You will get Build and Deploy Custom Computer Vision & Machine Learning Models
Top Rated
Project details
The Challenge:
Off-the-shelf AI tools fail when applied to proprietary business problems. Whether you need precise object detection, intelligent document parsing, or complex predictive pipelines, a raw Jupyter Notebook is not a solution—it is a liability.
The Solution:
I engineer, train, and deploy custom Machine Learning and Computer Vision systems tailored to your specific business logic. I manage the entire lifecycle, shifting your project from raw data to an optimized inference engine.
What I Deliver:
• Computer Vision Systems: Custom YOLO and PyTorch architectures for real-time object detection, classification, and segmentation.
• Predictive ML Pipelines: Robust regression, classification, and clustering engines built for structural enterprise datasets.
• Production Ingest: Fully containerized inference pipelines via Docker with documented FastAPI endpoints.
Stop building prototypes. Let's deploy the architecture. Message me to map out your solution.
Off-the-shelf AI tools fail when applied to proprietary business problems. Whether you need precise object detection, intelligent document parsing, or complex predictive pipelines, a raw Jupyter Notebook is not a solution—it is a liability.
The Solution:
I engineer, train, and deploy custom Machine Learning and Computer Vision systems tailored to your specific business logic. I manage the entire lifecycle, shifting your project from raw data to an optimized inference engine.
What I Deliver:
• Computer Vision Systems: Custom YOLO and PyTorch architectures for real-time object detection, classification, and segmentation.
• Predictive ML Pipelines: Robust regression, classification, and clustering engines built for structural enterprise datasets.
• Production Ingest: Fully containerized inference pipelines via Docker with documented FastAPI endpoints.
Stop building prototypes. Let's deploy the architecture. Message me to map out your solution.
Machine Learning Tools
ChatGPT, Google Sheets, Keras, MATLAB, Microsoft Excel, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, SAS, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, Tesseract OCR, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$1,200
|
Advanced
$2,300
|
|---|---|---|---|
| Delivery Time | 2 days | 9 days | 21 days |
Number of Revisions | 3 | 2 | 2 |
Number of Model Variations | 2 | 2 | 2 |
Number of Graphs/Charts | 5 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
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SH
Shiyi H.
Feb 11, 2026
Invitation to Participate in a Data Wrangling Research Study(It's PAID $40/hr)
IH
Irfan H.
Jan 11, 2026
YOLO Pseudo-Label Review & Cleaning for Solar Panel EL Images
I would like to hire him again for next jobs. He is very hardworking and priorities my task.
OS
Omri S.
Dec 21, 2025
Data labelling
Really into the point, organized and really good at his job.
IH
Irfan H.
Aug 14, 2025
Expert Needed for YOLO Object Detection & Stereo Camera Calibration
Saif delivered good work on this my project and I enjoyed working with him. His communication was top-notch, he met all deadlines, and his skills were reasonably strong. I enjoyed working with Saif and will likely have additional jobs for him in the future.
TT
Teaspoon Lab T.
May 29, 2025
C developers needed for a research study exploring how developers use AI
About Saif
Enterprise AI Engineer | Hallucination-Free RAG & Agentic Workflows
100%
Job Success
Gilgit, Pakistan - 2:00 am local time
If you are a SaaS Founder, Operations Director, or CTO, you already know that off-the-shelf LLMs don't understand your private business data. They hallucinate, they leak sensitive info, and they sit isolated in web browsers instead of talking to your actual business applications.
You don't need another generic chatbot. You need a secure, enterprise-grade AI Integration layer that automates your manual operations and turns unstructured data into an operational advantage.
I am an AI Integration Architect, University Gold Medalist (Information Technology), and IBM Certified Data Scientist. I bridge the gap between foundational models and enterprise reality, specializing in custom RAG (Retrieval-Augmented Generation) architectures and autonomous multi-agent workflows that directly cut operational costs.
HOW I DELIVER ROI FOR YOUR BUSINESS:
• Production-Grade RAG Systems: Grounding LLMs (OpenAI, Claude, Llama) in your private data using LangChain and Vector Databases (Pinecone, Weaviate). Your system gives factual, cited answers instead of creative guesses.
• Autonomous Workflow Automation: Building advanced multi-agent workflows using n8n and Make (Integromat). I connect your existing CRMs, databases, and cloud software to custom AI agents to automate document parsing, lead generation, and reporting.
• Applied Computer Vision & Document OCR: Engineering intelligent document processing pipelines using custom OpenCV, YOLO, and OCR models to extract clean data from messy invoices and legal PDFs.
• Legacy Refactoring: Taking slow, brittle Python scripts or Jupyter Notebooks written by junior developers and refactoring them into clean, containerized FastAPI microservices.
THE ENTERPRISE TECH STACK I DEPLOY:
• AI & Frameworks: LangChain | LlamaIndex | Hugging Face | PyTorch | OpenAI API
• Data & Vectors: Pinecone | Weaviate | PostgreSQL | SQL
• Automation & Workflows: n8n | Make | Python Automation | API Integrations
• Deployment & Infrastructure: FastAPI | Docker | Kubernetes | CI/CD
WHY TOP-TIER CLIENTS TRUST MY INFRASTRUCTURE:
An AI model is a liability if your team doesn't know how to use it. I design for production. You receive clean Python code, fully documented FastAPI endpoints, proper Docker containers, and seamless handovers so your internal engineering team can scale the architecture with confidence.
YOUR NEXT STEP:
Don't post a massive, complex project brief yet. Send me a direct message with a 2-sentence summary of your current manual bottleneck or data challenge.
If I can engineer a high-ROI solution for it, I will outline a clear, pragmatic technical architecture for you. If I am not the right fit, I will point you toward the exact tools or specialists who are.
Steps for completing your project
After purchasing the project, send requirements so Saif can start the project.
Delivery time starts when Saif receives requirements from you.
Saif works on your project following the steps below.
Revisions may occur after the delivery date.
Project Initiation
Client selects the AI/Data Science package and submits detailed requirements. We schedule a kickoff call to clarify objectives, data sources, success metrics, and timelines.
Data Acquisition & Preparation
Gather raw data from client-provided sources (databases, APIs, spreadsheets, etc.). Perform data cleaning, normalization, and exploratory data analysis (EDA) to uncover patterns and identify quality issues.