Hire the Best Machine Learning Engineers in Islamabad, PK

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.

I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

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.

🏆 Data Scientist and Machine Learning Engineer 💼 2+ Years of Experience In Data Science | | Data Analysis | Machine Learning | Deep Learning | Time Series Modelling Hi, I am Jazib, and here are 🌟 The reasons for You to Hire me?🌟 ✔ Collaborate closely to understand the problem domain. ✔ Propose potential solutions based on our understanding. ✔ Refine the solution until it meets your satisfaction. ✔ Verify the product and results with your requirements. ✔ Offer unlimited revisions until you are happy! Now, let me tell you about myself. I'm a seasoned Data Scientist and a Machine Learning Engineer with a background in software engineering and I bring over 2.5 years of hands-on experience developing end-to-end machine learning projects using TensorFlow, PyTorch, and Scikit-Learn. Throughout my career, I've successfully delivered multiple projects for clients, garnering praise for my abilities to not only build Machine Learning models but also make them impactful by making them transparent and usable for the layman. My principles are to use my expertise in Machine and Deep Learning to create impactful and yet useful models that can be deployed easily as well. My portfolio includes a diverse range of Projects, including: 🌟Data Agnostic Financial Time Series Forecasting (FinForecastHub) - Making a product that automates the collection, cleaning, and preprocessing of a company's financial data, and trains an automated deep learning-based time-series forecasting model whose architecture is completely generic and data agnostic. 🌟Credit Worthiness in Microfinance Banks using Explainable AI - a research project aiming at using Explainable AI / Trustworthy ML to make models that can do credit scoring of loan applicants. The project uses multiple machine learning models including ensembling and tree models like XGBoost to classify loan applicants and then makes models transparent for lay-man like Bank Employees using Explainable AI tools like SHAP, so that bank employees can trust the process. 🌟Food Calorie Estimation Using OpenCV and YOLO - using Image Processing and Object Detection techniques to classify foods and then predicting calories in those foods. The project aims to help people fight obesity, and keep track of their calories. 🌟Deep Learning for Time Series Financial Forecasting - a platform where business analysts can upload the company's financial dataset and our state-of-the-art (SOTA) non-transformer based deep learning models like TinyTimeMixer (TTM) on the backend will be trained on runtime and provide accurate financial forecasts on user interface. The project aims to reduce latency and provide accurate results given dataset of any nature (small or big, clean or uncleaned, processed or unprocessed). Additionally, I believe in following the industry process of software development that includes collecting user stories/requirements, doing extensive design planning, and then using best coding practices to develop a simpler and appealing solution, I also believe that user feedback is the most important element of software development that makes you create a useful effective product. Now, as I've discussed my projects and experience, I want you to know that if you're looking for a talented Data Scientist and a Machine Learning Engineer who can transform your requirements into real end-to-end product then I'm the choice. Let's connect so that I can get to know what you want!

Data Scientist | AI & ML Engineer | Data Analyst | Python | SQL | Power BI | LLM & RAG Hi, I'm Shahab 👋 Most businesses are sitting on data they're not using and drowning in manual work they shouldn't be touching. I build the machine learning models, AI applications and dashboards that fix both and I make sure they actually ship, not just sit in a notebook. Over the past 5+ years I've helped companies turn messy data and repetitive workflows into predictive models, LLM-powered tools, and BI dashboards their teams actually use to make decisions. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱: - Data analysis & exploration, turning messy raw data into clear answers and insights - Statistical analysis & A/B testing, hypothesis testing, significance, and confidence behind your decisions - Data visualization & Power BI dashboards, reports non-technical stakeholders actually understand - Predictive & forecasting models, churn, demand, pricing, classification - AI assistants and chatbots powered by LLMs (OpenAI, Hugging Face) - RAG systems that let a model answer from YOUR documents and data - Power BI dashboards that turn raw data into clear, decision-ready reporting - Python automation that removes hours of manual work every week - End-to-end data pipelines cleaning, processing, deployment 🛠️ 𝗠𝘆 𝗧𝗼𝗼𝗹𝗸𝗶𝘁: - 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Python, Pandas, NumPy, R, RStudio, SQL, Excel - 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: SciPy, statsmodels, hypothesis testing, regression, A/B testing - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-Learn, TensorFlow, PyTorch, XGBoost - 𝗟𝗟𝗠𝘀 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: LangChain, RAG, Vector DBs, OpenAI, Hugging Face, AI Agents - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜: Power BI, Plotly, Matplotlib, Seaborn - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: FastAPI, REST APIs, Docker, AWS, Streamlit, Git/GitHub Whether it's a machine learning model, an AI chatbot, a RAG application, a Power BI dashboard, or an automation that buys back your week send me a message or invite me to your job. Tell me the problem you're trying to solve and I'll tell you the best way.

SUMMARY Worked with Over 800+ Global Clients. I'm a Machine Learning Engineer with a strong background in Computer Science and a Master's in Data Analytics. Experienced in technical support, AI development, and client service delivery. Proven ability to lead small teams, manage system rollouts, and solve problems in fast-paced environments. Passionate about learning, adapting, and delivering high-quality solutions in both remote and on-site settings.