Hire the Best Recommender Systems Specialists

Hi, I’m Shahab 👋 Need an AI solution, LLM app, data system, or Python workflow that actually solves a business problem? That’s what I help businesses build: practical machine learning systems, AI-powered applications, analytics tools, and cloud-based solutions that save time, improve decisions, and scale reliably. Send me an invite or message, and I’ll gladly review your project and suggest the best approach. 𝗔 𝗹𝗶𝘁𝘁𝗹𝗲 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲: I’m an AI/ML Engineer with 5+ years of hands-on experience building production-ready solutions across machine learning, data science, NLP, LLM applications, automation, and cloud platforms. My work goes beyond experiments and prototypes. I build systems designed for real business use: maintainable, efficient, scalable, and aligned with measurable goals. I’ve worked on projects involving predictive analytics, NLP tools, RAG systems, Retrieval-Augmented Generation, GPT integrations, AI chatbots, workflow automation, dashboards, API integrations, and cloud deployment. Whether joining an existing team or leading a project independently, I focus on clean execution and dependable results. 𝗖𝗼𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: 🧠 𝗔𝗜, 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 1. Machine Learning models for prediction, classification, and forecasting 2. Deep Learning solutions using TensorFlow / PyTorch 3. Natural Language Processing (NLP) applications 4. Predictive analytics and recommendation systems 5. Computer Vision solutions 6. Model optimization, evaluation, and deployment 7. Feature engineering and data preprocessing 🤖 𝗟𝗟𝗠, 𝗥𝗔𝗚 & 𝗚𝗣𝗧 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 1. RAG and Retrieval-Augmented Generation systems 2. AI chatbots and LLM-powered business applications 3. OpenAI API and GPT integration 4. LangChain and LlamaIndex-based applications 5. Prompt engineering and AI workflow design 6. Hugging Face model integration 7. Custom AI assistants for documents, support, search, and automation 💻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 1. Python applications and backend systems 2. Business process automation and workflow optimization 3. API development for AI/data products 4. Web scraping and data extraction tools 5. FastAPI / Flask services 6. Custom scripts for repetitive tasks ☁️ 𝗠𝗟𝗢𝗽𝘀, 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 1. Model deployment on Amazon Web Services 2. MLOps workflows for production ML systems 3. MLflow experiment tracking and model management 4. Model monitoring and performance tracking 5. CI/CD for ML pipelines 6. Containerized apps using Docker 7. Scalable production environments and cloud automation 📊 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 1. SQL databases and query optimization 2. ETL pipelines and automated data flows 3. Dashboard development using Power BI / Tableau 4. KPI reporting and executive dashboards 5. Data cleaning, transformation, and validation 6. Business intelligence solutions 𝗧𝗼𝗼𝗹𝘀 𝗜 𝗨𝘀𝗲: Python, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, FastAPI, Flask, Streamlit, LangChain, LlamaIndex, OpenAI API, GPT, Hugging Face, MLflow, Docker, Git, AWS, Azure, Google Cloud Platform, Power BI, Tableau I understand both the technical and business side of projects. That means I don’t just build features but I build systems that reduce manual work, improve decision-making, and create measurable value. If you need someone dependable who can turn your idea into a working AI, ML, or data solution, I’d be happy to help. Send me a 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 to your project, and let’s discuss how I can help.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

