You will get custom computer vision, object detection models in python
Project details
Looking for a skilled Machine Learning engineer for your computer vision tasks like object detection, segmentation and image classification? Look no further because I tend to provide state-of-the-art and diverse solution that ranges from model development to its use in full fledge (Android or Desktop) applications.
Services Include:
Object Detection & Recognition
Image Segmentation
Image Classification
OCR (Optical Character Recognition)
Pose Estimation
Real-Time Tracking Systems
Services Include:
Object Detection & Recognition
Image Segmentation
Image Classification
OCR (Optical Character Recognition)
Pose Estimation
Real-Time Tracking Systems
Machine Learning Tools
Azure Machine Learning, Google AutoML, Google Data Studio, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$35
|
Standard
$70
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
About Farhan
AI Engineer (LLM, Fine-Tuning, RAG, Model Optimization, Backend)
Lahore, Pakistan - 6:33 am local time
I help businesses build fast, reliable, and fully optimized AI systems from the ground up.
With experience in LLM fine-tuning, RAG pipelines, model quantization, and Python backend engineering, I build AI features that are efficient, scalable, and truly usable in real products. I’ve worked on projects involving custom LLMs, vector databases, real-time video processing pipeline for vision tasks, topic modeling, and deploying LLMs on constrained devices like Raspberry Pi.
What I Can Build For You
✔ Custom LLM fine-tuning (Supervised, QLoRA, PEFT, multi-turn chat)
✔ RAG systems with vector databases (ChromaDB, FAISS)
✔ Model optimization (quantization, pruning, distillation)
✔ FastAPI backend for AI features (auth, endpoints, streaming)
✔ AI pipelines for NLP, text classification, NER, and document sorting
✔ End-to-end model deployment (Docker, GPU, on-device, cloud)
✔ Clean data pipelines, evaluation frameworks, and MLOps-ready code
If you need a specialist who can build your custom Large or Small Language Model (LLM/SLM), train or fine-tune it on your data, optimize it for fast inference, and deploy it into production, I can help you get there efficiently and reliably.
Steps for completing your project
After purchasing the project, send requirements so Farhan can start the project.
Delivery time starts when Farhan receives requirements from you.
Farhan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Involves discussing project goals, computer vision tasks, key deliverables, dataset sources, and expected outcomes, while also defining the project timeline and budget.
Data Collection and Cleaning
Involves collecting or cleaning a dataset, performing data augmentation and preprocessing to ensure it is ready for training, such as resizing, normalization, and annotation.