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Project details
Expert Machine Learning and Deep Learning Solutions with Python
With a wealth of experience, I offer top-notch solutions in:
Data Mastery:
Data Wrangling
Data Cleaning
Data Pre-processing
Feature Engineering
Insightful Data Analysis:
Comprehensive Exploratory Data Analysis
Data Visualization with Matplotlib, Seaborn, Missingno, and many more.
Machine Learning Excellence (Sklearn):
Models: Linear Regression, Logistic Regression, Decision Trees, Ensemble Methods, Support Vector Machines, K-Nearest Neighbors, K-Means, and more
Dimensionality Reduction: PCA and LDA
Deep Learning for Computer Vision and Object Detection:
Cutting-edge Models: Neural Networks, Recurrent Neural Networks (LSTM and GRU), Convolutional Neural Networks
Powered by Keras and TensorFlow
Natural Language Processing (NLP):
Utilizing libraries and models such as nltk, spacy, and BERT
Why Choose My Services:
Unlimited Revisions to Ensure Satisfaction
Comprehensive Source Code with Detailed Explanations
Elevate your data-driven projects with my expertise in Machine Learning and Deep Learning. Let's work together to bring your vision to life.
With a wealth of experience, I offer top-notch solutions in:
Data Mastery:
Data Wrangling
Data Cleaning
Data Pre-processing
Feature Engineering
Insightful Data Analysis:
Comprehensive Exploratory Data Analysis
Data Visualization with Matplotlib, Seaborn, Missingno, and many more.
Machine Learning Excellence (Sklearn):
Models: Linear Regression, Logistic Regression, Decision Trees, Ensemble Methods, Support Vector Machines, K-Nearest Neighbors, K-Means, and more
Dimensionality Reduction: PCA and LDA
Deep Learning for Computer Vision and Object Detection:
Cutting-edge Models: Neural Networks, Recurrent Neural Networks (LSTM and GRU), Convolutional Neural Networks
Powered by Keras and TensorFlow
Natural Language Processing (NLP):
Utilizing libraries and models such as nltk, spacy, and BERT
Why Choose My Services:
Unlimited Revisions to Ensure Satisfaction
Comprehensive Source Code with Detailed Explanations
Elevate your data-driven projects with my expertise in Machine Learning and Deep Learning. Let's work together to bring your vision to life.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, ChatGPT, fastText, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$90
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 0 | 0 | 0 |
Number of Model Variations | 1 | 3 | 3 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
Model Interface
(+ 1 Day)
+$30
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UD
Udo D.
Apr 29, 2026
Data Analysis for Visualisation
MB
Marzieh B.
Dec 15, 2025
AI Engineering
About Abdul
AI Engineer (With 5+ year Experience)
100%
Job Success
Islamabad, Pakistan - 10:58 am local time
What I Build Custom AI agents with real orchestration (LangGraph and the OpenAI / Claude agent SDKs), tool use, memory, and MCP integrations that connect agents to Slack, Google Drive, CRMs, and internal databases. Voice agents built on LiveKit, Vapi, or Retell, with Deepgram speech-to-text, ElevenLabs or Cartesia voices, and telephony (SIP / Twilio), tuned for sub-second latency and natural turn-taking so callers don't feel like they're fighting a robot.
Chatbots and RAG systems done properly: chunking, embeddings, vector databases (Pinecone, pgvector), and reranking, so answers stay grounded in your data instead of hallucinated. LLM integration and fine-tuning across Claude, OpenAI, and open models (HuggingFace), including fine-tuning on your own data when an off-the-shelf model isn't enough.
Backends and full-stack work in Python (FastAPI) and React / Next.js, with the databases, APIs, auth, and deployment to back them. And workflow automation with n8n, Make .com, and Zapier when a managed workflow is the right call, and custom code when it isn't.
What Separates This From a Quick Prototype I build evals so you can measure accuracy, guardrails so the AI behaves safely, observability so you can see what it's doing in production, and latency and cost optimization so it stays fast and affordable as you scale.
Recently Shipped A support chatbot that now resolves around 90% of customer questions on its own, freeing the owner from working weekends. An automated CRM that nurtures leads on autopilot so the sales team closes instead of doing data entry. OCR pipelines for EA Sports using AI vision models.
How I Work I don't hand off a black box and disappear. I explain the architecture in plain language, document what I build, and stick around after launch to make sure it keeps performing.
5+ years experience | Full-stack AI engineer who builds systems that hold up in production
If you're building an AI agent, a voice assistant, or an LLM-powered product, send me a short note on what you're trying to solve and I'll tell you honestly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
Gather relevant data from various sources such as databases, APIs, or web scraping. Ensure the data is comprehensive and representative of the problem domain.
Data Cleaning
Preprocess the collected data by handling missing values, outliers, and inconsistencies. This step ensures the quality and reliability of the data for further analysis.