• Engage with enterprise customers to implement full-stack AI solutions, drive engineering discussions, and design scalable and reliable reference architectures.

• Develop new specifications and documentation, and participate in creating technical procedures and user support guides.

• Assess technical risks, devise mitigation strategies, and collaborate with internal teams to incorporate customer feedback into the core product offerings.

• Led technical discussions with clients and partners to support sales activities and business operation; developed automation tools, devised solutions for internal and external challenges.

• Evaluated customer requirements, implemented and troubleshooted technical integrations, enriched company's knowledge base with documentation; secured partnership with several largest publishers in US.

• Conveyed customer feedback and market trends with strategic thought to product and engineering teams; facilitated product development and technical advancement.

• Supported sales process with technical coaching materials, market research and use cases study; helped enterprises from various sectors adopt AI technologies.

• Conducted technical presentations, user journey mapping, prototyping, and demos to clients, partners, and prospects based on available technologies and market segments.

• Performed data analysis and use case study; worked with partner companies to align solutions design with clients’ business requirements to optimize value for multiple parties.

• Integrated the latest AI technologies to build software products based on microservices architecture and REST APIs for enterprise solutions supporting 10M+ annual active users.

• Built a web-based distributed data labelling platform for speech audio transcription, capable of processing 1M+ hours of audio data per year.

• Collaborated with cross-functional teams that included data scientists, engineers, product managers, UI/UX designers, and QAs in the Scrum workflow to achieve over 90% NLP accuracy.