You will get an AI voice agent & virtual receptionist
Top Rated
Project details
Stop losing qualified leads to voicemail or rigid, frustrating legacy IVR menus. I design and deploy production-ready, highly realistic AI Receptionist Agents engineered to manage your front-desk operations 24/7.
What sets this project apart is a deep engineering focus on conversational fluidity and system reliability. Instead of basic keyword matching, these voice agents utilize advanced contextual understanding to handle multi-turn conversations naturally, direct caller inquiries seamlessly to the correct departments, and handle structured message logging or autonomous booking via live API integrations.
Whether you need a dedicated voice bot for qualifying high-value leads or an operational agent deeply integrated into your tech stack (CRMs, Google Calendar, HubSpot, or custom databases), this solution provides an optimal, secure, and responsive customer experience built to maximize enterprise conversion rates.
What sets this project apart is a deep engineering focus on conversational fluidity and system reliability. Instead of basic keyword matching, these voice agents utilize advanced contextual understanding to handle multi-turn conversations naturally, direct caller inquiries seamlessly to the correct departments, and handle structured message logging or autonomous booking via live API integrations.
Whether you need a dedicated voice bot for qualifying high-value leads or an operational agent deeply integrated into your tech stack (CRMs, Google Calendar, HubSpot, or custom databases), this solution provides an optimal, secure, and responsive customer experience built to maximize enterprise conversion rates.
AI Development Type
Deep Learning, Model TuningAI Tools
PyTorchAI Development Language
PythonWhat's included $95
These options are included with the project scope.
$95
- Delivery Time 6 days
- Number of Revisions 7
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Ontology
- Source Code
- Taxonomy
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About Eyasu
PhD in AI | Machine Learning Engineer| AI Engineer | RAG | AI Agents
100%
Job Success
Addis Ababa, Ethiopia - 9:21 pm local time
From LLMs and AI agents to RAG, computer vision, and edge AI, I transform AI concepts into reliable, production-ready solutions.
As a PhD Candidate in Artificial Intelligence and hands-on AI Engineer, I combine advanced AI research with practical engineering to deliver systems that perform beyond the prototype stage.
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🤖 WHAT I BUILD
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▸ AI Agents & Agentic Workflows
▸ Retrieval-Augmented Generation (RAG) Systems
▸ AI Assistants & Intelligent Chatbots
▸ LLM Fine-Tuning & Custom AI Models
▸ Multimodal AI Applications
▸ Computer Vision Systems
▸ OCR & Document Intelligence Solutions
▸ Edge AI & Embedded Intelligence
▸ Custom Machine Learning Solutions
▸ AI-Powered Automation Workflows
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⚙️ WHAT I SPECIALIZE IN
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→ End-to-End AI Development
Research, experimentation, prototyping, deployment, and continuous improvement.
→ Production AI & MLOps
Model deployment, API development, Docker, CI/CD pipelines, monitoring, and scalable infrastructure.
→ AI Optimization & Efficiency
Model compression, quantization, pruning, latency reduction, and efficient inference for resource-constrained environments.
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🚀 FEATURED PROJECT
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NemaNet — Embedded AI for Plant-Parasitic Nematode Detection
Founder and lead AI engineer behind an AI-powered agricultural computer vision system optimized for embedded devices.
Designed, trained, optimized, and deployed deep learning models for accurate, real-time detection on resource-constrained hardware, transforming research into a practical field-ready solution.
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🛠 TECHNOLOGIES
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Programming:
Python • SQL
AI & Deep Learning:
PyTorch • TensorFlow • Hugging Face • Transformers • OpenCV • Scikit-learn
LLMs & Agentic AI:
LangChain • LangGraph • LlamaIndex • OpenAI • Ollama • vLLM
Backend & Deployment:
FastAPI • Docker • Kubernetes • REST APIs • Git • CI/CD
Vector Databases:
FAISS • Pinecone • Qdrant • ChromaDB
Cloud Platforms:
AWS • Azure • GCP
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🎯 WHY CLIENTS WORK WITH ME
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✓ Research-backed AI expertise combined with production engineering experience.
✓ Ability to take projects from initial idea and experimentation to deployment.
✓ Experience building LLM, RAG, Agentic AI, Computer Vision, and MLOps solutions.
✓ Focus on reliable, scalable, and cost-efficient AI systems.
✓ Clear communication and engineering practices designed for long-term success.
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If you need an AI engineer who can bridge advanced AI research with production-ready engineering, I would be happy to discuss your project and help turn your ideas into scalable AI solutions.
Steps for completing your project
After purchasing the project, send requirements so Eyasu can start the project.
Delivery time starts when Eyasu receives requirements from you.
Eyasu works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Mapping & Script Design
We analyze your existing call workflows, design a comprehensive conversational flow chart, and finalize the agent's tone, voice selection, and technical prompt guardrails.
Core Prompt Engineering & Agent Assembly
Building out the core voice agent using industry-standard telephony frameworks (such as Vapi, Retell AI, or Bland AI), tuning parameters for minimal latency and human-grade responsiveness.