PREMIUM
ziran wu
Markham, Canada
ziran wu
web development, seb optimization
Category : Web development
I provide web development services focused on building business websites, real-time web applications, AI-powered platforms, and financial web pages. My recent work includes projects with InteractMet, where I have been developing a real-time video call translation platform available at app.interactmet.ca. The platform helps users communicate across different languages during live online meetings by combining video calling, speech-to-text, translation, real-time captions, and AI voice technology.
For InteractMet, I worked on creating a real-time communication experience using WebRTC-based tools and video SDKs such as Agora and Daily.co. The platform allows users to join video meetings and receive multilingual support during the conversation. My responsibilities included building user-facing web features, integrating live audio and video functions, connecting speech recognition and translation services, displaying translated captions, and improving the overall user experience.
I also worked on backend and cloud-related parts of the project, including API integration, database support, and cloud deployment. The system connects AI services for speech-to-text, translation, and text-to-speech, while using cloud services such as AWS and Google Cloud to support performance and scalability. I also have experience with Supabase for backend data management and Stripe for subscription billing, usage tracking, invoicing, and customer payment management.
In addition to InteractMet, I worked on a financial web page project with Entramigo. This project focused on building a professional, modern, and easy-to-understand financial website. My work included organizing the page structure, improving the design and user experience, presenting financial information clearly, and helping create a trustworthy online presence for business users and clients.
My background also includes data analysis, business analysis, and project management. I have experience with Python, SQL, Excel, Tableau, Power BI, database management, dashboards, and financial data analysis. This helps me understand business needs, translate requirements into technical tasks, and build practical web solutions that support business growth, communication, and customer experience.
For InteractMet, I worked on creating a real-time communication experience using WebRTC-based tools and video SDKs such as Agora and Daily.co. The platform allows users to join video meetings and receive multilingual support during the conversation. My responsibilities included building user-facing web features, integrating live audio and video functions, connecting speech recognition and translation services, displaying translated captions, and improving the overall user experience.
I also worked on backend and cloud-related parts of the project, including API integration, database support, and cloud deployment. The system connects AI services for speech-to-text, translation, and text-to-speech, while using cloud services such as AWS and Google Cloud to support performance and scalability. I also have experience with Supabase for backend data management and Stripe for subscription billing, usage tracking, invoicing, and customer payment management.
In addition to InteractMet, I worked on a financial web page project with Entramigo. This project focused on building a professional, modern, and easy-to-understand financial website. My work included organizing the page structure, improving the design and user experience, presenting financial information clearly, and helping create a trustworthy online presence for business users and clients.
My background also includes data analysis, business analysis, and project management. I have experience with Python, SQL, Excel, Tableau, Power BI, database management, dashboards, and financial data analysis. This helps me understand business needs, translate requirements into technical tasks, and build practical web solutions that support business growth, communication, and customer experience.
Portfolio
Contact details
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
![web development]()
web development100 $ - Per productI provide web development services focused on building business websites, real-time web applications, AI-powered platforms, and financial web pages. My recent work includes projects with InteractMet, ...
Proven expertise in leading advanced modeling initiatives for renewable energy applications, including the design and deployment of solar-reflective mirrors for drone flight energy support. Skilled in leveraging GIS platforms (ArcGIS, QGIS) and Python-based analytical tools (GeoPandas, PyOpt) to optimize energy distribution and mirror placement strategies. Demonstrated ability to integrate environmental compliance, cost efficiency, and technical feasibility into scalable solutions, ensuring sustainable and efficient drone operations. Experienced in managing cross-functional teams, coordinating with stakeholders, and delivering comprehensive reports for regulatory approvals and operational deployment.
Designed and implemented a real-time video call translation platform using WebRTC-based SDKs (Agora, Daily.co), enabling seamless, low-latency bidirectional audio/video streams for multilingual conversations.
Integrated automated speech-to-text (STT) engine with custom noise suppression and beamforming preprocessing, achieving sub-100ms transcription latency and over 90% accuracy across 126 languages.
Developed a translation pipeline combining for my own training translation model delivering translations in under 150ms to maintain natural conversation flow.
Engineered a personalized voice cloning and TTS system in AWS and connect to the apps,and AI synthesizing translated speech in users’ voices and synchronizing lip movements via phoneme alignment for video streams.
Orchestrated microservices architecture on AWS (EC2, ECS, Lambda) and Google Cloud Run to host STT, translation, and TTS APIs, ensuring horizontal scaling for peak concurrent calls and reducing end-to-end latency to under 100ms.
