Arelle S.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Apr 29, 2026.

I am a highly skilled Software Engineer with over 7 years of hands-on experience in developing high-performance applications and distributed systems. My expertise spans C++, Python, C#, JavaScript/TypeScript, Node.js, GoLang, Rust, and PHP, with a strong specialization in video streaming technologies and backend infrastructure optimization. I focus on building scalable, reliable, and efficient systems — from low-level video encoding pipelines to full-stack streaming platforms deployed in the cloud. 🎥 Video Streaming & Media Technologies I specialize in designing and implementing end-to-end video streaming platforms using advanced tools and frameworks such as FFmpeg/Libav, GStreamer, LiveKit, and SRS. Core Competencies: 📌 Deep expertise with streaming protocols — RTMPS, RTMP, RTP, RTSP, SRT, HLS, DASH, and WebRTC (live & VOD). 📌 Advanced knowledge of H.264 / H.265 (x264, x265) codecs and NVIDIA GPU NVENC for hardware acceleration. 📌 Experience with hardware-based encoding on Orange Pi and Raspberry Pi devices. ☁️ Cloud Platforms & DevOps I have a proven record in architecting and deploying distributed systems and cloud-native applications using AWS, Google Cloud Platform (GCP), and Microsoft Azure. Expertise includes: ☑️ AWS: EC2, Lambda, VPC, Fargate, S3, Step Functions, Lightsail. ☑️ GCP: Cloud Run, Cloud Functions, BigQuery, Firebase, Anthos, GKE, and Video AI. ☑️ DevOps & Automation: Docker, Terraform, CI/CD pipelines, and scalable infrastructure design. ☑️ Serverless & Edge Computing: Cloudflare Workers, R2, and Fastly for low-latency content delivery. 🧠 AI, Computer Vision & Emerging Technologies ✔️ Hands-on experience implementing YOLO (You Only Look Once) for real-time object detection in live video pipelines. ✔️ Built AI-enhanced streaming systems combining YOLO, OpenCV, and FFmpeg for automated scene detection, tracking, and analytics. ✔️ Practical experience with HuggingFace, RunPod, Stable Diffusion, and Stable Video Diffusion (SVD) for AI-driven video generation and analysis. ✔️ Skilled in using collaboration and media platforms like BaseRow, BigBlueButton, Jitsi, and Jibri. ✔️ Advanced understanding of network security and proxy configurations, including Squid HTTP Proxy. 🚀💪 Strengths & Achievements ✅ Backend Architecture Excellence: Designed and deployed secure, scalable APIs and microservices with outstanding performance. ✅ Cloud & Distributed Systems: Built resilient cloud systems capable of handling large-scale real-time workloads. ✅ Video Streaming Innovation: Developed and optimized complex real-time and on-demand streaming pipelines for various platforms. ✅ Computer Vision Integration: Developed YOLO-based detection modules for video analysis and event recognition in live streams. ✅ Strong Academic Foundation: Bachelor’s Degree in Computer Science, with a proven track record of delivering high-quality results on time and within budget. I’m passionate about creating intelligent, future-ready solutions that combine innovation with real-world efficiency. My goal is to transform ideas into production-grade systems that are secure, scalable, and built to last. With a strong commitment to excellence, teamwork, and continuous learning, I consistently deliver results that exceed expectations.