You will get AI Voice agent based on such models as Whisper or 11labs
Top Rated
Project details
What sets me and my project apart is the focus on building AI systems that actually do things—not just generate responses. I combine strong engineering with real product thinking to create voice agents that understand context, handle complex workflows, and take action through API integrations. Instead of a basic “talking bot,” you get a reliable, fast, and fully functional voice agent that feels natural, stays consistent, and fits seamlessly into real business processes.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
BigDL, deeplearn.js, Deeplearning4j, MLflow, Open Neural Network Exchange, OpenCV, PyBrain, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included $30,000
These options are included with the project scope.
$30,000
- Delivery Time 40 days
- Number of Revisions 2
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AA
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MR
May R.
Nov 13, 2024
Python Back end Developer - 7 years+ experience [30-40h/week]
thank you! great work
About Mike
Full-stack AI-Developer with experience in Python, Django, ML and AI
100%
Job Success
Lviv, Ukraine - 6:48 am local time
⭐️⭐️⭐️⭐️⭐️ "Mike did a great job coding a Python/Flask web app, adding AWS integrations, and building AWS CDK code. We’d be happy to work with this freelancer again."
🔥 AI Chatbot, AI Agent Development, AI App development, Chatbot Development, Generative AI, MLOps, Artificial Intelligence, Machine Learning, AI Development, AI Bot 🔥
I have 10+ years of experience in web development and AI-based applications development, in designing and implementing database models, APIs, and views to deliver a dynamic web-based solutions tailored to client specifications.
Proficient in:
📈 implementing deep learning algorithms to analyze historical data and identify patterns and trends;
📊 developing predictive AI models using machine learning techniques based on various input data;
🔐 enhancing report generation efficiency by implementing caching mechanisms, data reuse strategies, and enhancing data security protocols;
🔗 building API handling interfaces to add a layer of abstraction between Product APIs and 100s of customer APIs;
🗂 building efficient record keeping with consistency and scale using a mix of MySQL, MongoDB and PostgreSQL clusters;
🗂 implementing AI chatbots, data extraction, data scraping
⚙️ implementing dev automation using Docker, Jenkins CI, and test automation tools.
Typical Tech-stack includes:
🔹 Python frameworks: FastAPI, Flask, Django, n8n
🔹 Node.js, Express, Fastify, NestJS, Socket.IO, Feathers.js, Meteor.js
🔹 Front-end development: React, Next.js, Vue, Nuxt.js, Angular, JavaScript, TypeScript
🔹 Testing tools: Pytest, unittest, coverage.py
🔹 Scala
🔹 Scrapy
🔹 AWS Cloud stack
DevOps & CI/CD Technologies:
🔩 Docker, Docker Compose
🔩 Kubernetes (EKS, k3s, Minikube)
🔩 Ansible, Chef, Puppet
🔩 GitHub Actions, GitLab CI, Jenkins, CircleCI
🔩 Nginx, Traefik, HAProxy
🔩 Terraform, Pulumi (Infrastructure as Code)
Databases:
📒 Relational: PostgreSQL, MySQL, MariaDB
📒 Search/Analytics: Elasticsearch, ClickHouse, TimescaleDB
📒 NoSQL: MongoDB, Redis, DynamoDB
Tools & Infrastructure:
📀 Git, GitFlow
📀 Monorepo Tools: Nx
📀 API Tools: Swagger, OpenAPI, Postman
📀 Monitoring: Prometheus, Grafana, Sentry
📀 Documentation/Planning: Notion, Confluence, Jira, Trello
📀 K8s Helm Charts
📀 Secrets Management: Vault
Payment Integrations:
💸 Stripe
💸 Mastercard
💸 Google pay
💸 Apple pay
💸 PayPal
💸 Visa
I apply AI across the technology landscape to improve business processes in your application.
Please contact me for an initial consultation and further estimation on your desired product🧑💻
🔥 AI Chatbot, AI Agent Development, AI App development, Chatbot Development, Generative AI, MLOps, Artificial Intelligence, Machine Learning, AI Development, AI Bot 🔥
Steps for completing your project
After purchasing the project, send requirements so Mike can start the project.
Delivery time starts when Mike receives requirements from you.
Mike works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Use-Case Definition
We clarify what the agent should do, who will use it, and what success looks like.
Data & Knowledge Collection
I gather your documents, APIs, workflows, FAQs, and any business rules the agent needs.