Built DocuPow, an AI-powered document processing and audit platform that automates data extraction, validation, and workflow management.
The system streamlines high-volume document handling with intelligent search, structured data pipelines, and real-time status tracking reducing manual effort and improving accuracy for business operations.
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What if your business had a developer who could also automate the boring parts of the business? That’s essentially what I build.
I combine full-stack development + AI + automation + APIs to turn manual processes into systems that run on their own.
For example:
📄 Documents → AI extraction → structured data
🤖 Customer questions → AI agent → qualified lead
💳 Payment → webhook → automated workflow
📞 Customer → voice/SMS → CRM update
🧠 Resume → LLM → structured candidate profile
I’ve worked on everything from AI document platforms and resume parsing to automated identity verification and custom API integrations. I’m not interested in adding AI just because it’s trendy.
I want the AI to actually save time, reduce manual work, or make the product better.
If you’re building something ambitious, I would love to hear what you’re working on.
#AI #Automation #AIAgents #FullStack #SaaS #APIs #SoftwareDevelopment
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The Unassisted Video Customer Identification Process (VCIP) is a fully automated digital identity verification solution that allows users to complete KYC remotely without a live agent.
It uses AI, liveness detection, and secure integrations to verify identity through video, ID capture, and biometric matching. The system guides users through permissions, data entry, document validation, and a real-time video session with PIN and face checks. AI-powered OCR extracts data from IDs, while facial recognition ensures identity consistency and fraud prevention.
This approach improves user experience, reduces operational costs, and enables faster, scalable onboarding. Overall, it delivers a secure, compliant, and self-service verification process for businesses and users.
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Developed a cutting-edge resume parsing application that leverages the power of Large Language Models (LLMs) to extract information from resumes with superior accuracy compared to traditional Optical Character Recognition (OCR) methods.
Key Features:
LLM Driven Extraction: Utilized advanced LLMs to intelligently understand and interpret the semantic meaning within resumes.
Structured Output: Transformed unstructured resume data into a clean, structured format for easy integration with Applicant Tracking Systems (ATS), databases, and other HR software.
I turn ideas into polished, production ready products.
5.0
Rating
1
Followers
I turn ideas into polished, production ready products.
Worked on Fill Easy, a Hong Kong Government project built to support KYC, KYB and business verification workflows for financial institutions and businesses. I worked across the frontend, backend, verification workflows, API integrations, document processing and reporting infrastructure.
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Worked on Zocket, an AI-powered advertising platform that helps businesses create and manage ad campaigns. I worked across the product, building AI-powered workflows, campaign management features, dashboards, integrations, and the underlying infrastructure that brings everything together.
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Built EasyFynd Business, a platform that helps real estate businesses manage listings, bookings, payments and their online presence. I worked across the web and mobile product, building business dashboards, property management, booking workflows, availability tools and other operational features.
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138
Worked on Nue, an enterprise SaaS platform for CPQ, billing and revenue management. I worked across the product and backend, building workflows and features that help businesses manage complex pricing, quoting, subscriptions and billing operations.
I’ve been exploring editorial design lately, and I’m honestly in love. Using this wedding photographer passion project as a playground to experiment and tell a story through layout🤍
Backend Security Engineer | API & File Upload Security
Backend Security Engineer | API & File Upload Security
Security Decision Engine for Malware Scanning
Development of a security decision engine for malware scanning workflows.
Features:
• analyze scan results from security engines
• generate risk verdicts and actions
• provide security recommendations
• integrate decision logic into backend workflows
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File & URL Security Scanner for Web Applications
Development of a file and URL security scanner designed for web applications.
Capabilities:
• scan uploaded files for malware
• analyze URLs for potential threats
• provide clear risk verdicts
• integrate scanning into SaaS workflows
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Secure File Upload & Malware Scanning API
Implementation of a secure file upload pipeline for SaaS applications.
Includes:
• file validation and size restrictions
• malware scanning integration
• API endpoint protection
• secure storage workflow
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Secure file upload malware scanning system for SaaS applications.
This project demonstrates a secure pipeline for analyzing uploaded files
before they reach application storage.
Key capabilities:
• malware detection using multiple scanning engines
• risk classification and verdict system
• AI-assisted decision layer
• secure file upload validation
• downloadable PDF security reports
Built for SaaS teams that need safe file upload handling
and visibility into potential threats.