You will get Experienced ML Engineer to Build Your Python Machine Learning Project
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Project details
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Need a Machine Learning Engineer who actually knows what they are doing?
I am a professional Data Scientist and Machine Learning Engineer who builds real, results-driven solutions in Python. From raw messy data to fully deployed models, I handle the entire pipeline with precision and expertise.
I stay ahead of the latest advancements in AI and Data Science, and I am confident enough to walk you through everything on a live Zoom or Google Meet consultation, no confusion, no guesswork.
What you will get:
Clean, structured data using the most effective preprocessing techniques, in-depth data analysis and visualization in Python, custom machine learning models built and optimized for your specific use case, and clear, well-documented deliverables you can actually use.
Tools and Technologies:
Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, BERT, ChatGPT, Azure Machine Learning, Apache Spark MLlib, Databricks, Tableau, Google Data Studio, RapidMiner, KNIME, H2O, TextBlob, PyMC, GitHub Copilot, and more.
Need a Machine Learning Engineer who actually knows what they are doing?
I am a professional Data Scientist and Machine Learning Engineer who builds real, results-driven solutions in Python. From raw messy data to fully deployed models, I handle the entire pipeline with precision and expertise.
I stay ahead of the latest advancements in AI and Data Science, and I am confident enough to walk you through everything on a live Zoom or Google Meet consultation, no confusion, no guesswork.
What you will get:
Clean, structured data using the most effective preprocessing techniques, in-depth data analysis and visualization in Python, custom machine learning models built and optimized for your specific use case, and clear, well-documented deliverables you can actually use.
Tools and Technologies:
Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, BERT, ChatGPT, Azure Machine Learning, Apache Spark MLlib, Databricks, Tableau, Google Data Studio, RapidMiner, KNIME, H2O, TextBlob, PyMC, GitHub Copilot, and more.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, Apache Mahout, Apache MXNet, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, Caffe, Chainer, Databricks Platform, Databricks MLflow, GitHub Copilot, Google AutoML, Google Sheets, H2O, Kubeflow, NLTK, NVIDIA AI Platform, OpenCV, Python, PyTorch, Tableau, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$109
|
Standard
$499
|
Advanced
$1,199
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 3 | Unlimited |
Model Validation/Testing | - | ||
Model Documentation | - | - | - |
Data Source Connectivity | - | ||
Source Code | - | - | - |
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ST
Sidali T.
May 25, 2026
Independent annotator for academic ML paper — 63 items, ~75 min ($30)
CW
Chris W.
Apr 25, 2026
No-Code Automation & AI Integration Assistant
Muhammad Khalid was amazing to work with. I would recommend him and hope to work with him again when the need emerges. Very detailed, highly skilled and very intelligent.
TS
Tabasum S.
Mar 11, 2026
Need Simple n8n Workflow Setup
Khalid did an excellent job setting up the n8n workflow for us. He quickly connected the webhook with Google Sheets and ensured the incoming data was formatted and stored correctly. Communication was smooth, delivery was fast, and the automation works perfectly. Highly recommended for n8n and automation tasks.
AH
Ali H.
Mar 2, 2026
Backend Bug Fixing & Optimization
Great experience working with Khalid! He quickly fixed backend issues, and improved code quality. Highly professional and reliable.
AO
Abdullah O.
Nov 16, 2025
Django → API Integration for Next.js Knowledge Base System (KBS)
Khalid is a highly skilled developer who pays attention to details and ensures everything is done perfectly. ✅
Khalid provided valuable suggestions that improved the project, communicated clearly throughout the process 💬, and delivered exceptional results 🚀.
If you’re looking for a reliable, talented, and professional developer, Khalid is the right choice. 🤝
I will definitely be hiring Khalid again for future projects! 🔥✨
Khalid provided valuable suggestions that improved the project, communicated clearly throughout the process 💬, and delivered exceptional results 🚀.
If you’re looking for a reliable, talented, and professional developer, Khalid is the right choice. 🤝
I will definitely be hiring Khalid again for future projects! 🔥✨
About Muhammad
AI Engineer | Python Developer, Backend, Generative AI & Automation
100%
Job Success
Karachi, Pakistan - 6:04 am local time
A K-12 SaaS that saves teachers hours of manual grading weekly. A B2B logistics platform built on MERN that eliminated dispatch overhead and syncs Shopify, ERPs, and WMS in real time. A banking assistant that executes real transfers from a single sentence. A natural language interface that cut developer dependency for database reporting to zero. Those are my last four projects.
