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Skipzz
Frontend Engineer
Overview
Software Engineer @Impressario Global
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About
- Full-stack Developer with strong expertise in Next.js, TypeScript, and modern JavaScript ecosystems — focused on performance, clean architecture, and polished user experiences.
- Experienced in building AI-powered applications, real-time systems, microservices, and scalable end-to-end solutions across web and mobile.
- Skilled in Node.js, PostgreSQL, MongoDB, vector databases, and cloud technologies, with hands-on experience designing resilient systems that handle video processing, AI workflows, and high-frequency interactions.
- Passionate about combining engineering with creativity — turning ideas into production-ready products, intuitive interfaces, and technically sound systems.
- Creator of Workly — an AI-driven job recommendation platform leveraging embeddings, pgvector, and real-time matching to enhance candidate–job relevance.
- Built Dizo, a real-time collaborative whiteboard using WebSockets, event-driven architecture, and low-latency canvas synchronization.
- Always exploring system design, distributed architectures, and emerging AI frameworks to stay on the cutting edge of modern engineering.
GitHub Contributions
Stack
Experience
Impressario Global
W3Dev
- Built an AI-powered chat interface using JavaScript and OpenAI Function Calling, enabling users to explore in-app data conversationally and increasing engagement by 20%.
- Designed and executed AI evaluation suites that improved chatbot accuracy to ~80%, enhancing reliability across microservice-integrated data sources.
- Developed a scalable Node.js microservice that ingests videos, encodes them into HLS segments, and uploads them to AWS S3 in parallel chunks for adaptive bitrate streaming.
- Implemented full i18n support in a Next.js application, localizing it into 6 languages to expand global accessibility.
- JavaScript
- Next.js
- Node.js
- OpenAI Function Calling
- HLS
- AWS S3
- i18n
- Microservices
- AI Evaluation
- Video Encoding
- Tailwind CSS
Projects(2)
An intelligent job application platform powered by AI and vector search.
Highlights:
- Developed using Next.js, TypeScript, and Tailwind CSS with SSR for performance.
- Built an AI-driven recommendation system using PostgreSQL + pgvector, enabling semantic job matching.
- Created automated resume parsing pipelines that convert candidate documents into embeddings for vector similarity.
- Implemented role-based authentication for job seekers and recruiters.
- Added secure document uploads, real-time notifications, and adaptive matching algorithms.
- Next.js
- TypeScript
- Tailwind CSS
- PostgreSQL
- pgvector
- Vector Search
- AI Recommendation System
- Drizzle ORM
- AWS S3
- Resume Parsing
- Authentication
- Real-time Notifications
A low-latency collaborative whiteboard supporting multi-user real-time drawing.
Highlights:
- Built a real-time sync engine using WebSockets (Socket.io) to support collaborative drawing.
- Engineered conflict-free interaction handling with concurrent shape edits.
- Developed a Node.js backend managing room sessions and user presence.
- Built an interactive, responsive UI using Next.js 14 + TypeScript.
- Supports drawing, erasing, shapes, and live cursor indicators.
- Next.js 14
- TypeScript
- WebSockets
- Socket.io
- Real-time Systems
- Event-driven Architecture
- Concurrency
- Node.js
- Canvas API
Certifications(5)
Bookmarks
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