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You will get Machine Learning Model - Unlocking Insights with Data
Project details
You have come to the right place if you are looking for someone who can assist you with deep learning, machine learning, data analysis, data visualization, and data science projects. I have been working in this field for over two years and have contributed to Kaggle and Github.
Experience
Machine Learning Engineer at ESS.
Ex-Machine Learning Intern at ESS.
Ex- NLP intern at ML1.
Expertise
Classification models
Data Science
Data Analysis
Data Cleaning
Data Pre Processing
Data Visualization
Feature Engineering
Machine Learning in python
Deep Learning in Tensorflow
Computer Vision
Convolution Neural Network
Unsupervised Machine Learning
Services offered
Deep Learning Projects using python and TensorFlow
Machine Learning in Python
Data Wrangling
Data Analysis using co-relation and PCA etc
Data Visualization using Matplotlib, seaborn, etc
Statistical analysis (ANOVA, CHI SQUARE, BI SERIAL)
Documentation.
Source Code
TOOLS AND LIBRARIES WHICH I USE:
TensorFlow
Keras
Sklearn (Scikit Learn)
Pandas
NumPy
Matplotlib
Seaborn
Streamlit
NLTK
Spacy
BeautifulSoup
Note: Please contact me first before placing your order
Experience
Machine Learning Engineer at ESS.
Ex-Machine Learning Intern at ESS.
Ex- NLP intern at ML1.
Expertise
Classification models
Data Science
Data Analysis
Data Cleaning
Data Pre Processing
Data Visualization
Feature Engineering
Machine Learning in python
Deep Learning in Tensorflow
Computer Vision
Convolution Neural Network
Unsupervised Machine Learning
Services offered
Deep Learning Projects using python and TensorFlow
Machine Learning in Python
Data Wrangling
Data Analysis using co-relation and PCA etc
Data Visualization using Matplotlib, seaborn, etc
Statistical analysis (ANOVA, CHI SQUARE, BI SERIAL)
Documentation.
Source Code
TOOLS AND LIBRARIES WHICH I USE:
TensorFlow
Keras
Sklearn (Scikit Learn)
Pandas
NumPy
Matplotlib
Seaborn
Streamlit
NLTK
Spacy
BeautifulSoup
Note: Please contact me first before placing your order
Machine Learning Tools
BERT, ChatGPT, deeplearn.js, Deeplearning4j, GPT-3, Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, Scrapy, TensorFlowWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 2 | 4 | Unlimited |
Number of Model Variations | 0 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Model Documentation
(+ 1 Day)
+$25
4 reviews
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MS
Michael S.
Dec 23, 2025
LoRA Training for Flux (100 Rendered Images of a Ship, Captions Ready)
MH
Mudassar H.
Jul 31, 2025
Build Screen-Based AI Bot to read trading chart patterns (No API)
Ahmed is extremely skilled individual in this field and i highly recommend him.
MW
Maurice W.
May 6, 2025
Audio Classification Dataset Creation and Model Training for iOS App
Ahmad did a wonderful job on the tasks. He approached them with great care and dedication, showing excellent attention to detail throughout. His thorough and precise work really stood out, and it’s clear he is committed to delivering high-quality results. Very well done!
MW
Maurice W.
May 6, 2025
Research Task on Poses, fill excel file
Working with Ahmad has been an excellent experience. He is a highly skilled AI engineer with deep technical expertise and consistently delivers high-quality work on time. Ahmad is reliable, communicates clearly, and quickly understands project requirements, making collaboration smooth and efficient. I truly enjoyed working with him and am very satisfied with the results he has achieved so far. Without a doubt, I will continue to hire him for future projects and highly recommend him to anyone looking for a top-tier AI developer.
About Ahmad
Expert Full Stack AI Engineer | LLM | RAG | n8n | MCP | MVP | GenAI
79%
Job Success
Lahore, Pakistan - 2:52 pm local time
⚠️ Note on Job Success Score:
My current 79% JSS is due to a single fraudulent client incident. All other projects were delivered successfully with strong outcomes and client satisfaction.
