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abh2050/README.md

👋 Hi there, I'm Abhishek Shah, PMP

🚀 Data Scientist | AI/ML Engineer

📍 Portland, OR | ✉️ abh2050@gmail.com | 🔗 LinkedIn | ✍️ Medium | Spotify_Podcast

🔍 About Me

Hey, I’m Abhishek! I design, deploy, and optimize AI & ML solutions for real-world problems. With a solid background in machine learning, NLP, and AI engineering, I’ve built intelligent systems for automotive, semiconductor, and enterprise AI applications.

💡 My mission? Making AI practical, scalable, and impactful—from improving manufacturing efficiency to streamlining business workflows with LLMs.

📌 What I Do?

🔥 ML & AI Development → Building models that drive efficiency and accuracy.
🔎 RAG Pipelines & GenAI → Creating retrieval-augmented generation (RAG) solutions for smart document analysis.
📊 Data Science & MLOps → From ETL pipelines to cloud deployment.
🎯 AI Strategy & Training → Teaching teams how to use AI for better business outcomes.

💻 Tech Stack & Tools

🔹 ML & AI: Scikit-learn, TensorFlow, DataRobot, Claude, OpenAI API, OpenVINO
🔹 Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes
🔹 Data Engineering: Airflow, PySpark, PostgreSQL, MongoDB, T-SQL
🔹 Visualization & Analytics: Power BI, ADF, Qlik, Tableau
🔹 Programming: Python, SQL, Bash

🚀 Projects & Contributions

📌 BMW AI Solutions

  • Contribute to the AI program at BMW of North America, including the manufacturing site in Spartanburg, SC, strategically leveraging artificial intelligence to drive cost reduction and enhance quality across the organization.

📌 Intel AI & ML Work

  • 🔍 Built AI-powered anomaly detection for semiconductor defects → saved $250K/year
  • 🤖 Automated welding defect detection in Audi’s manufacturing → optimized 5M+ daily welds
  • 📊 Developed Azure Power BI dashboards for real-time analytics → improved data visibility

💡 Fun Facts About Me

🎮 Gamer | 📚 Mythology Buff |  Fitness Enthusiast
💨 Building my own AI startup to democratize AI for all!

📩 Let's Connect!

📩 Drop me a message on LinkedIn or check out my blog on Medium 🚀

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  1. searchengine Public

    This project is designed to facilitate advanced search functionality within legal documents using PySpark for data processing and Streamlit for the user interface. The system preprocesses the legal…

    Jupyter Notebook

  2. financial_doc_analyser Public

    This tool automates the retrieval and processing of SEC filings (e.g., 10-K, 10-Q, 8-K) using a company's ticker symbol. It intelligently converts PDFs and HTML documents into a structured vector d…

    Python 1 1

  3. financial_doc_analyser_local_ollama_Deepseek Public

    A Streamlit-based application designed to download, process, and analyze SEC filings (e.g., 10-K, 10-Q, 8-K). This tool leverages AI-powered embeddings, vector databases, and advanced document proc…

    Python 2

  4. Rag_with_knowledge_graph_neo4j Public

    This project implements a high-performance NLP pipeline for scientific document analysis, integrating a Neo4j knowledge graph for structured storage and retrieval. The Retrieval-Augmented Generatio…

    Python

  5. fake_image_detector_using_deepLearning_Gemini_AI Public

    This tool uses multiple detection methods to identify AI-generated images and videos

    Python

  6. hybrid_rag_with_bm25_reranker Public

    This is hybrid Rag with RAG withBM25 and reranker.

    Python