You will get a Machine Learning Algorithm/Solution for your problem scenario
Project details
I deliver high-end models optimized for deployment. My code is compliant with the latest coding standards such as Pep8, Flake, black, etc.
I have an experience of over 2 years of as an ML Engineer and I try to deliver as much value as I can to my clients.
I have an experience of over 2 years of as an ML Engineer and I try to deliver as much value as I can to my clients.
What's included
| Service Tiers |
Starter
$80
|
Standard
$110
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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About Hussnain
NLP & Machine Learning Engineer | Building Powerful Language Solutions
Lahore, Pakistan - 8:39 pm local time
I lead projects that combine Large Language Models (LLMs) with structured data, enabling customers to interact with their data through natural language and unlock deeper insights. My work spans across:
Knowledge Graph Engineering – improving accuracy by resolving duplicate nodes with embeddings and graph reasoning.
Agentic RAG Systems – building intelligent agents in Python (using Phidata, Postgres, and pgvector) that allow users to chat with their data.
Entity Recognition Pipelines – leveraging LLMs and few-shot learning to identify industry-specific entities (e.g., Water & Wastewater).
Automated Data Pipelines – designing ingestion and enrichment workflows in Python & SQL for scalable, reliable insights.
Multimodal Document Intelligence – extracting structured information from PDFs, tables, and images with LLMs + vision models.
I improved real-time customer–agent matching models, boosting customer retention and revenue, and optimized large-scale data pipelines for operational efficiency. My earlier roles gave me a strong foundations in IoT/Edge AI, C++ performance optimization, and resume/job matching systems using NLP.
What I Can Do for You
- Build end-to-end NLP solutions: classification, summarization, entity extraction, question answering.
- Develop and deploy LLM-powered applications: RAG pipelines, knowledge-grounded chatbots, and Agentic AI systems.
- Engineer knowledge graphs & entity resolution systems to transform messy data into clean, connected insights.
- Create scalable data workflows: from preprocessing to deployment and monitoring in production.
- Work across Python, R, SQL, and C++—choosing the right tool for efficiency and performance.
Why Clients Choose Me
Cutting-edge expertise in LLMs, embeddings, knowledge graphs, and agent-based AI.
Proven industry impact: from optimizing global call centers to powering enterprise knowledge systems.
Full ML lifecycle ownership: data prep → experimentation → deployment → monitoring.
Client-first approach: I don’t just build models—I deliver solutions that solve business problems.
Whether you need a custom NLP pipeline, an AI-powered assistant, or a full-scale data-to-insights system, I’ll help you turn your vision into reality.
Let’s discuss how I can bring AI into your workflow.
Steps for completing your project
After purchasing the project, send requirements so Hussnain can start the project.
Delivery time starts when Hussnain receives requirements from you.
Hussnain works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
Collecting data from various sources
Exploratory Data Analysis
Analysing and visualizing the collected data.