Hire the Best Machine Learning Engineers
in Pakistan

With over 6 years of experience and a 100% Job Success Score on Upwork, I have delivered 150+ Machine Learning and Deep Learning solutions for startups and enterprises. I specialize in taking raw concepts and turning them into scalable, deployed AI models. Core Competencies: Computer Vision: Face Detection/Recognition, Object Segmentation, GANs, and Image Reconstruction. Deep Learning: Custom model training using TensorFlow, Keras, and PyTorch. End-to-End Development: From data collection, labeling, and refinement to model training. Deployment: MLOps pipelines on AWS, Google Cloud, Azure, and DigitalOcean; edge deployment on Android and embedded devices. Whether you need a complex video classification system or a real-time object tracking pipeline, I bring a senior-level perspective to ensure your project is efficient and error-free. Let’s discuss how I can bring your AI project to life.

𝐀𝐈 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐫𝐮𝐧𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 — 𝐧𝐨𝐭 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐬𝐢𝐭𝐬 𝐢𝐧 𝐚 𝐝𝐞𝐦𝐨. I design and build 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 ai systems that combine 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, and 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 into one cohesive, production-ready ecosystem. 𝐅𝐫𝐨𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 → 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 → 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 → 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 → 𝐮𝐬𝐞𝐫-𝐟𝐚𝐜𝐢𝐧𝐠 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐈 𝐡𝐚𝐧𝐝𝐥𝐞 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐮𝐬𝐚𝐠𝐞. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 (𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝) 🤖 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 I specialize in "Agentic" workflows where AI can use tools, remember context, and collaborate: Frameworks: LangGraph, CrewAI, and LangChain. Capabilities: Tool-calling, persistent memory, and multi-agent systems. Agentic Workflows: n8n-based logic for complex decision routing. Use Cases: Automated Lead Qualification, AI Support Resolution, and Operations Routing. 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I build custom ML pipelines that turn raw data into foresight: Forecasting: Predictive analytics for sales and market trends. Security: Anomaly and fraud detection systems. End-to-End MLOps: Data collection, feature engineering, model training, and monitoring. ⚙️ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I replace manual overhead with event-driven ecosystems: Platforms: Expertise in n8n, Make, and Zapier. Custom Logic: Deep Python-based automations for complex logic. Impact: Real-time reporting, automated sales pipelines, and AI-triggered operations. 🌐 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I provide a single point of accountability for your entire application: Backend: Production-grade FastAPI and Node JS APIs with RAG integration. Frontend: React dashboards and AI Copilot interfaces. Knowledge Bases: Vector databases like Pinecone and Weaviate for enterprise RAG. 🛠️ 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 AI & Agents: LangGraph, CrewAI, LangChain, OpenAI, Claude, Gemini. ML Systems: Python, PyTorch, Scikit-learn, Hugging Face. Automation: n8n, Make, Zapier, Custom Python Scripting. Full-Stack: React, FastAPI, Node JS, PostgreSQL, Vector Databases. Infrastructure: AWS, GCP, Docker (Microservices-ready). 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 Systems Thinking: I design interconnected AI ecosystems, not isolated features. Production-First: No fragile prototypes. Every system is built to be secure and scalable. Direct ROI: I focus on automation that pays for itself by reducing overhead and error. 𝐋𝐞𝐭’𝐬 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈.

