You will get Machine Learning and Data Science Solutions with Real World Deployment
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Project details
I build practical machine learning and data science solutions that solve real business problems. My work includes data cleaning, feature engineering, model training, evaluation and deployment as working web applications. I develop prediction systems classification models and analytics tools using Python and modern ML libraries. I can integrate trained models into Flask or API based systems and deploy them for real user usage. My focus is on accuracy reliability and production ready ML solutions not just experiments.
Machine Learning Tools
BERT, ChatGPT, Keras, MLflow, NumPy, pandas, Python, PyTorch, SAS, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 2 | 4 | 6 |
Number of Scenarios | 2 | 4 | 6 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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AC
Andrew C.
Aug 11, 2026
AI Automations and Engineering
BC
Bianca C.
Jul 10, 2026
Build Lightweight AI Career Assessment Chatbot (OpenAI API + Structured Logic + PDF Output)
About Udara
AI Agents | AI Automation | Full Stack AI Applications
100%
Job Success
Kuliyapitiya, Sri Lanka - 10:29 pm local time
I build AI agents, intelligent automation systems, voice AI solutions, RAG applications, and full-stack AI platforms that solve real business problems.
Whether you need an AI agent that can interact with your business tools, an automated workflow that eliminates repetitive work, a voice agent that communicates with customers, or a complete AI-powered SaaS application, I can help you design and build the solution from idea to deployment.
🚀 WHAT I CAN BUILD FOR YOU :
🤖 AI Agents & Agentic Systems
✓ Custom AI agents for business processes and internal operations
✓ Multi-agent AI systems and agent orchestration
✓ Tool-calling agents connected to APIs, databases, and business platforms
✓ AI personal assistants and business assistants
✓ Autonomous and human-in-the-loop AI workflows
✓ LangChain and LangGraph agentic applications
⚡ AI AUTOMATION & N8N WORKFLOWS
✓ AI-powered business process automation
✓ Advanced n8n workflows
✓ CRM, email, Google Workspace, Telegram, database, and API automation
✓ Lead processing and customer support automation
✓ Document and data processing pipelines
✓ LLM-powered workflow automation
✓ Third-party API and webhook integrations
🧠 RAG & KNOWLEDGE-BASED AI
✓ Chat with PDFs, documents, websites, and business knowledge
✓ Company knowledge-base assistants
✓ Document search and question-answering systems
✓ Vector search and semantic retrieval
✓ RAG pipelines with vector databases
✓ AI customer support and internal knowledge assistants
📞 VOICE AI & AI CALLING AGENTS
✓ Inbound and outbound AI voice agents
✓ AI customer support and appointment agents
✓ Real-time conversational AI
✓ Speech-to-Text and Text-to-Speech pipelines
✓ Twilio, Vapi, ElevenLabs, and Deepgram integrations
✓ Voice agents connected to CRMs, databases, APIs, and automation workflows
💻 FULL-STACK AI APPLICATIONS
✓ Complete AI-powered web applications
✓ AI SaaS platforms and MVPs
✓ React and TypeScript frontends
✓ FastAPI, Node.js, and NestJS backends
✓ Authentication, dashboards, admin panels, and APIs
✓ Supabase, PostgreSQL, and MongoDB integrations
✓ AI API integration and production deployment
📊 MACHINE LEARNING & COMPUTER VISION
✓ Classification and prediction systems
✓ NLP and text-processing applications
✓ Computer vision and image-processing solutions
✓ Data preprocessing and feature engineering
✓ ML model training, evaluation, and integration
✓ AI/ML models integrated into production applications
🛠️ TECHNOLOGY STACK
- AI & LLMs: OpenAI, Claude, Gemini, Hugging Face, Transformers, LangChain, LangGraph, RAG, AI Agents, Prompt Engineering
- Voice AI: Vapi, Twilio, ElevenLabs, Deepgram, Speech-to-Text, Text-to-Speech, Conversational AI
- Automation: n8n, REST APIs, Webhooks, Google Workspace integrations, email automation, third-party APIs
- Vector & AI Databases: Qdrant, Pinecone, FAISS, ChromaDB
- Backend: Python, FastAPI, Flask, Node.js, Express.js, NestJS
- Frontend: React.js, JavaScript, TypeScript, Streamlit
- Databases: PostgreSQL, Supabase, MongoDB, MySQL, Firebase
- Machine Learning: TensorFlow, Scikit-learn, Pandas, NumPy
- Cloud & Deployment: AWS EC2, Vercel, Railway, Hugging Face, Firebase
🎯 WHY WORK WITH ME?
I work across both AI engineering and full-stack software development, allowing me to build more than isolated AI prototypes.
I can work across the complete development lifecycle:
Idea → Architecture → AI/Agent Development → Backend → Frontend → APIs → Database → Automation → Deployment
My focus is on building AI systems that are:
✓ Practical and business-focused
✓ Reliable and maintainable
✓ Designed for real-world workflows
✓ Integrated with your existing tools and APIs
✓ Built with clean and scalable architecture
✓ Ready to evolve as your business grows
I have hands-on experience developing AI automation systems, conversational AI, voice agents, RAG applications, full-stack platforms, machine learning solutions, and production-oriented backend systems.
I am also completing my BSc (Hons) in Computer Engineering at the University of Jaffna, Sri Lanka, with a strong focus on Artificial Intelligence, Machine Learning, and Software Engineering.
💡 HAVE AN AI IDEA?
If you are planning an AI agent, AI automation workflow, RAG assistant, voice AI system, AI SaaS product, or full-stack AI application, send me a message.
I can help you determine the right architecture, technologies, and implementation approach — and turn your idea into a working system.
GitHub: UdaraChamidu
Portfolio: udarachamidu.site
Steps for completing your project
After purchasing the project, send requirements so Udara can start the project.
Delivery time starts when Udara receives requirements from you.
Udara works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff and Planning
Requirements are reviewed datasets are checked and the final approach and timeline are confirmed with the client
Model Development and Testing
Data preprocessing, model training, evaluation and validation are completed with regular progress updates