You will get Computer Vision | Object Detection | Image processing | Segmentation & OCR
Project details
I build end-to-end Computer Vision solutions that help businesses transform images and videos into actionable insights. With 5+ years of experience and 50+ AI projects delivered, I specialize in designing AI models that tackle complex image analysis tasks, from image classification and object detection to segmentation, OCR, and facial recognition. With years of experience in PyTorch, TensorFlow, Keras, and OpenCV, I deliver high-quality models optimized for accuracy, speed, and scalability.
My expertise covers a wide range of computer vision tasks:
🔤 Object Detection (YOLO, SSD, Faster R-CNN)
🔤 Image Segmentation (UNet, Mask R-CNN, DeepLab)
🔤 Optical Character Recognition (OCR) with Tesseract & Transformers
🔤 Face Detection & Recognition (OpenCV, DeepFace, ArcFace)
Clients choose me for my hands-on expertise in end-to-end computer vision solutions, where every model is fine-tuned, validated, and accompanied by clear documentation. From prototypes to enterprise-grade solutions, I offer flexible packages, professional add-ons, and ongoing support, empowering you to transform visual data into actionable insights that drive your business forward.
My expertise covers a wide range of computer vision tasks:
🔤 Object Detection (YOLO, SSD, Faster R-CNN)
🔤 Image Segmentation (UNet, Mask R-CNN, DeepLab)
🔤 Optical Character Recognition (OCR) with Tesseract & Transformers
🔤 Face Detection & Recognition (OpenCV, DeepFace, ArcFace)
Clients choose me for my hands-on expertise in end-to-end computer vision solutions, where every model is fine-tuned, validated, and accompanied by clear documentation. From prototypes to enterprise-grade solutions, I offer flexible packages, professional add-ons, and ongoing support, empowering you to transform visual data into actionable insights that drive your business forward.
Machine Learning Tools
BERT, ChatGPT, deeplearn.js, Deeplearning4j, GitHub Copilot, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, NumPy, NVIDIA AI Platform, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, TensorFlow, Tesseract OCR, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$550
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $250
Additional Revision
+$50
Additional Model Variation
(+ 3 Days)
+$150
Additional Scenario
(+ 2 Days)
+$80
Additional Graph/Chart
(+ 1 Day)
+$40
Model Documentation
(+ 2 Days)
+$100
Data Source Connectivity
(+ 2 Days)
+$120
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JS
Joanne Da S.
Feb 27, 2024
Looking for C, MicroPython developer
AY
Alex Y.
Sep 18, 2023
Inverter
JS
Joanne Da S.
May 22, 2023
Looking for C, MicroPython developer
Great developer. Actually going to hire again right away
MP
Morgan P.
May 18, 2023
MicroPython Porting Engineer
Had an outstanding experience with this freelancer. He was fast, prompt, and effective, completely solving my problem immediately. Very very grateful to Zain.
Kd
Kasun d.
Nov 29, 2022
Conceptual System Level Paper Design of a Car-Mounted Solar Cell and Wind Generator charger
2nd time with him. Did a very good Job
About Zain
Senior AI Engineer | RAG | LangChain | AI Agents | Agentic AI | LLMOPs
100%
Job Success
Ubauro, Pakistan - 7:39 pm local time
⭐️ 56+ AI Solutions delivered
⭐️ 16+ RAG pipelines (including, text, document and multimodal data) deployed
⭐️ 9+ LLMs fine-tuned and shipped to production (LoRA, QLoRA, SFT, DPO, RLHF)
Your AI project is either not in production yet, or it is live but slow, expensive, and fragile under real load.
That is the exact problem I solve.
I am Zain — a Full-Stack AI Engineer with experience in building production-grade AI systems end to end. Not just the model. The entire stack:
✅ Agentic AI System ✅ RAG pipeline ✅ Fine-tuned LLM
✅ Inference serving layer ✅ Kubernetes deployment ✅ CI/CD pipeline
✅ Monitoring and observability that keeps it all healthy at scale.
One recent example: I reduced inference latency by 82% for a production LLM system through GPU-optimized architecture redesign — cutting compute costs significantly while handling 310,000+ monthly AI queries without degradation.
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WHAT I BUILD FOR YOU
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🔷 RAG Pipelines & AI Agents:
Enterprise-grade Retrieval-Augmented Generation systems with semantic search, reranking, memory, and multi-agent orchestration. Built with LangChain, LangGraph, CrewAI, and vector databases including LanceDB, FAISS, ChromaDB, Pinecone, and Weaviate.
🔷 LLM Fine-Tuning & Model Customization:
Custom fine-tuning of open-source LLMs (LLaMA, Mistral, Gemma) using LoRA, QLoRA, SFT, DPO, and RLHF on your proprietary data. 27+ models fine-tuned and deployed to production across healthcare, legal tech, enterprise automation, and SaaS.
🔷 LLMOps & Production Infrastructure:
Full production deployment: Docker, Kubernetes, Helm, CI/CD pipelines (Jenkins, GitHub Actions, GitLab, ArgoCD), Terraform infrastructure-as-code, and real-time monitoring with Prometheus, Grafana, and LLM-specific tracing via Langfuse. Your AI ships reliably, scales automatically, and is observable from day one.
🔷 Inference Optimization & GPU Infrastructure:
vLLM and TGI for high-throughput model serving. Quantization (GGUF, AWQ, GPTQ) for cost reduction. GPU infrastructure management across AWS and specialist GPU providers. I make your inference fast and your cloud bill predictable.
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WHO I WORK BEST WITH
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→ AI startups (Seed to Series B) building their first production LLM product
→ SaaS companies adding AI features to an existing platform
→ Enterprise teams with an AI prototype that needs to become a real product
→ CTOs and technical founders who need a senior AI partner, not just a developer
I do not take every project. I take projects where I can make a real difference — where the work is technically meaningful and the client is serious about building something that lasts.
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TECH STACK
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✅ Languages: Python · SQL · Shell · YAML · Rust
✅ LLMs & GenAI: OpenAI GPT · Claude · Gemini · LLaMA · Mistral · Hugging Face
✅ RAG & Agents: LangChain · LangGraph · LlamaIndex · Multimodal RAG
✅ Fine-Tuning: LoRA · QLoRA · SFT · DPO · RLHF
✅ Inference: vLLM · TGI · Quantization (GGUF · AWQ · GPTQ)
✅ Vector DBs: FAISS · ChromaDB · Pinecone · Weaviate. LanceDB
✅ ML/DL: PyTorch · TensorFlow · Scikit-Learn · Keras · OpenCV
✅ Backend: FastAPI · Flask · Django
✅ Databases: PostgreSQL · MySQL
✅ Cloud: AWS (EC2 · EKS · SageMaker · Fargate · ECR)
✅ Containers & Orchestration: Docker · Kubernetes · Helm
✅ Infrastructure as Code: Terraform · Ansible
✅ CI/CD: Jenkins · GitHub Actions · GitLab CI/CD · ArgoCD · CircleCI
✅ Monitoring: Prometheus · Grafana · ELK Stack · Langfuse
✅ Experiment Tracking: MLflow · Weights & Biases · DVC
✅ Version Control: Git · GitHub · GitLab
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If you are building an AI system that needs to actually work in production — not just in a notebook — I would like to hear about it.
Send me a message with what you are building, and I will tell you honestly whether I can help and how.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation & Exploration
Analyze and clean images, generate training/validation splits.
Model Selection & Design
Choose architecture (CNN, ViT, YOLO, U-Net, etc.) based on task.