Hire the Best PyTorch Freelancers
in Pakistan

Struggling to find someone who can actually build your AI system not just talk about it? You're not alone. A lot of "AI freelancers" can string together a few prompts or plug in an API, but very few can actually design and code a working system from the ground up. That's the gap I fill. I build production-ready AI systems for businesses, specializing in Retrieval-Augmented Generation (RAG) pipelines, computer vision applications, and LLM powered tools. My work is hands-on engineering, not just prompting I design and code the underlying systems using Python, OpenCV, and modern LLM frameworks, so what you get is a working product your business can rely on, not a fragile proof-of-concept that breaks the moment real users touch it. I hold a Machine Learning Specialization from Stanford University (Coursera), and I stay hands-on across the AI stack from computer vision to LLM applications to RAG systems because real client problems rarely fit into one narrow box. Check out my portfolio below for examples of systems I've built and delivered for past clients. Here's how I like to work: clear communication from day one so you're never wondering where your project stands, code that's clean and maintainable rather than just functional, and honest timelines instead of overpromises. I treat every project like it's my own, not just another gig to close out. If you need a RAG system, a computer vision pipeline, or an LLM application built right. send me a message and let's talk about your project. I'm happy to hop on a quick call to understand what you're trying to build before any commitment on your end.

With 5+ years across Computer Vision, NLP, and full-stack AI development, I've delivered: 🎯 Computer Vision & Object Detection — Real-time YOLOv8/v9 pipelines with 96.8% accuracy (passenger detection system) — Parking occupancy detection, multi-camera feed processing, ROI-based classification — Medical image AI: 96% pneumonia detection, 94% brain tumor classification — OpenCV, image segmentation, hyperspectral imaging (from MSCS research) 🤖 NLP, LLMs & RAG Systems — RAG-based chatbots with real-time database integration — Healthcare NLP: 95% F1-score for medical entity extraction — AI Purchase Agent with reorder forecasting & supplier comparison (5★ client review) — GPT, BERT, LangChain, vector databases, semantic search 📊 Data Science & Fraud Detection — Real-time fraud detection: 99.2% accuracy at 10,000+ transactions/minute — ML pipelines on Azure, MLflow experiment tracking — XGBoost, ResNet, CNN, TensorFlow, PyTorch ⚙️ Backend & Deployment — FastAPI, Flask, Docker, Apache Kafka — Azure cloud deployment, SQL Server — Clean, documented, production-grade Python code I hold an MSCS in Deep Learning from GIK Institute and a BSc in AI/ML from Bahria University, and I'm currently Senior Data Scientist at SeethruTech. → Available 30+ hrs/week | 0–4 hr response | 100% delivery rate → Let's discuss your project — I respond within 2 hours.

Get Production grade AI systems built and integrated for your services business in 30 days. ✅ Top 1% AI Freelancer ✅ Top Rated Plus ✅ 100% Job Success Score ✅ $90K+ Earnings ✅ 90%+ Model Accuracies Deployed in services sectors Over the years I have built production grade AI systems for SMBs combining LLM training, fine-tuning and deployment at scale. Here's what I deliver: ✔️ ML Model Training: High performance pipelines that deliver accuracy using scikit-learn stack for e-commerce, healthcare, fintech. ✔️ LLM Fine-Tuning: Domain specific LLM fine-tuning using PyTorch, HuggingFace transformers that solve benchmarks and allow you to ship intelligence to users. ✔️ Inference Optimization: Deploy the LLMs on NVIDIA clusters (H100, H200, B200) such that they sustain the production load of long LLM chats using SGLang, vLLM, Tensor-RT and Nvidia Dynamo ✔️ RAG Solutions: Help reduce the model costs and improve the model efficiency using Milvus, Qdrant, Embedding models, LangChain and LangGraph. ✔️ Data Engineering: High-throughput pipelines for warehouses using Kafka, BigQuery, Prometheous, SQL and Python. ✔️ Crypto AI: Bots that continously read the market signals and make trading decisions based on the LLMs and in-house ML models. ✔️ Fintech: AI solutions powered by Claude, Qwen, DeepSeek that solve taxation problems for personal taxes. ⭐ Recent Client Feedback "He cleaned up training artifacts (models, calibrators, label maps, vendor vocab), helped us get an acceptance bar we can trust. He handled data engineering + deployment details without drama. We shipped on his work. Strongly recommend and would hire again." Let's have a FREE consultation call to understand your requirements and you get a production level roadmap for your problem.

