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You will get machine/deep learning model for computer vision, NLP or any other dataset
Project details
So, your quest for an expert Machine Learning Engineer ends here! Let the experts deal with the problem and you may grab some popcorn or soda and witness your dream becoming reality.
>> The machine learning toolkit and algorithms I have worked with are mentioned below:
> Convolutional Neural Networks
> Recurrent Neural Networks
> LSTM
> ResNet
> VGGNet
> VPGNet
> Linear Regression
> Multiple Linear Regression
> Logistic Regression
> Neural Networks
> Decision Trees
> Support Vector Machine
> Random Forest Classifier & Regressor
> Naive Bayes
> Ensemble Methods (Boosting, Stacking, Aggregation)
>> Project niches:
(<>) Exploratory Data Analysis
(<>) Data Visualization
(<>) Data Pre-processing
(<>) Object Detection
(<>) Classification
(<>) Regression
>> Toolkit:
<> Numpy
<> Pandas
<> Scikit-earn
<> Matplotlib
<> Seaborn
<> Scipy
<> TensorFlow
<> Keras
<> Anaconda
<> Google Colab
I believe that customer satisfaction is the real reward one can achieve in this job and I provide it.
NOTE: Prior to the order placement, please message me to discuss the project.
Thanks!
>> The machine learning toolkit and algorithms I have worked with are mentioned below:
> Convolutional Neural Networks
> Recurrent Neural Networks
> LSTM
> ResNet
> VGGNet
> VPGNet
> Linear Regression
> Multiple Linear Regression
> Logistic Regression
> Neural Networks
> Decision Trees
> Support Vector Machine
> Random Forest Classifier & Regressor
> Naive Bayes
> Ensemble Methods (Boosting, Stacking, Aggregation)
>> Project niches:
(<>) Exploratory Data Analysis
(<>) Data Visualization
(<>) Data Pre-processing
(<>) Object Detection
(<>) Classification
(<>) Regression
>> Toolkit:
<> Numpy
<> Pandas
<> Scikit-earn
<> Matplotlib
<> Seaborn
<> Scipy
<> TensorFlow
<> Keras
<> Anaconda
<> Google Colab
I believe that customer satisfaction is the real reward one can achieve in this job and I provide it.
NOTE: Prior to the order placement, please message me to discuss the project.
Thanks!
What's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Model Documentation
(+ 2 Days)
+$50
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JL
Johan L.
Sep 11, 2022
AWS Lambda Python Layer
Great work! Very well done!
About Muaaz
AI Engineer | RAG, AI Agents, LangGraph, MCP, Voice AI, LLMs | Python
Toba Tek Singh, Pakistan - 6:32 am local time
What I deliver:
✓ RAG & Knowledge Systems — Document Q&A, knowledge bases, and search systems using LangChain, vector databases (Pinecone, ChromaDB, Weaviate), hybrid search, and reranking. Your users get accurate, cited answers from your own data.
✓ AI Agents & Multi-Agent Systems — Autonomous agents that research, analyze, and execute tasks using LangGraph, CrewAI, and MCP (Model Context Protocol). From data processing pipelines to complex decision-making workflows.
✓ Voice AI & Call Agents — AI phone agents using VAPI and Twilio that handle inbound/outbound calls, answer customer questions, and book appointments. Real-time STT/TTS with sub-500ms latency.
✓ AI Automation & Integration — End-to-end workflow automation with n8n, Make .com, and custom Python scripts. Connect your CRM, email, calendar, and databases with AI-powered logic.
✓ LLM Integration & APIs — Production REST APIs with FastAPI serving GPT-4, Claude, and open-source models. Structured outputs, error handling, cost optimization, and monitoring built in.
Tech stack: Python, LangChain, LangGraph, CrewAI, FastAPI, VAPI, Twilio, n8n, OpenAI API, Claude API, Pinecone, ChromaDB, Docker, AWS (Lambda, S3, EC2, SageMaker).
I work with AI-accelerated development tools (Claude Code, Cursor, Codex) as core workflow — meaning faster delivery and production-quality output from day one.
Available 30+ hrs/week. Clear communication, milestone-based delivery, and clean documentation on every project.
Steps for completing your project
After purchasing the project, send requirements so Muaaz can start the project.
Delivery time starts when Muaaz receives requirements from you.
Muaaz works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Collect requirements and create milestones.
Build a Prototype
Build and demonstrate a prototype/MVP to establish a baseline of the project.