You will get Machine Learning and Data Science Solutions with Real World Deployment
Rising Talent
Rising Talent
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 |
About Herath Mudiyanselage
AI Engineer | AI Automation | Full Stack Developer
Kuliyapitiya, Sri Lanka - 1:58 am local time
I specialize in building practical AI powered applications that combine modern web development with Generative AI, LLMs, RAG pipelines, AI agents, voice technologies, NLP, and production ready backend systems.
My main focus is helping clients turn ideas into real working systems such as AI chatbots, customer support assistants, document based RAG assistants, voice AI applications, workflow automation tools, SaaS platforms, and intelligent web applications.
What I Can Help You Build:
• Custom AI chatbots for websites, businesses, documents, and customer support
• RAG based assistants using PDFs, websites, knowledge bases, videos, and business data
• AI agents and automation workflows using LangChain, LangGraph, n8n, and API integrations
• Voice AI systems using speech to text, text-to-speech, and real time conversation flows
• NLP applications for text analysis, classification, summarization, and information extraction
• Full stack AI web applications using React, FastAPI, Node.js, NestJS, and MERN stack
• Machine learning models for classification, prediction, data analysis, and automation
• Computer vision and image processing solutions for real-world AI use cases
• SaaS style platforms, dashboards, admin panels, and scalable backend APIs
Technical Skills:
- AI & Generative AI: LLMs, RAG, AI Agents, Chatbots, Prompt Engineering, HuggingFace, Transformers, LangChain, LangGraph, Vector Databases, FAISS, ChromaDB.
- Voice & NLP: Speech-to-Text, Text-to-Speech, Conversational AI, NLP Pipelines, Document AI, AI Assistants.
- Machine Learning: Python, Scikit-learn, TensorFlow, Pandas, NumPy, Model Training, Model Evaluation, Data Preprocessing, Feature Engineering.
- Full Stack Development: React.js, JavaScript, TypeScript, Node.js, Express.js, NestJS, FastAPI, Flask, Streamlit, MERN Stack.
- Databases & Cloud: MongoDB, PostgreSQL, MySQL, Firebase, Supabase, AWS EC2, Vercel, Railway, HuggingFace, Firebase Hosting.
- Automation & Integrations: n8n, REST APIs, third-party API integrations, workflow automation, email automation, Google Sheets automation.
Why Work With Me:
I understand both AI development and software engineering, which means I can build solutions that are not only intelligent but also usable, scalable, and reliable.
I focus on clean code, clear communication, practical problem-solving, and building systems that create real business value. My internship and project experience have given me strong exposure to real-world development workflows, clean architecture, backend systems, AI integration, and production-ready application development.
If you are looking for someone who can build AI chatbots, AI agents, RAG systems, voice AI tools, automation workflows, or full-stack AI applications, I would be happy to help bring your project to life.
GitHub: UdaraChamidu
Portfolio: udarachamidu.site
Steps for completing your project
After purchasing the project, send requirements so Herath Mudiyanselage can start the project.
Delivery time starts when Herath Mudiyanselage receives requirements from you.
Herath Mudiyanselage 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