🌟 Python, R/Rstudio | 🤖 AI Development | 📈 Data Engineering | 📊 Data Analysis | 🧠 ML Model Training 🏆 Research Publications 👁️‍🗨️ Reproducing Repo Codebase - GitHub & Hugging Face ⏱️ Available across USA, Europe, UK, Australia, and preferred time zones 👋 Greetings, I help clients turn messy data into reliable Machine Learning models integration and deployment, Deep Learning pipelines, AI Research & Development solutions, and deployment-ready Python/R workflows. I work across Data Science, Data Analysis, Machine Learning, Deep Learning, AI, Computer Vision, NLP, Data Engineering, Web Scraping, Data Mining, LLMs, and R&D. Whether you need AI for research/development, Machine Learning for research/development, Deep Learning for research/development, or Data Analysis for business decisions, I can help you move from raw data to a working solution. 🎯 Core Services 📊 Data Science, Data Analysis & Statistics I clean, analyse, visualise, and explain complex datasets using Python, R/RStudio, SQL, Excel, dashboards, and statistical methods. I work on EDA, medical data statistical analysis, clinical data preprocessing, hypothesis testing, regression analysis, time series analysis, predictive analysis, survey analysis, financial analysis, research data visualisation, and business reporting. 🧠 Machine Learning & Model Training I build, fine-tune, evaluate, and optimise Machine Learning models for regression, classification, multi-class classification, forecasting, clustering, anomaly detection, churn prediction, sports data prediction, trading signals, risk scoring, recommendation systems, and business prediction. I focus on feature engineering, model training, model evaluation, explainable AI, and reproducible notebooks/scripts. 🏆 Research Support for ML & Deep Learning I support research-based Machine Learning, Deep Learning, AI, Computer Vision, NLP, and Data Science projects from idea to implementation. I can help from architecture design to final codebase. 🤖 AI Development, Deep Learning & Simulations I design and develop AI Development and Deep Learning solutions for research and development tasks, including AI/ML model fine-tuning, LLM fine-tuning, AI simulations, deep learning simulations, medical AI prototypes, epilepsy diagnosis models, sensor data modelling, multimodal AI, text-to-speech (TTS), text-to-image generation, model integration with web apps, and custom neural network pipelines. 👁️ Computer Vision, 2D/3D Data & Image AI I handle Computer Vision tasks across 2D image data, 3D data, video data, multi-camera data, medical images, satellite/geospatial data, and visual datasets. My work includes 2D image to 3D pose detection, 2D/3D pose estimation, 2D to 3D object modelling, image classification, image segmentation, object detection, object tracking, camera tracking, 3D inference, COLMAP workflows, and OCR data preparation. 💬 NLP, LLMs, RAG & Generative AI I work on text classification, embeddings, semantic search, RAG-based chatbots, LLM workflows, LLM fine-tuning, text mining, information extraction, document processing, chatbot development, and model integration with websites or web apps. 📈 Data Engineering, Scraping & Automation I build data collection, web scraping, website data extraction, data filtering, parsing, ETL, and automation workflows using websites, APIs, SQL databases, Excel/CSV files, and large structured datasets. I can scrape information from websites, clean sensor data, process sports data, mine data, structure raw files, and prepare datasets for Data Analysis, Data Science, Machine Learning, Deep Learning, AI Development, and Model Training. 👁️‍🗨️ Reproducing Repo Codebase - GitHub, Hugging Face If you have a research paper, GitHub repository, Hugging Face model, broken notebook, or incomplete codebase, I can reproduce, debug, modify, train, evaluate, document, and adapt it to your dataset. I can also fix dependencies and turn experimental code into a development-ready solution. ✅ What You Can Hire Me For ✅ Regression, classification, multi-class classification, forecasting, and prediction models ✅ Object detection, object tracking, image classification, and image segmentation ✅ 2D/3D pose estimation, 2D image to 3D pose detection, and 2D to 3D object modelling ✅ RAG-based chatbots, LLM fine-tuning, text classification, TTS, and text-to-image generation ✅ Trading bots, sports data, sensor data cleaning, clinical preprocessing, and medical AI ✅ Data cleaning, filtering, scraping, mining, ETL, dashboards, and research/business visualisation ✅ AI/ML model fine-tuning, AI simulations, Deep Learning simulations, and web model integration ✅ Research paper implementation and GitHub/Hugging Face repo 🌟 Why Work With Me? I focus on clean code, clear communication, practical delivery. You can send me a dataset, Excel/CSV file, database, API, sensor data, sports data, medical data, GitHub repo, Hugging Face model and I will turn it into a working solution.

AI Engineer | Machine Learning Engineer | LLM Developer | Generative AI | MLOps Expert I help businesses build scalable AI solutions using LLMs, Generative AI, and Machine Learning. Specialized in ChatGPT, RAG systems, AI chatbots, and production-ready ML pipelines. 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 8+ years of experience building end-to-end Artificial Intelligence solutions for finance, InsurTech, SaaS, and enterprise businesses. I specialize in Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI, helping companies develop scalable, production-ready AI systems. My expertise includes building LLM applications, ChatGPT-based solutions, OpenAI API integrations, AI chatbots, AI automation systems, and Retrieval-Augmented Generation (RAG) pipelines using modern tools and frameworks. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: - AI Engineer | Machine Learning Engineer | AI Developer - LLM Developer | Generative AI Expert | ChatGPT Developer - NLP (Natural Language Processing) & Deep Learning - RAG (Retrieval-Augmented Generation) systems - AI Chatbot Development & AI Automation - MLOps & LLMOps (Model Deployment, CI/CD, Monitoring) - Predictive Analytics & Data Science 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: - Python | PyTorch | TensorFlow | Hugging Face | LangChain - OpenAI API | MLflow | AWS SageMaker | FastAPI - Docker | Kubernetes | AWS | GCP | Azure - Vector DBs: FAISS | Pinecone | pgvector 𝐖𝐡𝐚𝐭 𝐈’𝐯𝐞 𝐁𝐮𝐢𝐥𝐭: - AI-powered fraud detection systems - Document intelligence & claims automation platforms - AI chatbots and ChatGPT applications - RAG-based knowledge systems with vector databases - Scalable Machine Learning pipelines & AI SaaS products 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫: - Custom AI & Machine Learning development - LLM application development (ChatGPT, OpenAI, LangChain) - Generative AI & AI automation solutions - RAG pipeline & vector database implementation - Model deployment (AWS, GCP, Azure) - MLOps & LLMOps pipeline setup 𝐒𝐤𝐢𝐥𝐥𝐬: Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), ChatGPT, OpenAI API Integration, LangChain, Hugging Face Transformers, AI Chatbot Development, Retrieval-Augmented Generation (RAG), MLOps, LLMOps, Model Deployment, API Development, AWS, GCP, Azure Cloud Services, Python Programming. 𝐖𝐡𝐲 𝐇𝐢𝐫𝐞 𝐌𝐞: - Strong expertise in AI, Machine Learning, LLM, Generative AI, and MLOps - Production-ready, scalable AI solutions - Clean, maintainable, and efficient code - Fast communication and reliable delivery - Focus on business-driven, ROI-focused AI systems If you're looking for an AI Engineer, Machine Learning Engineer, AI Developer, LLM Expert, ChatGPT Developer, or Generative AI Specialist, I can help you build, deploy, and scale intelligent AI solutions. 📩Let’s connect and turn your idea into a powerful AI product 🤝

