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Hi, I’m Kai Wang, a Senior Software Engineer with extensive experience in building scalable, high-performance platforms across logistics, legal tech, and career marketplaces. I specialize in full-stack development, AI integration, microservices, and cloud infrastructure, and I enjoy leading teams through complex technical challenges to deliver customer-centric solutions. I’ve led end-to-end development across multiple SaaS products, improved system performance and reliability, and focused on delivering measurable business outcomes. I thrive in collaborative environments and am passionate about building products that optimize operations, enhance user experiences, and drive growth.…Hi, I’m Kai Wang, a Senior Software Engineer with extensive experience in building scalable, high-performance platforms across logistics, legal tech, and career marketplaces. I specialize in full-stack development, AI integration, microservices, and cloud infrastructure, and I enjoy leading teams through complex technical challenges to deliver customer-centric solutions. I’ve led end-to-end development across multiple SaaS products, improved system performance and reliability, and focused on delivering measurable business outcomes. I thrive in collaborative environments and am passionate about building products that optimize operations, enhance user experiences, and drive growth.

Kai Wang

Full Stack Developer, Back-End Developer, Front-End Developer, +3

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Hi, I’m Kai Wang, a Senior Software Engineer with extensive experience in building scalable, high-performance platforms across logistics, legal tech, and career marketplaces. I specialize in full-stack development, AI integration, microservices, and cloud infrastructure, and I enjoy leading teams through complex technical challenges to deliver customer-centric solutions. I’ve led end-to-end development across multiple SaaS products, improved system performance and reliability, and focused on delivering measurable business outcomes. I thrive in collaborative environments and am passionate about building products that optimize operations, enhance user experiences, and drive growth.…Hi, I’m Kai Wang, a Senior Software Engineer with extensive experience in building scalable, high-performance platforms across logistics, legal tech, and career marketplaces. I specialize in full-stack development, AI integration, microservices, and cloud infrastructure, and I enjoy leading teams through complex technical challenges to deliver customer-centric solutions. I’ve led end-to-end development across multiple SaaS products, improved system performance and reliability, and focused on delivering measurable business outcomes. I thrive in collaborative environments and am passionate about building products that optimize operations, enhance user experiences, and drive growth.

Available to hire

Hi, I’m Kai Wang, a Senior Software Engineer with extensive experience in building scalable, high-performance platforms across logistics, legal tech, and career marketplaces. I specialize in full-stack development, AI integration, microservices, and cloud infrastructure, and I enjoy leading teams through complex technical challenges to deliver customer-centric solutions.

I’ve led end-to-end development across multiple SaaS products, improved system performance and reliability, and focused on delivering measurable business outcomes. I thrive in collaborative environments and am passionate about building products that optimize operations, enhance user experiences, and drive growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Software Engineer at KITRUM

November 1, 2023 - Present

Built a legal AI agent SaaS platform leveraging LLM APIs and RAG architecture to enable document analysis, meeting transcription analysis, and intelligent case research, processing 60GB+ of documents for enterprise legal teams. Engineered an automated case onboarding workflow reducing manual setup time by 50% and boosting customer engagement by 15% through intelligent document categorization and information extraction. Developed a context-aware chatbot that answers case-specific questions by retrieving relevant information from processed case documents, improving lawyer productivity and case knowledge accessibility. Designed and deployed scalable backend services and full-stack solutions across multiple SaaS products, including an e-learning platform and therapist matching application, ensuring reliable performance and seamless user experiences. Led end-to-end development including system architecture, API design, database optimization, and frontend implementation across the legal AI a

Staff Software Engineer at DoorDash

August 1, 2022 - November 30, 2023

Developed and optimized a real-time recommendation notification system, driving growth and user engagement through personalized recommendations and intelligent notifications. Led platform improvements to enhance recommendation efficiency, contributing to a 20% increase in customer retention. Designed scalable backend services and integrated AI-based recommendation systems to streamline user experiences and optimize engagement. Collaborated with product and engineering teams to ensure timely feature delivery, meeting performance, availability, and scalability requirements.

Staff Software Engineer at Snap Inc.

July 1, 2021 - August 31, 2022

Led the development of friend recommendation algorithms, utilizing embedding-based retrieval and personalized PageRank to drive social interactions on the platform. Optimized the retrieval ranking system to enhance recommendation relevance, improving user satisfaction and increasing engagement by 25%. Integrated machine learning models to enhance content personalization, refining algorithms based on A/B testing and user feedback. Worked closely with cross-functional teams to ensure the performance of recommendation systems met Snap's real-time processing standards.

Senior Software Engineer at Amazon

May 1, 2020 - July 31, 2021

Led the migration of a repeated purchase recommendation service, optimizing it for scalability and performance, reducing latency by 30%. Designed and implemented backend services for handling millions of customer data points while maintaining high availability and resilience. Delivered key features for the recommendation engine, improving operational efficiency and user engagement for Amazon’s consumer-facing applications. Collaborated with cross-functional teams to implement machine learning models and enhance data processing pipelines, significantly improving system throughput.

Software Engineer at Facebook

July 1, 2017 - May 31, 2020

Contributed to video growth strategies by enhancing co-watching and sports video engagement through the development of personalized recommendation systems. Developed and optimized search ranking infrastructure, including the integration of clickstream features and offline training data to improve search relevance. Enhanced backend systems supporting real-time video recommendation, resulting in a 20% increase in user engagement and viewing time. Led key initiatives in improving system scalability, reducing backend processing time by 40%.

Senior Software Engineer at Groupon

October 1, 2014 - July 31, 2017

Designed and implemented a backend web service for email recommendations, utilizing NoSQL databases and rule-based algorithms. Built an email and notification scheduling system that integrated with various backend services, boosting customer engagement by 15%. Collaborated with product and business teams to refine recommendation algorithms based on user feedback and business goals.

Research Assistant at Stony Brook University

August 1, 2010 - December 31, 2013

Conducted research in load balancing algorithms and nonlinear communication time optimization for distributed systems. Published findings in peer-reviewed journals, contributing to advancements in distributed computing and algorithm optimization.

Senior Software Engineer at DoorDash

August 1, 2022 - November 1, 2023

Developed and optimized a real-time recommendation notification system to boost growth and user engagement through personalized recommendations and intelligent notifications. Led platform improvements to enhance recommendation efficiency, contributing to a 20% increase in customer retention. Designed scalable backend services and integrated AI-based recommendation systems to streamline user experiences. Collaborated with product and engineering teams to ensure timely feature delivery meeting performance, availability, and scalability requirements.