I provide work to customers with a guarantee of quality and also offer a range of other services with excellence across Python projects in Machine Learning, Deep Learning, and Generative AI. Our motto: Quality, Creativity, and Client Satisfaction. I have been working on various projects that I mention below: ✨ Experience in Machine Learning (Supervised learning, Unsupervised learning, Reinforcement learning) ✨ Experience in Generative AI (LLM-based apps, RAG pipelines, AI Agents, Prompt Engineering) ✨ Experience in Natural Language Processing (Text Classification, NER, Sentiment Analysis, Embeddings) ✨ Experience in Time Series Forecasting (RNNs, LSTM, ARIMA, Prophet, Others) ✨ Experience in Deep Learning (ANN, CNN, RNN, LSTM, GAN, Transformers, Others) ✨ Experience in Computer Vision (Object Detection, Face Recognition, Others) I can also handle any project related to these: ✨ Classification Related Problems ✨ Regression Related Problems ✨ Clustering Related Problems (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering, Others) ✨ NLP Tasks (Text Preprocessing, Tokenization, Topic Modeling, Text Summarization) ✨ RAG-based Chatbots & Knowledge Assistants (LangChain, LlamaIndex, FAISS, Pinecone) ✨ AI Agents (OpenAI, Claude API, Tool Use / Function Calling, Multi-agent Systems) ✨ WhatsApp / Telegram / Web Chatbots powered by LLMs ✨ Data Analysis (Pandas, NumPy, Others) ✨ Data Visualisation (Matplotlib, Seaborn, Plotly) ✨ Dimensionality Reduction (PCA, LDA) ✨ Reinforcement Learning (Policy, Reward, DQN, Others) ✨ Prediction Related Problems And I will train and predict on your dataset using whichever models suit your problem best, such as: ✨ Artificial Neural Network (ANN) ✨ Convolutional Neural Network (CNN) ✨ Recurrent Neural Network (RNN) ✨ Long Short Term Memory (LSTM) ✨ Transformer-based Models (BERT, GPT-style architectures) ✨ Large Language Models (OpenAI GPT, Anthropic Claude, Open-source LLMs) ✨ Others Whether it's a classic ML pipeline, an NLP system, or a custom AI agent powered by LLMs, I focus on building solutions that are accurate, explainable, and production-ready.

Experienced Data Scientist with a track record of over 5 years in data analysis, statistical modeling, and machine learning. Delivered more than 20 projects to clients all over the world.

I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

I’ve helped 50+ clients deliver quality products 3× faster while saving up to $10K/month in salaries using AI-assisted coding powered by solid computer science and machine learning fundamentals. I am a machine learning enthusiast interested in turning your meaningless data into actionable information. With 11 years of software development and 8 years specializing in ML, I’ve built and deployed end-to-end AI solutions across industries, from conversational bots to vision-based grading systems. I also hold a Master’s degree in Machine Learning. Currently, I lead a 45-engineer team delivering production-grade ML products. Our portfolio includes: ✦ Avatare — Conversational AI platform ✦ Compugrade — Revolutionary AI assisted autograding for K-12 ✦ AffectCX — a live conversational bot helping pharma sales teams ✦ Conversational AI Platform — multimodal retrieval + generation system ✦ Card Grading App — computer-vision-based grading for collectibles ✦ Image Steganography (security + CV) ✦ Image Super-Resolution (enhancement using GANs or diffusion) ✦ Urdu OCR (language-specific, low-resource script) ✦ Conversation Detection (speaker recognition / dialogue analytics) ✦ Generative Text/Code Assistant, Multimodal App, Edge-AI deployment 🧠 Technology Stack: Python (full scientific stack) • PyTorch • TensorFlow • Keras • JAX/Flax • ONNX/TFLite/CoreML • OpenCV • Caffe2 • MxNet • Fastai • Ray / Dask / Spark • Docker / Kubernetes • Cloud (AWS/Google/Azure) • Edge / TinyML 🤖 Machine Learning / AI Stack: Generative AI: GPT‑4, Llama 2, DALL·E, Whisper, Claude, Stable Diffusion • Traditional ML: Random Forests, KNN, K-Means, SVM, Logistic Regression • Deep Learning: Neural Networks (ANN), CNNs, RNNs, GANs, Transformers, BERT, Graph-NNs • Modern paradigms: Self-Supervised Learning, Contrastive Learning, Multimodal Learning, Federated Learning • Architecture: Retrieval-Augmented Generation (RAG), Vector-Databases, MLOps (CI/CD, model-monitoring, versioning) 🧩 Problems I’ve Worked On: Image Classification • Object Detection • Semantic / Instance Segmentation • Face Recognition • Neural Style Transfer • Image Super-Resolution • Image Generation (GANs/Diffusion) • Text Classification • Sentiment Analysis • Time-Series Forecasting • Optical Character Recognition (OCR) • Multilingual / Urdu OCR • Information Retrieval • Agronomy Chatbot • Conversational AI Platform • Game Agent with Reinforcement Learning • Pokémon Card Grading App • Image Steganography • Edge/Embedded AI Inference • Multimodal Conversation Detection Above all, I am a quick learner and like to face challenges head-on! Clients who have worked with me like the commitment and the quality of work I do. Feel free to contact me.