I design and build reliable AI, LLM, RAG, NLP, machine learning, deep learning, and automation systems where retrieval quality, execution logic, and workflow stability matter. What I Build: ✅ RAG Systems: hybrid semantic + BM25 retrieval, reranking, vector databases, evaluation pipelines ✅ LLM Agents: LangChain, LangGraph, LlamaIndex, multi-step AI agents, tool calling ✅ NLP Pipelines: text classification, summarization, sentiment analysis, embeddings, POS tagging ✅ Language Models: RNN, LSTM, Transformers, BLEU/ROUGE evaluation ✅ ML/DL Systems: classification, regression, clustering, forecasting, CNNs, GANs, XGBoost ✅ Computer Vision: image processing, feature extraction, object detection, YOLO, transfer learning ✅ Robotics & Autonomous Systems: ROS, robot perception, localization, navigation, sensor fusion ✅ Graph AI: Graph Neural Networks, knowledge graphs, graph embeddings, graphical models ✅ Probabilistic AI: Bayesian networks, stochastic systems, Markov models, variational inference ✅ HCI/BCI & Signal Processing: EEG preprocessing, FFT, filtering, feature extraction, ML classification ✅ AI Automation: n8n, Make, OpenAI, Claude, Grok, Ollama, API integrations ✅ AI Lead Generation: scraping, enrichment, data cleaning, LLM-powered research automation ✅ Research & Prototyping: LaTeX, Overleaf, literature review, academic writing, journal research Core Skills: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, Generative AI, RAG, Vector Search, AI Agents, Prompt Engineering, Retrieval Evaluation, Data Preprocessing, Feature Engineering, Model Training, Hyperparameter Tuning, Transfer Learning, Reinforcement Learning, Explainable AI, Computer Vision, Robotics, ROS, Graph Neural Networks, Knowledge Graphs, Probabilistic Models, Stochastic Systems, Applied Linear Algebra, Optimization, Signal Processing, EEG Analysis, Human-Computer Interaction, Research Methodology. Tools: Python PyTorch TensorFlow Keras, Scikit-learn HuggingFace LangChain LangGraph LlamaIndex FAISS Pinecone ChromaDB, FastAPI OpenAI API Claude API Ollama Grok Jupyter Colab Anaconda PyCharm MATLAB ROS Overleaf LaTeX. I focus on practical AI systems that are testable, maintainable, and reliable after delivery. I clarify requirements early, check data quality, define evaluation criteria, and build workflows with validation, visibility, and error handling. If you need an AI prototype, RAG chatbot, NLP model, ML pipeline, research implementation, or automation workflow, send me your use case, and I’ll suggest a clear approach.

I build computer vision systems that actually work in production, not just in a Jupyter notebook demo. I've handled CV projects end to end: raw dataset, trained model, deployed API. If you need a proof of concept in two weeks or a full production pipeline, I can scope it clearly and deliver on time. What I work on: Object Detection & Tracking (YOLOv8, Faster R-CNN, DETR) Image Segmentation (SAM, Mask R-CNN, U-Net) Medical Imaging & Diagnostics (X-ray, MRI, pathology slide analysis) Real-Time Video Processing & Edge Deployment (ONNX, TensorRT, OpenCV) Custom Dataset Creation, Annotation Pipelines & Model Fine-Tuning Industrial Visual Inspection & Defect Detection Tech stack: Python, PyTorch, TensorFlow, OpenCV, Roboflow, HuggingFace, FastAPI, Docker If your project involves cameras, images, or video, message me and let's talk about what you're building. (ignore this line, for search only): computer vision developer, YOLOv8 expert, object detection engineer, image segmentation freelancer, PyTorch developer, OpenCV expert, medical imaging AI, real time video processing, edge AI deployment, TensorRT ONNX developer

I help AI teams build production-ready datasets and training computer vision models that actually work in the real world from precise image annotation to end-to-end object detection pipelines using YOLO. With a Mathematics degree (KIU) and an AI & Data Science diploma (NUST), I bring engineering-level rigor to every dataset I touch — not just raw labeling. What I deliver Data Annotation & Labeling Bounding boxes, polygons, semantic & instance segmentation, video tracking , keypoint annotation, and 3D bounding box labeling. I work with CVAT, LabelMe, Roboflow, and SuperAnnotate, and deliver in COCO, Pascal VOC, MOT and YOLO formats. Computer Vision & Model Training Object detection and image classification using YOLOv8/v9, OpenCV, TensorFlow, and PyTorch. I've built systems for weld defect detection, grapevine segmentation, and architectural floor plan analysis. AI Training Data Pipelines Dataset cleaning, preprocessing, augmentation, and quality validation — optimized for model convergence. I understand what makes a dataset trainable, not just labeled. ── Why clients trust me ── - 5-star rated on Upwork with proven delivery - Former CTO with hands-on experience building AI products - IBM & Google certified in Machine Learning and Data Analytics - Fast turnaround with 0–4 hour response time Ready to build a dataset that trains well? Click "Invite to Job" and let's scope your project.