Freelancers using FFmpeg in Lahore
Freelancers using FFmpeg in Lahore
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Umar Abdullah
max
Lahore, Pakistan
Full Stack Developer, AI Expert, Web & App | Chromium Expert
$50k+
Earned
6x
Hired
5.0
Rating
38
Followers
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Full Stack Developer, AI Expert, Web & App | Chromium Expert
2
Match-Ups Browser: A Sports-Focused Multi-Streaming Browser
2
6
5
Full-Stack Developer | Chromium Expert | Chrome Extension
5
32
5
Chromium Expert | Custom AOL Chromium Browser Development
5
17
4
Chrome Extension Development (API + Supabase Backend)
4
16
FFmpeg
(1)
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Muhammad Talha
Lahore, Pakistan
AI Engineer
8
Followers
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AI Engineer
2
VeoChain is an AI-powered video generation tool that overcomes the typical 8-second limit of AI video models like Google's Gemini Veo 2.0. It intelligently chains multiple video segments together by analyzing each segment's ending and generating continuation prompts, creating seamless 24+ second videos from a single prompt. The app features browser-based video stitching using FFmpeg.wasm (no server uploads needed), a clean Attio-inspired UI built with Next.js and Framer Motion, and persistent project history with IndexedDB. Users simply enter their Gemini API key, write a prompt, and VeoChain handles the multi-segment generation, chaining, and final export automatically.
2
135
1
MediBot - Medicine Suggestion AI Bot
1
2
0
High-Performance RAG Application Development
0
0
0
AI News Automation Bot
0
1
FFmpeg
(1)
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Fariha Muazzam
pro
Lahore, Pakistan
I build production-ready AI systems that actually ship
New to Contra
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I build production-ready AI systems that actually ship
0
AI-based Video Generation Pipeline
0
1
1
Satellite imagery is the ultimate stress test for Computer Vision. It is not just about detection; it is about architecting precision across massive, high-resolution datasets where every pixel counts. I have been building AI pipeline to segment parking lots, walkways, and structures from aerial data. The challenge is not just the mode, it is the Infrastructure: - Tiling & Inference: Processing massive dimensions without losing small-object context. - Robust Pre-processing: Using OpenCV to handle varying lighting and atmospheric "noise." - Cloud Orchestration: Turning heavy segmentation models into responsive, scale-ready tools. It is about turning raw pixels into a reliable data layer for the business. Currently opening 20 hours/week for long-term partnerships in Computer Vision & AI Systems.
1
54
0
I designed and delivered an end-to-end MVP for a real-time AI talking avatar system, where live browser speech is converted into an AI-generated response and rendered through a lip-synced avatar video on GPU hardware. The objective was to validate technical feasibility, latency characteristics, and perceived real-time interaction before committing to production hardening. The system integrates speech-to-text, LLM-based reasoning, text-to-speech, and video synthesis into a single, runnable pipeline, deployed on an A100 GPU.
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256
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At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.
0
217
FFmpeg
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