You will get End-to-end ML solutions, NLP, computer vision, and predictive models
Project details
Most ML projects don't fail at the modelling stage. They fail because the model never makes it out of a notebook, or because it works on clean sample data and falls apart on the real thing.
I cover the full machine learning lifecycle, from understanding the business problem and cleaning the raw data, through feature engineering, model selection, training, evaluation, and on to a deployed solution that actually runs in your environment. I work across NLP (text classification, summarization, entity recognition, semantic search) and computer vision (object detection, segmentation, image classification), using PyTorch, TensorFlow, HuggingFace, and Scikit-learn depending on what fits the problem.
I also know when a fine-tuned transformer is the right call and when a well-tuned gradient-boosted tree will outperform it at a fraction of the cost. That judgment, not just the ability to run a training loop , is what you're hiring.
I cover the full machine learning lifecycle, from understanding the business problem and cleaning the raw data, through feature engineering, model selection, training, evaluation, and on to a deployed solution that actually runs in your environment. I work across NLP (text classification, summarization, entity recognition, semantic search) and computer vision (object detection, segmentation, image classification), using PyTorch, TensorFlow, HuggingFace, and Scikit-learn depending on what fits the problem.
I also know when a fine-tuned transformer is the right call and when a well-tuned gradient-boosted tree will outperform it at a fraction of the cost. That judgment, not just the ability to run a training loop , is what you're hiring.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, Google AutoML, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 7 days
- Number of Revisions Unlimited
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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GR
Gabriel R.
Aug 5, 2025
Software Developer Needed for API & Web Scraping Tutorials
Very good freelancer. Serious, proactive. Highly recommended. Understands things quickly.
About Khuzaima
Full Stack & AI/ML Engineer | SaaS/MVP | AI Agents & Automation |
100%
Job Success
Lahore, Pakistan - 6:41 am local time
I've been building at the intersection of software engineering and AI for years now, and the pattern that kills most AI projects isn't a bad idea, it's bad engineering underneath a good one. Models with no guardrails. Pipelines that assume clean data. Automations wired together with hope and duct tape. I build systems that don't have those problems, because I've seen what happens when they do.
What I bring that most people can't is the full picture. I'm not a data scientist who needs a separate dev team to ship anything, and I'm not an engineer who treats models like black boxes. I understand both sides, which means I can own an entire project, architecture, backend, frontend, AI layer, deployment, monitoring , without handing anything off or leaving gaps.
Following are the skills and expertise that I bring on the table:
🖥️ Full-Stack Development
I architect and build end-to-end web applications that are modular, testable, and built to grow. I care deeply about clean architecture, not just working code.
• Backend: Python, Django, FastAPI
• Frontend: React, Next.js, Node.js
• APIs: REST, GraphQL
• Databases: PostgreSQL, MongoDB, Redis
🤖 Agentic AI & LLM Applications
I build sophisticated AI systems that you can actually trust and trace. RAG pipelines with accurate retrieval and grounded responses, multi-agent workflows where LLMs plan, delegate, and execute tasks autonomously, and production-grade chatbots that actually understand context.
• Frameworks: LangChain, LangGraph, LangSmith
• Applications: RAG Pipelines, Multi-Agent Systems, Chatbots
• Capabilities: Observability, Evaluation, Guardrails, Memory Management
⚙️ Automation & Intelligent Workflows
I design automation systems that eliminate repetitive work and connect your tools into seamless pipelines. The goal is always the same: fewer manual steps, faster turnaround, zero dropped balls.
• Tools: n8n, Zapier, Make
• Communication: Twilio, SendGrid
• Use Cases: Lead Qualification, AI-Powered Customer Flows, Business Process Automation
📊 Data Science & Machine Learning
From raw, messy datasets to models that actually move metrics. I work across the full ML lifecycle, from problem framing and feature engineering all the way to evaluation and iteration. I know when to reach for a transformer and when a gradient-boosted tree is the smarter call.
• Domains: NLP, Computer Vision
• NLP: Text Classification, Summarization, Entity Recognition, Semantic Search
• CV: Object Detection, Segmentation, Image Classification
• Libraries: PyTorch, TensorFlow, Scikit-learn, HuggingFace
☁️ DevOps & MLOps
Application don't belong in Local Computers just like Models don't belong in notebooks, and I make sure they never remain there. I set up end-to-end Deloyment pipelines with tracking, versioning, automated retraining, and performance monitoring so your systems stay reliable long after the project wraps up.
• Cloud: AWS, GCP, Azure
• ML Platforms: MLflow, AWS SageMaker, GCP Vertex AI
• Infrastructure: Docker, Kubernetes, CI/CD Pipelines, Infrastructure-as-Code
What working with me looks like:
I treat every engagement as a technical partnership. Before writing code, I dig into the business context first, what problem are we really solving, what does success look like, and what could go wrong. I communicate proactively, document thoroughly, and never disappear mid-project.
If you're building something that matters and needs to be done right, whether it's a greenfield AI product, a legacy system that needs modernizing, or an ML model that needs to finally reach production, I'd love to hear about it.
Let's build something worth building.
Steps for completing your project
After purchasing the project, send requirements so Khuzaima can start the project.
Delivery time starts when Khuzaima receives requirements from you.
Khuzaima works on your project following the steps below.
Revisions may occur after the delivery date.
Proof of Concept (POC) and Detailed Plan
I will conduct a thorough Proof of Concept research and initial experimentation to lay out the best practices and frameworks/technologies that I will use for the development and finally provide a detailed layout development plan,
Core Development
Will develop the project as per the requirements and expectations.