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We are developing an omnichannel automated outreach and inbound conversational SaaS platform using React, [login to view URL], and Node.js. Our platform seamlessly connects a real-time conversational voice bot ecosystem with bulk WhatsApp and email marketing engines. Our SaaS platform frontend is already completely designed and built. The backend real-time architecture is functional, but we need an experienced engineer to make surgical improvements to our existing functionalities. You will optimize the system for ultra-low latency, implement flawless voice interruption mechanics using LiveKit, Vobiz SIP, and Sarvam AI, and deploy our bulk messaging features. Technical Challenges & Scope of Work 1. Voice Bot Optimization (LiveKit + Vobiz + Sarvam AI) [1] • Stream & Pipeline Piping: Optimize the existing voice pipeline using the LiveKit Agents framework. Convert our voice flow (using Vobiz SIP, Sarvam STT/TTS, and Groq LLM) into an end-to-end chunk-streaming architecture to eliminate the current 4–7 second delay. [1, 2, 3, 4] • Barge-In & Interruption Handling: Resolve the broken "pipeline busy → buffering utterance" logic. Use LiveKit's turn-taking engine and Voice Activity Detection (VAD) to build a cancel-and-restart flow. It must instantaneously flush audio buffers and kill in-flight API generations the millisecond a user speaks. [1] • Memory Management: Fix backend EventEmitter memory leak warnings, clean up stale WebSocket/RTP event listeners, and completely prevent old utterances from replaying out of sync. 2. Bulk WhatsApp Business API Integration • Campaign Engine: Modify existing functionality to support contact database uploads, triggering automated bulk campaigns, and sending outbound messages via the WhatsApp Business API using Virtual IP numbers. • Flow Triggers: Connect incoming WhatsApp user replies to automatically trigger outbound conversational AI voice calls or programmatic follow-ups based on keywords. • WhatsApp Analytics Dashboard: Link performance metrics to our frontend, showing data on total messages sent, delivered, opened, and active conversation reply rates. 3. Bulk Email & AI Agent Conversational Flow [1] • Database Blasts: Support contact database uploads for massive bulk email outreach campaigns. • Inbound AI Conversations: Wire the conversational AI backend to scan incoming email responses and automatically continue the conversation over text threads. • Draft Approval Mode: Update the existing dashboard controls to add a global toggle switch. When enabled, incoming AI-generated email responses are saved straight to the user's email drafts folder for manual human review before sending. • Email Analytics Dashboard: Fully connect backend event metrics to our frontend dashboard to monitor real-time email delivery states, open rates, click-through rates, and active AI thread statuses. Technical Stack & Requirements • Core Frameworks: LiveKit SDK & Plugins (livekit-agents, @livekit/agents-plugin-sarvam), [login to view URL], and Node.js streams. • Telephony & Media: Vobiz SIP trunks, WebSockets, RTP packet streaming, and low-latency audio buffer manipulation. • AI Ecosystem: Groq API, Sarvam AI Bulbul (TTS) & Saaras (STT) models. • Omnichannel APIs: WhatsApp Business Cloud API, Meta developer ecosystem, SMTP, and IMAP protocols. [1, 2, 3] Expected Deliverables • Near real-time conversational voice latency with immediate barge-in response using LiveKit. • Backend modifications that connect to our pre-built frontend UI dashboards for both WhatsApp and Email metrics. • Working draft approval toggle infrastructure for automated email responses. • Production-ready refactored backend code and clean implementation documentation. [1, 2, 3] When Applying Please Include 1. Deployed examples of real-time voice bots utilizing LiveKit along with telephony integrations. 2. Your technical approach to implementing stream buffer flushes on customer barge-in inside Node.js. 3. Your experience linking bulk campaign metrics from WhatsApp Business and Email protocols to an existing React frontend. 4. Your estimated timeline and budget for updating these backend functionalities. [1, 2, 3] Proactive Next Steps To speed up onboarding once you choose a freelancer, would you like me to: • Outline the exact LiveKit agent configuration object needed to stream Sarvam TTS and STT simultaneously? • Structure the API schema required to push real-time email dashboard metrics directly to your existing React frontend? • Write a conceptual Node.js middleware script showing how the email draft approval toggle intercepts the LLM output?
Project ID: 40488015
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32 freelancers are bidding on average ₹9,384 INR for this job

Hi, This project aligns strongly with my experience building real-time AI platforms, conversational systems, scalable Node.js backends, API integrations, and production-grade SaaS applications. • Optimize LiveKit voice pipelines using chunk-based streaming to significantly reduce latency and improve real-time response performance • Implement robust barge-in/interruption handling with VAD, stream cancellation, and immediate restart workflows • Resolve EventEmitter memory leaks, stale WebSocket listeners, and audio synchronization issues • Integrate and enhance WhatsApp Business API campaign workflows, contact management, automation triggers, and analytics tracking • Build bulk email campaign infrastructure with inbound AI conversation handling and draft approval workflows • Connect backend metrics seamlessly with your existing React dashboards for real-time reporting and monitoring • Improve scalability, reliability, and maintainability of the existing Node.js/Express architecture I can quickly review the current implementation, identify bottlenecks, and deliver focused backend improvements without disrupting your existing frontend architecture. Available to start immediately.
₹15,000 INR in 7 days
4.5
4.5

Having mastered Node.js and with 9+ years of experience in web development, I believe in seeing your project through from ideation to execution. This hands-on experience has equipped me with an array of skills and expertise that would effectively meet the challenges indicated in your project description. My deep proficiency in backend operations, utilization of LiveKit with telephony integrations, through to front-end dashboard development makes me a fitting candidate for this undertaking. Regarding buffering and barge-in mechanics, I propose a highly-responsive stream & pipeline piping using LiveKit. I would leverage the power of Vobiz SIP, Sarvam STT/TTS, and Groq LLM to establish an end-to-end chunk-streaming model that guarantees ultra-low latency by eliminating current 4-7 second delays. With precise implementation of LiveKit's turn-taking engine and Voice Activity Detection (VAD), the system will be equipped with instantaneous flushing mechanisms and automated API termination when a user speaks. In optimizing the Bulk WhatsApp Business API Integration, I will adapt the existing functionalities to support contact database uploads thereby allowing automated bulk campaigns as well as automatized responses based on keywords. This is facilitated through my in-depth understanding of using Virtual IP numbers coupled with a knack for creating cohesive UX/UI designs. Finally, I will ensure effective integration with backend metrics for comprehensive analytics ens
₹15,000 INR in 7 days
4.4
4.4

Hello, I hope you are doing well. My name is ⭐⭐Jaroslav⭐⭐ and I have extensive experience building and optimizing real-time AI communication platforms using Node.js, WebSockets, telephony integrations, LLMs, and omnichannel automation workflows. I have worked on projects involving low-latency voice agents, SIP-based calling systems, streaming STT/TTS pipelines, WhatsApp automation, email engagement systems, and analytics dashboards connected to existing frontend applications. For your platform, I can optimize the LiveKit voice pipeline into a true streaming architecture, implement reliable barge-in handling with immediate buffer flushing and generation cancellation, eliminate memory leaks and stale listeners, and improve overall voice responsiveness. I can also integrate WhatsApp Business campaign management, automated trigger flows, email outreach automation, draft approval workflows, and real-time analytics synchronization with your React frontend. My approach focuses on scalable architecture, clean backend code, stable event handling, and production-ready performance. Your project aligns closely with my background, and I would be glad to discuss the existing implementation and contribute to the next phase of development. I look forward to hearing from you.
₹7,000 INR in 7 days
3.2
3.2

Hi, I have 9+ years of experience building and optimizing Node.js backend systems, real-time applications, API integrations, microservices, and scalable cloud infrastructure. Your project appears to already have the core architecture in place, and the focus is on improving performance, stability, and existing functionality rather than building from scratch. I can help with: • Reducing latency across the voice processing pipeline • Investigating and fixing EventEmitter memory leaks and listener cleanup issues • Optimizing streaming and WebSocket communication flows • Building and improving WhatsApp campaign workflows • Integrating campaign analytics with the existing frontend • Implementing email automation and draft approval workflows • Connecting backend metrics to dashboard components • Production hardening and deployment support A few questions: • What is the current average latency breakdown between STT, LLM processing, and TTS generation? • Are WhatsApp campaign services already partially implemented, or will they be built from the ground up? • What is the current deployment environment (AWS, GCP, Azure, or self-hosted)? I would be happy to review the existing architecture and identify the highest-impact improvements before development begins. Regards, Neha
₹12,500 INR in 7 days
2.9
2.9

With years of experience under my belt, I've become your ideal candidate for tackling the core functionalities of your SaaS platform. My proficiency in LiveKit and Vobiz, combined with an understanding of Sarvam's AI capabilities, will enable us to create a streamlining and transformation process for your real-time conversational voice bots. Being familiar with bulk messaging technologies such as WhatsApp Business API and email marketing engines, I understand the need for seamless communication across multiple channels. Specifically, I'll realign your system for contact database uploads and automate WhatsApp triggers based on keywords. This not only allows you to ramp up your reach but also ensures the AI backend keeps conversations alive through email. My track record demonstrates a focus on full-stack application development and automation, as well as third-party integrations - all of which are critical in addressing your project's requirements.
₹7,500 INR in 8 days
2.9
2.9

We are an experienced full-stack engineering team specializing in real-time voice systems and omnichannel SaaS platforms built on React, Node.js, and Express. We have hands-on experience optimizing low-latency conversational pipelines using LiveKit, SIP integrations, WebRTC, and streaming LLM architectures. We can address your key challenges: (1) redesigning your voice pipeline into true chunk-streaming to eliminate 4–7s latency, (2) implementing robust barge-in using VAD with instant audio buffer flush and cancellation of in-flight STT/LLM/TTS requests, and (3) fixing EventEmitter leaks and RTP/WebSocket desync issues. We also build scalable WhatsApp Business and email campaign systems with real-time analytics, inbound-triggered AI flows, and draft-approval pipelines. We focus on production-grade, observable, low-latency systems with clean architecture and measurable performance improvements.
₹7,000 INR in 7 days
2.1
2.1

Hello, I can help optimize your existing voice AI and omnichannel automation backend with LiveKit, Vobiz SIP, Sarvam STT and TTS, Groq, WhatsApp Business API, email automation, and React dashboard integration. I understand this is a surgical backend improvement project, not a rebuild. My first focus would be reducing the current 4 to 7 second voice delay by moving the voice flow into a true chunk streaming pipeline using Node.js streams and LiveKit agents. For barge in, I would implement a cancel and restart flow where VAD detects user speech, flushes active audio buffers, stops pending TTS playback, cancels in flight LLM generation, and prevents old utterances from replaying out of sync. I can also fix EventEmitter memory leak warnings, clean stale WebSocket and RTP listeners, connect WhatsApp campaign delivery metrics, trigger AI voice or follow up flows from replies, and wire email campaign analytics into your existing dashboard. For the email agent, I can implement the draft approval toggle so AI responses are saved as drafts when human review is enabled. I have experience with Node.js, Express, real time APIs, WebSockets, LLM integrations, messaging workflows, campaign metrics, and production backend refactoring. I can review your current architecture first, then deliver clean backend changes with documentation and testing notes. Best regards Ankit
₹5,000 INR in 1 day
2.3
2.3

Hi, I can handle all three workstreams. The 4-7s latency is a chunk streaming issue — I will restructure the pipeline to stream TTS audio as generated, reducing latency to under 800ms. Barge-in will use LiveKit VAD with immediate buffer flush and in-flight API cancellation. Memory leaks and stale utterance replay will be fully cleaned up. For WhatsApp and Email: bulk campaign engine, keyword-triggered voice follow-ups, and dashboard analytics — all straightforward extensions on the existing backend. LiveKit, livekit-agents, Sarvam, Vobiz SIP, Node.js streams — all in my active stack. Can you share the codebase so I can confirm timeline?
₹10,000 INR in 5 days
0.0
0.0

Hi there! ? I've carefully reviewed your AI-powered application requirements and I'm confident I can deliver exactly what you need. **Why I'm the right fit:** • Built AI-powered applications using OpenAI GPT, LangChain, and custom ML models • Experience with NLP, computer vision, recommendation systems, and chatbots • Deployed production AI systems serving thousands of users **My approach to your project:** 1. **Discovery & Planning** — I'll start by understanding your exact requirements, target users, and design preferences 2. **Architecture & Design** — Clean, scalable architecture with modern best practices 3. **Development** — Iterative development with regular demos and feedback loops 4. **Testing & QA** — Comprehensive testing including unit tests, integration tests, and user acceptance testing 5. **Deployment & Support** — Full deployment assistance and post-launch support **What you'll get:** • Clean, well-documented, maintainable code • Responsive design that works on all devices • Secure implementation following industry best practices • Timely delivery with daily progress updates • 30-day free bug-fix support after delivery **Relevant skills:** software development I'd love to discuss your vision in detail. Let's connect and make this happen! Best regards
₹7,000 INR in 10 days
0.0
0.0

Hey there! Confident in my ability to optimize your voice bot pipeline using LiveKit + Vobiz + Sarvam AI for ultra-low latency. Your project's focus on clean, professional automation aligns perfectly with my skills. I specialize in enhancing real-time architectures and integrating bulk messaging features seamlessly. I'm the right fit for this project with my commitment to speedy communication, fast turnaround times, and building long-term client relationships. I am available for a quick call! Regards,
₹6,250 INR in 7 days
0.0
0.0

The barge-in "pipeline busy → buffering utterance" logic breaking interruption handling, and the EventEmitter memory leaks causing stale audio replay — these are exactly the kind of backend issues we're built for. We've optimized real-time Node.js voice pipelines on SaaS products, cutting latency from multi-second delays down significantly. Also built WhatsApp Business API bulk campaign flows with delivery/read analytics dashboards wired to React frontends. For your scope: LiveKit agents stream refactor for chunk-streaming, VAD-based cancel-restart flow, and WhatsApp/email metric wiring to your existing React UI — ~3 weeks in phased milestones. Budget: INR 12,000. Ping me and we can walk through your existing pipeline to confirm scope and timeline.
₹12,000 INR in 21 days
0.0
0.0

I'd love to dive into this exciting project - an omnichannel automated outreach and conversational SaaS platform using R. One concrete technical insight that stands out to me is defining reliable workflow boundaries, memory, and fallback behavior so the system keeps producing useful outputs over time. This is crucial in a system that integrates multiple channels like LiveKit, Vobiz, Sarvam, WhatsApp, and Email. Given my experience with jarvis ai - a personal automation assistant that orchestrated 30+ automated workflows across scraping, system actions, and API-driven automation, I'm confident in my ability to design a modular system with clear agent boundaries. I built Jarvis AI to handle complex workflows, speech-to-text, and LLM summarization, which maps well to the delivery risk in this job. My execution plan involves working closely with the team to understand the system's requirements and defining a modular workflow code with clear config or prompt structure, logging, and fallback handling. I'll also provide a README and demo-ready flow to ensure a smooth handover.
₹8,300 INR in 7 days
0.0
0.0

Hello, As your SaaS platform has already reached an advanced stage of development, my expertise in streamlining operations is a perfect fit for your project. I have a proven track record employing AI systems and integrated workflows that compound operational efficiency over time—exactly what you need in optimizing voice bots using LiveKit, Vobiz, and Sarvam AI for your ultra-low latency requirements. My technical know-how extends to deep backend optimizations - I can ensure your voice pipeline's instantaneous buffering while eliminating delays using my experience with LiveKit Agents framework. Additionally, I can deploy efficient memory management approaches and skillfully handle interruptible flows by integrating LiveKit's turn-taking engine and Voice Activity Detection (VAD) into the system. Another significant area where I can add value is bulk messaging via WhatsApp Business API as well as email campaigns with integrated AI conversational flow. My proficiency with the technologies involved (such as Virtual IP numbers, IMAP/SMTP protocols) guarantees effective flow triggers, campaign handling, and insightful performance analytics through complete integration of backend event metrics with frontend dashboards. All in all, my end -result-focused approach along with the ability to think beyond code-writing makes me the perfect fit for your project. Let’s discuss further how we can optimize your platform together! Best Regards, Habib Ullah.
₹7,000 INR in 7 days
0.0
0.0

With your need for a seasoned engineer to enhance your existing conversational platform, you can trust my team and I. Podcasters and VoIP enthusiasts revere LiveKit's Voice Activity Detection (VAD) capabilities, and proper integration of this technology swiftly eradicates the worrying voice buffering delay users presently face. With our expertise in Node.js streams and telephony media like Vobiz SIP trunks and RTP packet streaming, we'll manicure your voice flow into a seamless chunk-streaming architecture with ultra-low latency. Rest assured, we'll diagnose and promptly resolve any backend EventEmitter memory leak warnings ensuring an integrated, virtually delay-less system. Our technical proficiency extends not just to optimizing voice bots, but also managing bulk outbound campaigns with WhatsApp's Business API and email server analysis. We fully comprehend your need to track key metrics like message delivery status and keyword triggers on WhatsApp. Moreover, our skills in IMAP protocols will allow automatic screening of inbounds emails for continued conversation over text threads – providing tremendous efficiency! Combining all these services stands as a forensic display of our technical strength, breadth of skill and ability to communicate.
₹7,000 INR in 7 days
0.0
0.0

This Project caught my eye, so I had to reach out. Your need for optimizing voice bot interruption handling and integrating bulk messaging aligns perfectly with my expertise. With over 10+ years of crafting sleek web, game, and brand solutions, I specialize in real-time architecture enhancements, AI integrations, and user-friendly interfaces. New to Freelancer, yet backed by over 10+ years of crafting sleek web, game, and brand solutions. Let’s create something exceptional together. I would love to chat more about your project! Regards, Marco Agrela
₹6,250 INR in 7 days
0.0
0.0

I reviewed the requirements, especially the real-time voice bot optimization, WhatsApp campaign engine, email outreach flow, and dashboard metric connections. This is a highly technical backend improvement project, so I would first review the existing architecture, current latency points, API flow, and how the React frontend is already receiving data. I can help with backend/API improvements, integration flow, dashboard data connection, and testing the existing functionality so the platform works more reliably. A few questions before discussing timeline: • Is the current backend code already stable and deployed? • Which part is highest priority: voice latency, WhatsApp campaigns, or email automation? • Do you have API credentials and test environments ready for WhatsApp, email, and voice services? Once I review the current setup, I can suggest a practical improvement plan. Best Regards, Md Yunus Ali Full Stack Developer
₹8,000 INR in 7 days
0.0
0.0

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