Python, FastAPI, Django, LangChain. architecture to production. Custom software built to survive real users, real data, and real scale.
Not demos. Not prototypes. Systems with clean documentation designed to keep running after han
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝:
→ AI Automation and Agentic Workflows: If your team is still doing manually what a pipeline should handle, that is expensive. Autonomous multi-agent workflows built on LangChain, LangGraph, CrewAI, and n8n. BrokerBot AI handles real estate lead qualification around the clock, cutting response time by 60%. My LinkedIn outreach automation increased qualified leads by 4x and cut research time by 80%.
→ Generative AI Integration: AI features that work inside your product, not alongside it. RAG pipelines, document intelligence, AI chatbots, and natural language interfaces built on LangChain, OpenAI GPT-4, and Gemini. EdLoop, a K-12 AI SaaS, auto-generates personalized student feedback and surfaces district-wide insights, saving teachers hours of manual grading weekly with FERPA-compliant architecture.
→ RAG Pipelines and Natural Language Interfaces: Your data should not be locked away from the people who need it. Conversational interfaces over databases, documents, and knowledge bases using FAISS, Chroma, and LangChain. TALK2DATA lets non-technical teams query live PostgreSQL databases in plain English, zero SQL, zero developer dependency, zero waiting on reports.
→ SaaS Backend Development: Your backend should not be the reason your product cannot grow. Scalable API architecture on FastAPI, Django, and MERN, PostgreSQL and NoSQL databases, Stripe billing, webhook handling, and third-party integrations documented with OpenAPI. EtaFlex, a B2B last-mile SaaS, eliminated manual dispatch overhead and syncs Shopify, ERPs, and WMS in real time through event-driven n8n pipelines.
𝐅𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬. 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝 𝐨𝐮𝐭𝐜𝐨𝐦𝐞𝐬.
↳ BrokerBot AI: Real estate voice agent that handles lead qualification around the clock, response time down 60%, zero missed inquiries. Built on Bland AI, FastAPI, n8n, and CRM integration.
↳PromptPay: "Send 12K to John" executes a real bank transfer. Multi-agent system identifies intent, validates compliance, and processes the transaction end to end. Built on LangChain, GPT-4, and Django.
↳EdLoop: Saved teachers hours of manual grading weekly. FERPA-compliant K-12 AI SaaS that processes student work, auto-generates personalized feedback, and surfaces district-wide performance insights. Built on LangChain, FastAPI, and GCP.
↳ TALK2DATA: Non-technical teams query live databases in plain English, no SQL, no developer dependency, no waiting. Built on LangChain, FastAPI, and PostgreSQL.
BrokerBot AI (real estate voice agent, response time down 60%), PMO Handover Bot (RAG over Google Drive, onboarding cut by 50%), InvoiceIQ (96% multilingual invoice extraction, replaced a paid SaaS tool), Smart Clinic Reservation System (no-shows down 40%), LinkedIn Outreach Bot (qualified leads up 4x, research time cut 80%), Jira Microservice Automation, Career Ustad, Sovereign Urdu LLM, and more.
𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤:
Architecture before code. Every system is documented, maintainable, and designed to survive handoff. I flag problems before they get expensive and communicate without being chased.
𝐆𝐨𝐨𝐝 𝐟𝐢𝐭: Startups and SaaS businesses building real products, AI automation systems, scalable backend infrastructure, or Generative AI integration that needs to work under real users and real data.
𝐍𝐨𝐭 𝐚 𝐟𝐢𝐭: Vague briefs where "let's explore what AI can do" is the entire scope.
𝐒𝐭𝐚𝐜𝐤:
Backend: Python, FastAPI, Django, Flask, MERN Stack, Go
AI/LLM: LangChain, LangGraph, CrewAI, OpenAI GPT-4, Gemini, Ollama, Hugging Face
Automation: n8n, Zapier, Celery
Vector DBs: FAISS, Chroma
Vision and OCR: GCP Document AI, OpenCV
Voice: Bland AI, VAPI
Scraping: Playwright, Firecrawl
Databases: PostgreSQL, MongoDB, Redis
Cloud: AWS (EC2, Lambda), GCP, Docker
Describe what you are building or what is broken, just the core problem. I will reply within 1 hour with whether I have solved something like it and exactly how I would approach yours.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Proposal & Scope
Define the deliverables, timeline, and price
Kickoff & Execution
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