You will get an end to end ML pipeline built from raw data/documents to production API
Project details
You will get a machine learning pipeline that goes from raw data all the way to a production API your product and engineering teams can actually use with monitoring, logging, and continuous improvement built in.
Most ML work stops at the notebook. The model trains well, evaluates well, and then sits there because nobody has turned it into something a real application can call reliably. That gap from trained model to production system, exactly what this covers.
Real results: 50% improvement in model inference speed, 40% reduction in API response times, end-to-end ML pipelines built across healthcare diagnostics, enterprise platforms, and SaaS products. Monitoring systems for model health and anomaly detection built and deployed in production. AWS Generative AI Developer, Google Cloud ML Engineer, and Azure AI Engineer certified
Most ML work stops at the notebook. The model trains well, evaluates well, and then sits there because nobody has turned it into something a real application can call reliably. That gap from trained model to production system, exactly what this covers.
Real results: 50% improvement in model inference speed, 40% reduction in API response times, end-to-end ML pipelines built across healthcare diagnostics, enterprise platforms, and SaaS products. Monitoring systems for model health and anomaly detection built and deployed in production. AWS Generative AI Developer, Google Cloud ML Engineer, and Azure AI Engineer certified
Machine Learning Tools
Apache Spark, Apache Spark MLlib, Azure Machine Learning, ChatGPT, deeplearn.js, GitHub Copilot, Google AutoML, Google Sheets, GPT-3, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, PyMC, Python, PyTorch, SPSS, SQL, Tableau, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$3,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 28 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - |
About Mo
AI Engineer | Agentic RAG, LLM, Python, FastAPI, LangChain, LangGraph
Woodbridge, United States - 10:45 pm local time
With 𝟕+ years as Senior 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, I built 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗱𝘆 AI Agents, AI Copilots, RAG applications, AI chatbots, workflow automation platforms and FastAPI backends that integrate with your existing tools, CRM, ERP and business systems. Cutting 𝗔𝗣𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝘁𝗶𝗺𝗲𝘀 by 𝟰𝟬% and doubled 𝗺𝗼𝗱𝗲𝗹 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝘀𝗽𝗲𝗲𝗱 for 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 and 𝗦𝗮𝗮𝗦 𝘁𝗲𝗮𝗺𝘀 by fixing data pipeline, retrieval layer, backend architecture and deployment setup
🚀 𝗖𝗢𝗠𝗠𝗢𝗡 𝗔𝗜 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 𝗜 𝗕𝗨𝗜𝗟𝗗
I help startups, SaaS companies, healthcare teams and business operations teams build production ready AI systems that connect to real data, automate workflows and deliver measurable results:
• AI Agents for sales, customer support, operations, HR and internal teams
• AI Chatbots trained on your documents, knowledge base and business data
• AI Copilots for employees, customer support and business operations
• Knowledge Base Assistants and Document Q&A Systems
• AI powered Internal Tools and Workflow Automation
• Lead Qualification and Follow-up Automation
• Voice AI Assistants and AI Calling Agents
• Document Processing and Data Extraction Systems
• AI powered Search and Semantic Search Applications
• AI Dashboards and Automated Business Reporting
• Multi Agent Systems and Autonomous Workflows
• AI MVPs and AI powered SaaS Products
• Recommendation Engines and Personalized Experiences
• Customer Support Automation with 24/7 AI Assistants
• Chat with Your Data Applications
See full case studies & certifications in my portfolio below!
➤ 𝗥𝗘𝗔𝗗𝗬 𝗧𝗢 𝗕𝗨𝗜𝗟𝗗 𝗬𝗢𝗨𝗥 𝗔𝗜 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡?
Whether you need an AI Agent, AI Copilot, RAG chatbot, workflow automation, Voice AI assistant, document processing system, AI MVP or a production ready backend, I can help turn your idea into a reliable product
I typically respond within a few hours and am happy to discuss architecture, timelines or the best technical approach before we start
🎯 𝗖𝗢𝗠𝗠𝗢𝗡 𝗥𝗘𝗔𝗦𝗢𝗡𝗦 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗖𝗢𝗡𝗧𝗔𝗖𝗧 𝗠𝗘 𝗧𝗢:
✓ Replace manual workflows with AI
✓ Automate repetitive business processes
✓ Build AI that works in production
✓ Connect AI to existing software, APIs and databases
✓ Reduce customer response times
✓ Scale customer support without hiring more staff
✓ Stop losing leads with AI powered qualification and follow up
✓ Reduce operational costs through automation
✓ Build an AI MVP for investors or early customers
✓ Modernise an existing product with AI features
✓ Fix slow, inaccurate or unreliable AI systems
✓ Turn an AI idea into a production ready product
🛠️ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸?
Every successful AI product starts with solving the right business problem. I begin by understanding your workflows, users and data, then design an AI solution that integrates naturally with your existing systems. Whether you need an AI Agent, AI Copilot, RAG chatbot, Voice AI assistant, internal knowledge assistant or AI powered SaaS feature, I focus on building solutions that are reliable, scalable and easy to maintain
My development process covers data preparation, prompt engineering, retrieval optimization, backend architecture, API integrations, evaluation, deployment, monitoring, and continuous improvement to ensure your AI system performs reliably in production
🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦
• Healthcare & Digital Health
• SaaS & Enterprise Software
• Financial Services & FinTech
• HR & Recruiting
• Customer Support
• E-commerce & Marketplaces
• Legal Technology
• Real Estate
• Education & EdTech
• Logistics & Supply Chain
💻 𝗠𝗬 𝗦𝗧𝗔𝗖𝗞
𝗔𝗜 & 𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
• AI Agent Development
• Agentic AI
• Multi Agent Systems
• LangGraph
• CrewAI
• Model Context Protocol (MCP)
• Prompt Engineering
𝗟𝗟𝗠 & 𝗥𝗔𝗚
• OpenAI API
• Anthropic Claude
• Google Gemini
• LlamaIndex
• LangChain
• Vector Databases
• Pinecone
• Weaviate
• ChromaDB
𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗔𝗣𝗜𝘀
• Python
• FastAPI
• Django
• Flask
• REST APIs
• GraphQL
• SQL
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
• PyTorch
• TensorFlow
• Scikit-learn
• Pandas
• NumPy
𝗖𝗹𝗼𝘂𝗱 & 𝗠𝗟𝗢𝗽𝘀
• AWS
• Google Cloud
• Docker
• Kubernetes
• GitHub Actions
• CI/CD
• MLOps
• Monitoring & Logging
I build AI Agents, AI Copilots, RAG applications, AI chatbots, workflow automation platforms and production-ready AI backends that integrate with your data, automate real business processes, and deliver measurable results
If you're looking for an AI engineer who can take your project from idea to production, let's talk
Steps for completing your project
After purchasing the project, send requirements so Mo can start the project.
Delivery time starts when Mo receives requirements from you.
Mo works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Pipeline Design
Data sources reviewed, quality assessed, preprocessing steps defined. Pipeline architecture designed before any code is written
Data Pipeline
Cleaning, transformation, feature engineering, and train/test split built as a reproducible pipeline not a one off notebook