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With a Ph.D. in Industrial/Organizational Psychology and a Masters in Applied Statistics and Data Analytics, I bridge data science and organizational strategy. I specialize in transforming complex, multi-source data into clear, actionable insights that support decision-making across business, HR, and financial contexts. I’ve worked with performance, sales, and engagement datasets to develop KPIs, identify gaps/patterns, automate reporting, and design analytics frameworks that stay aligned with organizational goals. My expertise spans data cleaning, visualization, and predictive modeling using Python, R, SQL, and ExceI, along with strong experience in survey design, psychometrics, and text analytics. I can help you with: • Data Cleaning, Validation & Integration – Building and maintaining clean, reliable datasets from multiple sources. • KPI & Dashboard Development – Defining and visualizing performance metrics that align with strategy. • Survey Design & Workforce Analytics – Designing and analyzing surveys for employee experience, leadership, and DEI. • Predictive & Statistical Modeling – Regression, SEM, and machine learning for forecasting and insights. • Data Storytelling & Strategy – Turning analytics into narratives and recommendations for executives and teams. My goal is simple: to make analytics practical, reliable, and strategic, helping organizations turn data into smarter action.

🏅 Top Rated AI/ML Expert on Upwork (Top 1%) 🏅 AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows 🏅 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients 🏅 Experience Across Microsoft, Google, American Express & High-Growth Startups 🏅 Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL 🔹 LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problems—from idea to deployment. My work includes document intelligence systems, AI copilots, enterprise search, summarization engines, Q&A systems, and workflow automation platforms. Built solutions for: ✔ Due diligence copilot for investment workflows ✔ Legal AI research platforms ✔ Resume/CV parsing applications ✔ AI-powered document summarization systems ✔ Knowledge retrieval platforms using RAG 🔹 AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: ✔ Multi-agent workflows ✔ AI automation using OpenAI, Claude, LangChain & LangFlow ✔ Process automation using n8n ✔ Document processing pipelines ✔ Internal business workflow automation 🔹 NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: ✔ Named Entity Recognition ✔ Classification Models ✔ Clustering Models ✔ Recommendation Systems ✔ Text Processing Pipelines ✔ Custom ML model development 🔹 Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: ✔ Credit risk modeling ✔ Fraud analytics ✔ Customer segmentation ✔ Forecasting ✔ Marketing analytics ✔ Behavioral modeling 💼 Whether you're a startup building your first AI product or an enterprise looking to integrate Generative AI into existing workflows, I can help with: AI Strategy → Architecture → MVP Development → Deployment I combine deep analytical expertise with hands-on experience building real-world AI products that businesses actually use.

Ph.D. data scientist, 10+ years applied ML, Top Rated on Upwork with 4,000+ hours. My recent work is LLM agents in production. Reliability problems that only surface after deployment, where data science depth matters more than most expect. My background started in quantitative work: forecasting, trading systems, time series, probabilistic models. That shapes how I think about AI systems. I know the failure modes that show up after you deploy, and I know what "reliable enough" means for a given problem. Not just in theory. What I work on now: AI agents and multi-agent systems. Reasoning pipelines, orchestration, tool calling, human-in-the-loop controls. The hard part is at the boundary: where the LLM reasons, where deterministic code takes over, and what happens when the model is confidently wrong. RAG and document intelligence. Hybrid retrieval, reranking, citation tracing. Systems where every answer needs to be source-traceable, because "probably correct" was not good enough. Python backends with FastAPI on AWS, GCP, and Azure. The layer connecting AI to the rest of the product. LLM integration and evaluation: Claude, OpenAI, open-weight models. Structured outputs, function calling, eval pipelines. I have also reviewed production code for LLM training pipelines, so I have seen model behavior across thousands of real inputs I did not design. I work best with clients who have a specific, real problem and want a system their team can maintain. Stack: Python, FastAPI, Claude API, OpenAI API, LangChain/LangGraph, pgvector/Pinecone/Qdrant, PostgreSQL, Docker, AWS/GCP/Azure.

