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I worked as a full-stack software engineer on Kalakar.io, an AI captioning and video-editing SaaS platform. I implemented its subscription billing system and ElevenLabs-powered audio processing, and contributed to the frontend and backend product experience.
The platform supports multilingual transcription, editable captions, media uploads, usage-based plans, cloud storage, team accounts, and several professional export formats.
I have build the following features on this app:
-Automatic captions for more than 20 South Asian and international languages
- English and other mixed-language transcription
- Roman and native script selection
- Editable word-level captions
- Timeline-based caption editing
- Custom caption templates, fonts, colors, and animations
- AI audio cleaning and background-noise removal
- Video and audio uploads
- Batch uploading
- Translation into English
- Horizontal and vertical video formats
- Rendering up to 4K at 60 FPS
- SRT and VTT subtitle exports
- Alpha-channel caption rendering
- Green-screen and blue-screen rendering
- Transcript exports in DOCX, TXT, and Markdown
- Premiere Pro and DaVinci Resolve support
- Subscription plans and recurring payments
- Transcription, translation, and storage limits
- Add-on credit purchases
- Team workspaces and per-member billing
- Recent projects and storage-usage dashboards
AI Application DevelopmentBackend DevelopmentFrontend DevelopmentElevenLabsStripeSupabasefullstackdevelopersaasdeveloperaiintergration
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Web Development Certification 🎓
Another step forward in my web development journey.
I’ve successfully completed a 4-month Core PHP Developer program, strengthening my foundation across:
→ HTML & CSS
→ JavaScript & jQuery
→ Bootstrap
→ WordPress
→ PHP & MySQL
For me, a certificate isn’t the finish line — it’s proof of consistent learning and a stronger foundation for building real projects.
Now I’m focused on applying these skills to create modern, responsive, user-focused websites and web experiences for real businesses and clients.
Learn. Build. Improve. Repeat.
#WebDevelopment #PHPDeveloper #FrontendDevelopment #WordPress #MySQL
Congrats on completing the four months, Uzair! Your next-project focus is a good one. A small business site with an editable service catalogue could bring the responsive UI and PHP/MySQL pieces together in one useful case study. What are you planning to build first?
Je creez une video avec l'ia sur Descript ou je raconte comment je fesais mes beats
comment j'ai fait ca?
alors c'est simple, j'ai enregistré mon ecran en jouant un beat sur fl studio
et ensuite je l'importe sur descript puis j'ai tapé un prompt puis il m'a genere la video et voila🙌
Manufacturing facility managers were flying blind, relying on delayed reports and disconnected spreadsheets to monitor multi-line production status. A modern industrial operation needed a central nervous system. I designed and developed FABRIX AI — a high-performance, real-time command center that aggregates data across active production lines and delivers instant visibility into yield, OEE (Overall Equipment Effectiveness), and maintenance alerts.
The Challenge
Industrial environments generate massive amounts of data, but it's often siloed or presented in outdated, hard-to-read interfaces. The core challenge was twofold:
Data Aggregation: We needed to ingest live statuses, targets, and outputs from multiple concurrent production lines without latency.
Cognitive Load: Operators on the factory floor needed a UI that instantly communicated critical alerts (like yield drops or material shortages) without requiring them to dig through menus. The interface had to be deeply legible in low-light industrial environments while looking like a premium, modern SaaS product.
he FABRIX AI dashboard transformed raw factory data into an actionable, real-time narrative.
Facility managers now have a single pane of glass showing global OEE, total output, and granular line-by-line efficiency.
The high-contrast alert system dramatically reduces response times to yield drops and maintenance bottlenecks.
The fully responsive, single-page application structure allows the dashboard to be displayed on large factory floor monitors or accessed remotely by shift supervisors without losing visual hierarchy.