Implemented real-time closed captions and computer vision-based sign language overlays (using OpenCV and TensorFlow), enhancing accessibility and compliance with PIPEDA and GDPR.
Designed and integrated usage-based billing and subscription management with Stripe API, tracking per-minute call usage, tiered pricing, automated invoicing, and dashboard reporting via Supabase.
Performed performance profiling and A/B testing, optimizing pipeline throughput to reduce CPU utilization by 30% and lower per-call operational costs by 25%.
Led a cross-functional team of 4 engineers and UX designers, managing Agile sprints, backlog prioritization, and CI/CD pipelines with GitHub Actions for rapid, reliable feature deployments.
Conducted in-depth market research and competitive analysis, crafting strategic roadmaps presented to investors and securing a seed funding term sheet in Q2 2025.
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Integrated automated speech-to-text (STT) engine with custom noise suppression and beamforming preprocessing, achieving sub-100ms transcription latency and over 90% accuracy across 126 languages.
Developed a translation pipeline combining for my own training translation model delivering translations in under 150ms to maintain natural conversation flow.
Engineered a personalized voice cloning and TTS system in AWS and connect to the apps,and AI synthesizing translated speech in users’ voices and synchronizing lip movements via phoneme alignment for video streams.
Orchestrated microservices architecture on AWS (EC2, ECS, Lambda) and Google Cloud Run to host STT, translation, and TTS APIs, ensuring horizontal scaling for peak concurrent calls and reducing end-to-end latency to under 100ms.
Implemented real-time closed captions and computer vision-based sign language overlays (using OpenCV and TensorFlow), enhancing accessibility and compliance with PIPEDA and GDPR.
Designed and integrated usage-based billing and subscription management with Stripe API, tracking per-minute call usage, tiered pricing, automated invoicing, and dashboard reporting via Supabase.
Performed performance profiling and A/B testing, optimizing pipeline throughput to reduce CPU utilization by 30% and lower per-call operational costs by 25%.
Led a cross-functional team of 4 engineers and UX designers, managing Agile sprints, backlog prioritization, and CI/CD pipelines with GitHub Actions for rapid, reliable feature deployments.
Conducted in-depth market research and competitive analysis, crafting strategic roadmaps presented to investors and securing a seed funding term sheet in Q2 2025.
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Build machine learning models to predict Ames house price with area, garage, built year, room info, etc.
Generated business requirements with key stakeholders, finalized Business Rules Document (BRD), able to translate business objectives into detailed business plans for data analytics solutions
Prepared and analyzed raw data with Pandas. Imputed missing values and handled long tail label with log-transformation.
Encoded categorical features using an ordinal encoding scheme. Standardized the data before running models using Python and sklearn.
Built 10+ visualized dashboard using with Tableau to show key performance indicator’s (KPI’s) such as customer segmentation, profitability, revenue etc. and metrics results, synthesized data and reports for business insights, automated scorecards and scheduled to run on a regular basis
Conducted 20+ ad-hoc analysis using MySQL, inspected suspicious data points, checked feature correlation with heatmap, removed redundant features and improved data accuracy/report efficiency
Completed additional market research and portfolio analysis in brainstorm session to dig potential opportunities on customer experience improvement and operational optimization
Working cross-functionally with different teams including Data engineering, Marketing, and Finance for company priorities
Presented meaningful data insights results to executive teams to support business operations
Generated business requirements with key stakeholders, finalized Business Rules Document (BRD), able to translate business objectives into detailed business plans for data analytics solutions
Prepared and analyzed raw data with Pandas. Imputed missing values and handled long tail label with log-transformation.
Encoded categorical features using an ordinal encoding scheme. Standardized the data before running models using Python and sklearn.
Built 10+ visualized dashboard using with Tableau to show key performance indicator’s (KPI’s) such as customer segmentation, profitability, revenue etc. and metrics results, synthesized data and reports for business insights, automated scorecards and scheduled to run on a regular basis
Conducted 20+ ad-hoc analysis using MySQL, inspected suspicious data points, checked feature correlation with heatmap, removed redundant features and improved data accuracy/report efficiency
Completed additional market research and portfolio analysis in brainstorm session to dig potential opportunities on customer experience improvement and operational optimization
Working cross-functionally with different teams including Data engineering, Marketing, and Finance for company priorities
Presented meaningful data insights results to executive teams to support business operations
- 🇬🇧 English
- 🇨🇳 Chinese
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