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 professional with rich background of work experience related to machine learning, predictive modelling, visualisation and data analytics helping businesses in decision making and deriving actionable insights. Over the years I have been associated with two start-ups where I had significant contribution as lead Data Scientist. I have significant contribution as an independent consultant in Upwork as endorsed by my clients in their feedbacks. I had been associated with various industries like e-commerce, retail supply, marine, healthcare and fintech. Below is a summary of my skill sets: Skills: Data extraction, transformation and loading, cleaning and organising, data visualisation and reporting, automation of reports, statistical analysis, and predictive models using machine learning, Time series analysis, and Classification Models. Machine Learning and AI Models: Supervised and Unsupervised learning, Regression Analysis(Linear, Multiple, Multivariate and Logistic), Classification algorithms like Factor Analysis, KNN, Principal Component Analysis, Time Series models(ARIMA, SARIMAX, Prophet, LSTM) CNN and NLP models Cloud Platforms: AWS Sagemaker, GCP Visualisation and Reporting: Excel (Advanced Excel, Macros, Dashboard, Pivot Tables), Tableau, R Studio, Automation of reports using Excel VBA Data Extraction: SQL, NOSQL Programming Languages: Python, R Studio, Visual Basic Academic Qualification: BTech in Electronics and Communication Engineering Certifications: Post Graduate Certification in Artificial Intelligence and Machine Learning from Great Lakes Some of the projects I significantly contributed in is: 1. Pricing forecast using machine learning for an e-commerce website using Python 2. Designing a scoring model for risk category for shipping vessels in marine industry 3. An web application using machine learning to provide revenue forecast for a retail company 4. Developing a recommender system for an apparel brand using Python and Spark I work as a full-time freelancer. So, I can devote my time entirely to the projects I take up and can be available across any time-zone if required. Looking forward to work with you!

I am working as full-time ML engineer at META. In past I have worked in Google, Amazon, and LinkedIn, where I shipped over 100 Machine Learning projects and Generative AI models into production. Today, more than 210,000 YouTube subscribers and 100s of developers on GitHub follow my work in Machine Learning, Artificial Intelligence, Agentic AI, Deep Learning, RAG, and Gen AI. ✅ My No-Risk Guarantee (100% Money-Back): I stand behind my work with a 100% Money-Back Guarantee. If my deliverables don't meet your expectations, you won't pay a single penny. NO TERMS AND CONDITIONS. NO QUESTIONS ASKED. My Credentials & Authority: ⭐ Expert Vetted Freelancer (Ranked in the top 1% globally) 🏆 💼 Current Role: Full-time Engineer at Meta 🎯 🏛️ Past Experience: Full-time Engineer at Google, Amazon, and LinkedIn 🚀 🎓 100+ certifications in AI and Machine Learning from top institutions ✅ 🥇 Ranked Top 10 Elite AI Freelancer on multiple platforms 📈 🎥 Creator of a leading YouTube channel with 200,000+ subscribers ✨ 💻 Leads a developer community of 100s on GitHub 💻 🚀 The Value I Deliver: I specialize in helping Small to Medium Businesses and Early-Stage Startups implement the same scalable Machine Learning and Generative AI systems that top tech companies use to create big positive impact in the world. I turn complex ideas into profitable, production-ready systems, backed by a proven track record that has contributed to $10M+ in client revenue and the successful deployment of over 150 unique AI models. 💡 Why Choose Experience Over Potential?: You are hiring me for my experience, not potential. The reality is choosing the wrong freelancer can set you back months, drain your budget, and cost you your competitive edge. I help you avoid these pitfalls. As seen with global giants like NVIDIA vs. Intel, a single wrong step in AI adoption can decide the winners and losers. I offer you high-stakes reliability. 👀 Want proof? Scroll through my profile to see what my clients have to say in their testimonials; The results speak for themselves. 🙏 Positive Impact on Society: On my Youtube channel, I occasionally showcase how a portion of my Upwork earnings contributes to positive social impact, all made possible by amazing clients like you. I am also the creator of the Generative AI-101 series. 🤝 Ready to Integrate AI into Your Business? Text me here on Upwork to discuss your project roadmap. I will simplify the complex AI process and ensure your project is built on the same robust frameworks used by Big Tech companies. P.S.: Because of my current full-time role at Meta, I have very limited bandwidth and am only able to reply to a few select clients. If you experience a delay in my response, I appreciate your patience.