I work at the intersection of LLMs, RAG, multi-agent systems, and software engineering, helping startups and companies turn AI ideas into systems that scale, integrate cleanly, and deliver measurable business impact.
I own the full lifecycle: architecture, development, deployment, and iteration in production.
🧠 What I Do Best:
⚙️ AI Systems & LLM Engineering:
🔹 LLM fine-tuning and optimization (GPT, Claude, Mistral, LLaMA) using LoRA, PEFT, QLoRA
🔹 RAG pipelines with LangChain, LlamaIndex, LangGraph
🔹 Vector databases: Pinecone, FAISS, Weaviate, Chroma
🔹 Multi-agent systems with tool calling, memory, and orchestration
🔹 Secure integration with internal data, APIs, and enterprise systems
☁️ MLOps & Infrastructure:
🔹 Production APIs with FastAPI, Docker, Kubernetes
🔹 CI/CD pipelines using GitHub Actions and Terraform
🔹 Cloud deployments on AWS, GCP, and Azure
🔹 GPU-optimized inference for low-latency workloads
🔹 Model monitoring, retraining, and rollback strategies
🔹 Secure systems with OAuth2, encryption, and access control
🔁 Automation & Agentic Workflows:
🔹 Business automation using n8n, Zapier, Make
🔹 AI agents for customer support, scheduling, CRM, HR, and ops
🔹 Integrations with HubSpot, ClickUp, Slack, Stripe
🔹 Human-in-the-loop workflows and feedback-driven improvement
🧩 Full-Stack Engineering:
🔹 Frontend: React, Next.js, TypeScript, Tailwind, shadcn/ui
🔹 Backend: FastAPI, Django, Flask, Node.js
🔹 Mobile: Flutter, React Native
🔹 Databases: PostgreSQL, MongoDB, Redis, Neo4j
🔹 Payments & APIs: Stripe, PayPal, GraphQL, Firebase
🛠️ What I’ve Built:
✅ RAG-powered knowledge assistants and internal AI copilots
✅ Multi-agent LLM systems (LangGraph, CrewAI, AutoGen)
✅ AI-powered SaaS dashboards and admin portals
✅ Document parsing and semantic search engines
✅ Workflow automation platforms (CRM, HR, Finance, Ops)
✅ Cloud-native AI APIs with GPU-backed inference
✅ Voice and chat AI agents for real-time interaction
🚀 Why Clients Hire Me:
✨ 20+ AI projects delivered across startups, SaaS, and enterprise teams
✨ End-to-end ownership from architecture to deployment
✨ Domain-specific AI for legal, healthcare, and finance use cases
✨ Strong experience with RAG and automation-heavy systems
✨ Cloud-native mindset with scalable, reliable infrastructure
✨ Clear communication, strong documentation, fast iteration
🧪 Tech Stack Snapshot:
🧠 LLMs: GPT-4, Claude, Mistral, LLaMA, Hugging Face
📦 Frameworks: LangChain, LangGraph, LlamaIndex
📊 ML: PyTorch, TensorFlow, Scikit-learn, SpaCy, OpenCV
☁️ Infra: Docker, Kubernetes, Terraform, AWS, GCP, Azure
🔄 Automation: n8n, Zapier, Make
🗄️ Databases: PostgreSQL, MongoDB, Redis, Neo4j
🌐 Web & Mobile: React, Next.js, FastAPI, Django, Flutter
🎯 Ideal Projects:
🚀 RAG-powered platforms and internal AI systems
🚀 Agentic AI workflows and automation-heavy products
🚀 SaaS products integrating LLMs into existing architectures
🚀 Rapid MVPs that need to grow into production systems
🚀 Founders who care about reliability, not hype
🤝 Let’s Build Something Real
If you need an engineer who can design, build, and deploy AI systems that actually hold up in production, I’d love to help.
Let’s turn your idea into a scalable AI product that delivers real results.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Project Consultation
We will start with a thorough discussion of your objectives, data availability, and project requirements. Understanding your needs is crucial to designing the right ML solution.
Data Preprocessing
I will clean and preprocess your dataset, handling missing values, outliers, and other data anomalies to ensure high-quality inputs for the ML model.