Muhammad Usman B.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 Nov 5, 2026.

𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 𝐫𝐞𝐚𝐥‑𝐭𝐢𝐦𝐞 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐖𝐞𝐛𝐑𝐓𝐂/𝐋𝐢𝐯𝐞𝐊𝐢𝐭 + 𝐒𝐈𝐏/𝐕𝐨𝐈𝐏 + 𝐓𝐰𝐢𝐥𝐢𝐨/𝐀𝐬𝐭𝐞𝐫𝐢𝐬𝐤). 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐥𝐨𝐰‑𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐚𝐮𝐝𝐢𝐨/𝐯𝐢𝐝𝐞𝐨, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐬𝐭𝐫𝐞𝐚𝐦𝐢𝐧𝐠, 𝐫𝐞𝐜𝐨𝐫𝐝𝐢𝐧𝐠/𝐞𝐠𝐫𝐞𝐬𝐬 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 (𝐒𝐓𝐓/𝐓𝐓𝐒 + 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈) 𝐭𝐡𝐚𝐭 𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. I build enterprise-grade real-time systems, 𝐖𝐞𝐛𝐑𝐓𝐂 / 𝐋𝐢𝐯𝐞𝐊𝐢𝐭, 𝐒𝐈𝐏/𝐕𝐨𝐈𝐏 𝐭𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲, and 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 (STT/TTS + conversational AI). If you're dealing with 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐜𝐚𝐥𝐥 𝐝𝐫𝐨𝐩𝐬, 𝐍𝐀𝐓/𝐓𝐔𝐑𝐍 𝐢𝐬𝐬𝐮𝐞𝐬, 𝐫𝐞𝐜𝐨𝐫𝐝𝐢𝐧𝐠 𝐟𝐚𝐢𝐥𝐮𝐫𝐞𝐬, 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬, or 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧, I can help you deliver a stable solution end-to-end. I'm 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 on Upwork with strong long-term delivery history, and I focus on what clients actually care about, 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, and 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 (join time, RTT, jitter, packet loss, concurrency, CPU/bandwidth cost). I'm also an inventor on a 𝐠𝐫𝐚𝐧𝐭𝐞𝐝 𝐔𝐒 𝐩𝐚𝐭𝐞𝐧𝐭 (𝟏𝟐,𝟒𝟓𝟐,𝟑𝟏𝟕) in teleconferencing/real-time communication, so RTC is not just "a feature" for me; it's the core. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨 𝐛𝐞𝐬𝐭 ✅ 𝐖𝐞𝐛𝐑𝐓𝐂 / 𝐋𝐢𝐯𝐞𝐊𝐢𝐭 (𝐥𝐨𝐰‑𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐚𝐮𝐝𝐢𝐨/𝐯𝐢𝐝𝐞𝐨 + 𝐬𝐜𝐚𝐥𝐢𝐧𝐠) • LiveKit architecture (self-hosted) + production hardening • SFU scaling strategy (regions, routing, concurrency planning) • TURN/STUN/ICE reliability for strict NAT / enterprise networks • Performance tuning: jitter, packet loss, bitrate adaptation, simulcast/SVC strategy • Recording/egress pipelines + media routing + stream health monitoring ✅ 𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 (𝐒𝐈𝐏/𝐕𝐨𝐈𝐏) + 𝐓𝐰𝐢𝐥𝐢𝐨/𝐏𝐥𝐢𝐯𝐨 + 𝐀𝐬𝐭𝐞𝐫𝐢𝐬𝐤 • SIP trunking integrations (inbound/outbound), routing, call control • Asterisk: IVR, queues, dialplans, conferencing, PBX integrations • Twilio Programmable Voice: webhooks, recordings, call flows, media streaming • WebRTC ↔ SIP bridging (browser/app calling into PSTN) ✅ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 (𝐒𝐓𝐓/𝐓𝐓𝐒 + 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈) 𝐭𝐡𝐚𝐭 𝐰𝐨𝐫𝐤𝐬 𝐨𝐧 𝐫𝐞𝐚𝐥 𝐜𝐚𝐥𝐥𝐬 • Real-time STT streaming (partials, low latency) + speaker-aware workflows when possible • Streaming TTS with interruption handling (barge‑in) and turn-taking logic • Voice agent orchestration (including Vapi-style patterns) •Call summaries, structured data extraction, CRM updates, analytics • Guardrails + fallbacks (human handoff, escalation, retry logic) ✅ 𝐀𝐈/𝐌𝐋 + 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 (𝐰𝐡𝐞𝐧 𝐢𝐭 𝐬𝐮𝐩𝐩𝐨𝐫𝐭𝐬 𝐭𝐡𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭) I integrate AI/ML in a production-first way that doesn’t break real-time constraints: • OCR + computer vision pipelines (live overlays, detection, automation) • ML/LLM components for classification, routing, QA scoring, intent detection • PyTorch/TensorFlow integration when custom models are required • Generative AI features (RAG / knowledge-based responses) with accuracy controls 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 𝟏. 𝐐𝐮𝐢𝐜𝐤 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲: goals, target platforms, expected concurrency, latency KPI, constraints 𝟐. 𝐏𝐥𝐚𝐧: architecture + milestones + risks (written, clear scope) 𝟑. 𝐁𝐮𝐢𝐥𝐝 & 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞: clean implementation + reviews + docs 𝟒. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐫𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬: monitoring, alerts, load testing, handover 𝐓𝐲𝐩𝐢𝐜𝐚𝐥 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬 • Working, deployed solution (Docker/Ubuntu) • Reliable call/stream flows + error handling • Recording/transcription + storage integration if needed • Monitoring dashboards + alert rules • Documentation + runbooks + next-step roadmap 𝐖𝐞𝐛𝐑𝐓𝐂, 𝐋𝐢𝐯𝐞𝐊𝐢𝐭, 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈, 𝐒𝐈𝐏, 𝐕𝐨𝐈𝐏, 𝐓𝐰𝐢𝐥𝐢𝐨, 𝐏𝐥𝐢𝐯𝐨, 𝐀𝐬𝐭𝐞𝐫𝐢𝐬𝐤, 𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲, 𝐒𝐓𝐓, 𝐓𝐓𝐒, 𝐋𝐋𝐌, 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈, 𝐕𝐚𝐩𝐢, 𝐃𝐞𝐯𝐎𝐩𝐬, 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐔𝐛𝐮𝐧𝐭𝐮, 𝐅𝐅𝐦𝐩𝐞𝐠, 𝐎𝐁𝐒 𝐒𝐭𝐮𝐝𝐢𝐨, 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞, 𝐀𝐈/𝐌𝐋, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐎𝐂𝐑, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐆𝐨𝐥𝐚𝐧𝐠, 𝐀𝐯𝐚𝐭𝐚𝐫, 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧, 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭.