Real Time AI Contact Center Platform

@juanjosec63

Hi, I’m available to start right away. I have strong experience with Asterisk, VoIP, Docker, Kubernetes, microservices, real-time audio streaming, speech-to-text, NLP orchestration, speech synthesis, and observability stacks like Prometheus and Grafana, and I can help build a production-grade contact-center platform with low-latency bidirectional voice flow, barge-in support, operator escalation hooks, and scalable cloud-agnostic deployment. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@tejoel

With over two decades of experience under my belt, I bring a unique amalgamation of skills to the table that are perfectly aligned with your project needs. Having not only installed and configured various VoIP systems including Asterisk but also developed web applications with frameworks like Laravel and Vue, I possess the ideal blend of technicalities and problem-solving mind for your project. Additionally, my proficiency in Linux administration and AWS optimization can ensure your platform remains cloud-agnostic and seamlessly scalable. Further highlighting my expertise in artificial intelligence, I have avidly worked with language models and have experience designing real-time audio interfaces, in-line with your AI speech synthesis requirements. My Python scripting skills would come in handy for load-testing as well. To monitor the health of your system precisely as desired, I am experienced in setting up observability solutions using Prometheus/Grafana dashboards, log/trace exporters that align with your needs.

@irsolutions

I understand your need for a production-grade, real-time contact-center platform running on Asterisk v18/21, capable of handling both inbound and outbound calls with low conversational latency. With my extensive experience in AI/ML development and high-security FinTech solutions, I am well-equipped to tackle the complexities of this project. My expertise in delivering scalable MERN solutions and blockchain projects can be the perfect transferable skill bridge to meet your specific requirements in this unique industry niche. To approach your requirements strategically, I propose implementing a real-time AI dialog orchestration engine with barge-in support, coupled with a robust API/SDK for campaign management and operator escalation. My past successes in developing blockchain projects and serving over 1 million users with Telegram Mini Apps showcase my ability to handle the intricacies of such a high-demand system. I encourage you to reach out to discuss the roadmap further. Let's collaborate to bring your Real Time AI Contact Center Platform to life seamlessly.

@markop815

Hello , I’m excited about your AI-powered contact center project. With my experience in Asterisk, real-time audio, and AI, I can help you build a scalable platform that meets your goals. Scope & Plan: 1. Asterisk-Based Micro-Service Stack Setup Asterisk for scalability in Docker/K8s Time: 2 weeks | Cost: $1,500 2. Real-Time AI Dialog Engine with Barge-In Implement speech recognition, NLP, and synthesis with low latency Time: 3 weeks | Cost: $2,000 3. API/SDK for Campaign Management & Reporting Develop API for campaign creation and operator escalation Time: 2 weeks | Cost: $1,000 4. Observability & Load Testing Integrate Prometheus/Grafana for monitoring, load test Time: 1 week | Cost: $500 5. Documentation & Handoff Deployment guide and system architecture Time: 1 week | Cost: $500 Total: Time: 2 months | Cost: $5,000 Given the budget, this plan focuses on core features for the MVP. Let me know if this works for you! Best,

@edwarddzi8f

Hi! I can help you with building this real-time AI contact center platform on Asterisk. The architecture I'd go with is a containerized microservice stack where Asterisk handles the SIP and media layer, with a separate AI orchestration service managing the STT, NLU, and TTS pipeline over full-duplex audio streams. Barge-in support means careful VAD tuning and session state management so context isn't lost mid-utterance. I'm Edward, 10+ years building server-side systems and I've worked with VoIP and real-time audio pipelines before. The observability stack with Prometheus and Grafana is something I've set up many times. Let me know if you want to discuss the architecture approach.

@Kashifscode

Hi, I am senior web app developer with 7 years of experience in Docker, Voice Talent, Speech Synthesis, Asterisk PBX, Audio Services, Natural Language Processing, VoIP and Microservices. I 've checked your project detail and understood what you want. I can also support both app design and development. I would like to have a brief chat or meeting with you very soon to finalize our project plan. Thank you Kashif.

@matheussilva114

Hi, I have checked the details. I am a senior engineer with over 7 year of experience on Audio Services, Asterisk PBX, Voice Talent, VoIP, Docker, Microservices, Natural Language Processing, Speech Synthesis. Please visit my profile to view my latest projects, certificates, and work history. Best, Matheus Thank you, Matheus

@softsolution2000

I understand your requirements for a real-time AI contact center platform running on Asterisk v18/21. The platform needs to handle inbound/outbound calls with low latency, AI layer for speech recognition, and barge-in support. It must be scalable, provide operational visibility, and fit seamlessly into existing CI/CD pipelines. I have extensive experience in Asterisk, real-time audio, and AI voice applications. If awarded, I will ensure the project is delivered within budget and with the highest quality. Your satisfaction is my priority. Let's discuss further details and get started. Please review my 15-year-old profile for reference. Looking forward to your response.

@OutsourceMan

⭐⭐⭐⭐⭐ Kubernetes ⭐⭐⭐⭐⭐ Prometheus/Grafana ⭐⭐⭐⭐ Asterisk ⭐⭐⭐ Natural Language Understanding ⚡Real-time Audio Experience Hello! I'm Raman from CnELIndia, and I am honored to present my team's skills in a way that can perfectly serve your project. With exhaustive knowledge in Asterisk and a solid command over Kubernetes, we are well-equipped to deliver the high-performing real-time AI contact center platform you seek. Moreover, our expertise in metric monitoring with Prometheus/Grafana coupled with Ajax-powered log and trace exporters fits perfectly with your requirements for operational visibility. Our unique forte is our deep understanding of system performance and our proven record of meeting or exceeding uptime. Rest assured that our solution will not require any manual tweaking, making it incredibly user-friendly for you. Furthermore, our understanding of Docker and K8s will enable us to deliver a fully operational micro-service stack that internally liaisons between organic Asterisk components along with the proposed UI. Lastly, as someone who truly respects the efficiency of time and efforts required, I promise you an easily-scalable cloud-agnostic architecture within your CI/CD pipeline.

@hayleyc27

With my diverse background in programming, data science, and full-stack development, I am confident that I can bring your AI-powered contact center platform to life. My extensive knowledge of Python, C, and C++ aligns well with the technical requirements of this project, especially the need for an Asterisk-based contact-center micro-service stack running on Docker or Kubernetes. To ensure low-latency, high-performing call functionality, my real-time audio experience will allow me to handle challenges efficiently. From implementing audio messaging systems to conducting seismic analysis using C#, I possess the valuable skills necessary to create a robust real-time AI dialog orchestration system for smooth caller interactions. Beyond technical proficiency, I bring a strong commitment to the project's success. My track record as an AWS-certified professional solutions architect underscore my dedication to scalability and resilience in cloud-based systems. Additionally, my ability to develop clean code that fits seamlessly into existing CI/CD pipelines will make for efficient deployment while ensuring continuous uptime. Choosing me for this project would not just provide you with a solution but also peace of mind knowing that it will meet or exceed all your outlined acceptance criteria.

@johibkhan

Hi, As a seasoned developer with an impressive portfolio and a rigurous 15 years of experience under my belt, including stints at Avaya, Pramati, and CGI, among others, I have specialized in developing high-performance systems which can cycle through a high volume of tasks without compromising on quality or user-experience. My long-term commitment to tackling complex projects with precision aligns perfectly with your requirements for the Real-Time AI Contact Center Platform. Your project somehow becomes tailor-made for me as my core strengths - efficient coding and low-latency performances - will be crucial to create the solution you desire. My similar work experience includes developing robust trading and fintech platforms as well as constructing AI/ML algorithms that proficiently handle real-time data feeds. Moreover, I see this project as an exciting opportunity to not only leverage my deep understanding of Asterisk platform knowledge but also showcase my skills in architecture design, API integration, AWS services, and backend development. I am confident that I can deliver the complete contact-center micro-service stack mentioned in the project description while addressing all your specific needs. Let's talk about how we can make this Real-Time AI Contact Center Platform an incredible reality together!

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@alizain721

Asterisk v18/21 and a hard ≤800 ms p95 at 300+ sessions is exactly the kind of delivery challenge I live for. Barge-in with full-duplex streaming and context continuity is doable, but only if the audio path and model inference are co-designed. One thing you didn’t call out: aggressive partial-hypothesis streaming plus Opus and tight jitter-buffer/e2e clock sync are required to make barge-in feel instant without breaking context when packets jitter or CPU spikes occur. I recently delivered a production contact-center on Asterisk 18: WebRTC/Opus SIP bridging, Vosk streaming ASR + Tacotron-style neural TTS on Kubernetes, Prometheus/Grafana observability, and load tests proving ~720 ms p95 at 350 concurrent calls. It included an API for campaign control and operator takeover. My approach: build a microservice stack (audio broker, dialog orchestrator, ASR/NLU/TTS pipelines) in Docker/K8s, stream partial ASR results for immediate NLU, expose gRPC/REST SDK for campaign/operator flows, and integrate Prometheus/Grafana plus sipp-based load tests. I’ll keep everything cloud-agnostic and CI/CD friendly, with clear hooks for horizontal scaling. Can we jump on a 20-minute call to review your existing infra and timeline? Quick question before that: do you prefer on-prem ASR/TTS or cloud models, and will GPUs be available for inference? Regards, Zweidevs

@SmartCodeDev

Hello. I’ve worked on real-time voice systems with Asterisk and low-latency audio pipelines, including AI-driven call flows with barge-in and full-duplex streaming. I can design a microservice-based architecture using Docker and Kubernetes with a scalable media layer, async event bus, and a real-time orchestration engine for speech-to-text, NLU, and text-to-speech. The system will maintain sub-800 ms p95 latency through streaming APIs, efficient buffering, and optimized audio routing while supporting 300+ concurrent sessions. I’ll expose clean APIs for campaign control, operator takeover, and reporting, keeping everything modular and cloud-agnostic for AWS or on-prem deployment. Observability will be fully implemented using Prometheus and Grafana with structured logs and tracing for full visibility. I’ll also provide load testing scripts, soak testing validation, and complete deployment documentation for a smooth handoff.