I am a Senior Data Scientist with over 16 years of experience specializing in Generative AI, Machine Learning, and analytics within the telecom industry. My expertise includes building production-grade AI and NLP solutions, implementing Retrieval-Augmented Generation systems, and developing LLM-powered assistants. I have a track record in churn analytics and predictive modeling, enabling organizations to drive strategic insights and enhance customer retention. I excel in leading cross-functional teams to ensure scalable architecture and impactful business outcomes. Proficient in Python, PySpark, and various machine learning frameworks, I bring a robust engineering mindset to model deployment. If you seek a knowledgeable partner to elevate your data science initiatives, let's connect and discuss how I can contribute to your success.

👋 I'm a Machine Learning Engineer and AI Infrastructure Specialist with deep expertise in building scalable, secure, and production-ready AI systems powered by cloud-native data and ML pipelines. With 6+ years of experience, I bridge the gap between data engineering and intelligent AI deployment. 🔑 Why work with me? ✅ I architect high-performance AI pipelines integrating machine learning, deep learning, and agent-based systems. ✅ I specialize in developing end-to-end AI applications — from raw data ingestion to real-time inference and decision-making. ✅ I’ve designed predictive models, automated workflows, and LLM-integrated systems for enterprises across automotive, public sector, and e-commerce. ✅ I bring hands-on experience with OpenAI models (GPT-4), multimodal AI, and hybrid systems combining structured data with unstructured inputs (vision, audio, text). ✅ My expertise spans both model development (training/tuning) and deployment (MLOps, cloud-native serving). 📌 AI & Data Engineering Expertise ➡️ Machine Learning & Deep Learning – Scikit-learn, XGBoost, PyTorch, TensorFlow, Transformers, GANs, Diffusion Models ➡️ LLM Applications & Integration – GPT-4, OpenAI APIs, prompt engineering, RAG pipelines, LangChain, vector databases (FAISS, Pinecone) ➡️ Computer Vision – Object detection (YOLO), OCR (PaddleOCR, EasyOCR), video intelligence, face recognition ➡️ Data & Feature Engineering – Spark (PySpark), Kafka, Airflow, scalable ETL workflows ➡️ Cloud Platforms – AWS (S3, Glue, Redshift, SageMaker, Lambda), GCP (BigQuery, Vertex AI), Azure (Data Factory, Synapse, Databricks) ➡️ AI-Powered Automation – Intelligent document processing, agentic AI tools, and real-time AI decision systems 📌 AI Systems & Deployment ➡️ Model Deployment – FastAPI, Flask, Docker, TorchServe, Kubernetes (EKS), CI/CD pipelines ➡️ Infrastructure as Code – Terraform, CloudFormation for reproducible AI infrastructure ➡️ Monitoring & Optimization – Real-time model monitoring, performance tuning, feedback loops 📌 Specialties in Applied AI & Innovation ➡️ AI-Powered Data Pipelines – Blending structured data with multimodal ML for actionable insights ➡️ AI Agent Development – Tool-integrated GPT agents for decision support and automation ➡️ Predictive Analytics – Forecasting, anomaly detection, recommendation engines ➡️ Data to Intelligence – Building systems that turn raw data into contextual, intelligent outputs If you're building the future of AI — from intelligent automation and real-time analytics to LLM-powered applications — I bring the engineering depth and AI expertise to make it real, at scale. 📩 Let’s connect and bring intelligent systems to life — fast, reliable, and production-ready.