed backend services for an NFT marketplace using Python and Flask, adhering to

•SDLC principles to ensure clean, maintainable, and scalable code. Utilized SQLAlchemy for

•ORM and database management, achieving high-performance query execution with

•PostgreSQL.

•Designed and implemented secure, scalable RESTful APIs with Flask-RESTful and FlaskSQLAlchemy, following Google API Design Principles.

•Leveraged AWS CI/CD pipeline with CodePipeline and CodeBuild to automate deployment processes, ensuring seamless delivery of application updates.

•Integrated AWS S3 buckets for efficient media storage, allowing for secure and scalable management of images, videos, and other assets related to NFTs.

•Utilized AWS CloudFront for content delivery, reducing latency and ensuring fast access to NFT-related media for users across regions.

•Implemented AWS Lambda for executing background tasks, improving system performance and scalability without managing server infrastructure.

•Developed user authentication with Flask-Login, form validation with Flask-WTF, and asynchronous background task management with Celery, ensuring optimized backend performance.

•Integrated Pyshark for real-time network packet analysis, enhancing security and enabling efficient data monitoring for NFT transactions.

•Built dynamic, responsive user interfaces with React.js and React Native, ensuring smooth and intuitive user experiences across web and mobile platforms, particularly for inexperienced crypto users.

•Implemented image loading techniques, including lazy loading, progressive image rendering, and webp format optimization, ensuring fast and seamless loading of high-resolution NFT assets while reducing bandwidth usage.

•Ensured seamless frontend-backend integration through RESTful APIs and React Query, facilitating efficient data flow and user interactions with backend systems.

•Optimized frontend performance by leveraging techniques like code splitting, tree shaking, and preloading critical resources, resulting in faster load times and better user experience.

•Employed AWS CloudWatch to monitor application logs and performance metrics, proactively identifying and resolving potential issues.

•Implemented automated testing strategies with Jest for React components, Pytest for backend testing, and Swagger for comprehensive API documentation, ensuring robustness and reliability across systems.

•Optimized database queries and workflows for transaction-heavy NFT operations, utilizing SQLAlchemy's advanced query capabilities.

•Collaborated with team members to make the UI user-friendly, focusing on simplifying the experience for non-technical crypto users while ensuring reliability and performance across

•platforms.

Backend Developer, Zammo.ai 07/2017 – 08/2019

•Developed healthcare web app in MERN stack, ensuring robust functionality and user experience.

•Designed and developed multiple web and mobile applications using Node.js, for backend and React Native for frontend.

•Utilized databases such as Oracle and MongoDB, and developed APIs using GraphQL.

•Implemented unit testing frameworks such as Jest, Mocha, and Chai, and applied test-driven development principles toensurecode quality and robustness.

•Experience with multi-threading, parallel programming, and memory optimization techniques.

•Worked with cloud platforms such as Google Firebase and AWS, and utilized their services to SQL/MongoDB deploy,manage, and scale web applications.

Frontend Developer, Turn Hatch 01/2016 – 06/2017

•Designed and developed user interfaces for fintech applications using React.js and Flutter, focusing on performance optimization and scalability.

•Integrated backend services by consuming RESTful APIs, ensuring seamless data flow and real-time updates for users.

•Created high-quality, performance-optimized visual components, utilizing React Hooks, Redux for state management, and React Router for efficient navigation.

•Implemented responsive design principles and cross-platform compatibility with Flutter, ensuring a consistent experience across web and mobile platforms.

•Worked closely with backend teams to design API endpoints, ensuring smooth interactions between frontend and backend systems.

•Enhanced the user experience by integrating interactive elements like charts, graphs, and real-time data feeds for financial dashboards.

•Applied best practices in code quality, including reusable component design, modular architecture, and efficient rendering techniques, ensuring maintainability and scalability of the application.

•Optimized frontend performance using techniques like lazy loading, code splitting, and memoization, leading to faster page loads and improved user experience Education

Bachelor’s Degree in Computer Science, Columbia University 2011 – 2015

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