@indreshpnk

Hello, I understand you need a production-grade real-time contact-center platform on Asterisk v18/21 with ≤800ms latency at 300+ sessions. The goal is to deliver a scalable, AI-powered, low-latency solution with seamless voice interactions. Here’s what I can provide: Asterisk-based microservice architecture with Docker/K8s ensuring scalability and cloud-agnostic deployment Real-time AI orchestration layer with STT, NLU, TTS and smooth barge-in with context continuity Complete observability stack (Prometheus, Grafana, logs, tracing) with APIs for campaigns and operator escalation I bring over 4+ years of experience in Asterisk, VoIP, Docker, and AI integrations, building scalable, real-time communication systems with strong focus on performance and reliability. Just to clarify a few things: Do you have preferred STT/TTS providers or should I propose low-latency options? Will this integrate with an existing CRM or operate as a standalone system? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@sekai1116

✅ Nice to meet you here ✅ I am excited about the possibilities your Real-Time AI Contact Center Platform project presents. Over the past 8 years, I have honed my technical skills extensively, including deep Asterisk knowledge that will be invaluable in creating your contact-center micro-service stack. Additionally, I have a proven track record of agilely building cloud-native architectures and scalable digital platforms to meet high-traffic demands. My proficiency in Docker and Kubernetes further assures your project's smooth integration. Your AI requirements align perfectly with my skill set: I have overseen the development of complex conversational AI applications utilizing natural language processing (NLP), speech synthesis and recognition, and integrating ML models for tasks like automation and decision-making. My background includes creating high-performance applications for diverse industries+ which will also be a great help familiarizing me with the operational visibility demands of your specific project. Lastly, my commitment to clean coding and delivering projects on time will ensure a seamless contribution to your existing CI/CD pipeline. Harnessing containerization, DevOps, and my familiarity with Prometheus/Grafana for observability, I aim not only to meet but exceed your expectations in delivering your project on time. Engage me to turn your vision into an operational reality!

@benny307

I believe my credentials strongly align with your unique requirements for this project. Leveraging my expertise in real-time audio, AI-first system design, and Large Language Model (LLM) applications, we can push the boundaries of what your contact center platform can achieve. I've already executed dialog orchestration engines with barge-in support that capture and retain context seamlessly like you require. My experience extends to designing high-performance, scalable AI systems, that seamlessly interface with different APIs and libraries such as OpenAI APIs, PrometheusExporter/GrafanaDashboard amongst others for the sort of operational visibility you desire. Given my track record in delivering secure, fault-tolerant software solutions at scale as well as preserving conversational latency under demanding conditions, I'm confident that my contribution to this project will be transformative. Together, we'll not only meet but exceed your uptime expectations. My hand-off document will make it easy for you to maintain project compatibility across different environments so scaling won't necessitate heavy refactoring. Let's make this Real Time AI Contact Center Platform a game-changing reality!

@asadamyn

For your platform, I will design a production grade architecture built around Asterisk using ARI for full programmatic control. The system will be structured as a microservice based stack using Docker and Kubernetes, ensuring horizontal scalability and cloud agnostic deployment. The AI layer will be built as a real time orchestration engine that handles speech recognition, natural language understanding, and speech synthesis with full duplex streaming. This will allow natural barge in, smooth interruption handling, and strong context retention across conversations while keeping latency within your target threshold. I will expose clean APIs and SDKs for campaign management, operator takeover, and reporting so your team can easily extend and control the system. The platform will also include a complete observability layer with structured logs, metrics, and distributed tracing, along with dashboards for real time monitoring and performance tracking. To meet your performance requirements, I will include load testing scripts and optimization strategies to ensure the system maintains under 800 milliseconds latency at the ninety fifth percentile with more than three hundred concurrent sessions. The architecture will be designed to maintain high availability and meet your uptime goals. The entire solution will be delivered with proper deployment documentation and will integrate cleanly into your CI and CD pipeline without requiring major changes.

@revival786

Greetings! I looked at your Asterisk contact-center platform project. You need a real-time system with AI speech recognition, NLU, barge-in, low latency under 800ms at 300+ concurrent calls, and full observability. I provide VoIP and AI telephony development services. I will build a Docker/K8s micro-service stack with Asterisk v18/21. The AI engine will handle full-duplex audio streaming, barge-in, and context retention. APIs for campaign management, operator escalation, and reporting will be included. Prometheus/Grafana dashboards and structured logs will provide full visibility. Load-test scripts will prove latency targets. The solution will be cloud-agnostic — run on-prem or AWS. Send me your existing Asterisk config and any AI service preferences (Deepgram, ElevenLabs, etc.). Thanks, Revival