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  • Ex-NSDC, Ex-FarEye
  • Germany

Achievements

Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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Hirdeshpal15/README.md

Hi, I'm Hirdesh 👋

AI/ML Engineer (Junior) | GenAI, AI Agents & Workflow Automation

  • Building practical AI solutions using Python, LLMs, RAG, Machine Learning, and Data Systems.
  • Hands-on internship experience in AI workflow automation and applied GenAI, combined with 2 years as a Data Scientist and independent project work in RAG, ML pipelines, and AI engineering.
  • Open to AI Engineer, AI Solutions Engineer, GenAI Engineer, Machine Learning Engineer, and Applied AI roles across Europe.

🔥 What I Build

🤖 AI Agents & Agentic Workflows Building AI systems that automate tasks, orchestrate workflows, and improve operational efficiency.

🧠 GenAI & RAG Applications Developing Retrieval-Augmented Generation (RAG) systems, AI assistants, and LLM-powered applications.

⚙️ Machine Learning Solutions Creating end-to-end ML pipelines covering data processing, model development, evaluation, and deployment.

🔗 AI Automation & Integrations Integrating AI services, APIs, and business workflows to create practical, scalable solutions.

🧠 Tech Stack

  • Languages: Python • SQL

  • AI & Machine Learning: Machine Learning • NLP • LLMs • RAG • Prompt Engineering • AI Agents

  • Libraries: Pandas • NumPy • Scikit-learn • PyTorch

  • Data & Automation: ETL Pipelines • Data Modeling • Workflow Automation • API Integration

  • Visualization: Tableau • Power BI

  • Cloud & Infrastructure: Azure • Docker • CI/CD • FastAPI • ChromaDB

🚀 Featured Projects

🤖 Enterprise Service Desk Agent (RAG + Tool-Calling AI)

Evolved from a prompt-based chatbot to a unified RAG + tool-calling agent for enterprise IT support 👉 Technologies: Azure AI Foundry, Azure OpenAI GPT-4.1, RAG, tool calling, evaluation & monitoring
🔗 View Project

🧠 Industrial Document AI Assistant (RAG System)

End-to-end RAG system for document Q&A with hallucination control and evaluation metrics 👉 Technologies: ChromaDB, embeddings, FastAPI, Docker, CI/CD, Azure deployment
🔗 View Project

⚙️ End-to-End ML Pipeline — Diabetes Prediction

Production-style pipeline: model training → FastAPI serving → Streamlit UI, containerized and deployed 👉 Technologies: scikit-learn, FastAPI, Docker, GitHub Actions CI/CD, Azure App Service
🔗 View Project

🗄️ Data Warehouse & Analytics (SQL, Medallion Architecture)

SQL Server data warehouse consolidating ERP/CRM data using Bronze/Silver/Gold architecture 👉 Technologies: ETL, star schema design, T-SQL
🔗 View Project

📊 Tableau Analytics Portfolio

6 published dashboards across sales, HR, and public safety domains, 300+ combined views 👉 Technologies: Tableau Public, data visualization
🔗 View Project

🎯 Current Focus

  • AI Agents & Agentic Workflows
  • Generative AI Applications
  • Retrieval-Augmented Generation (RAG)
  • Machine Learning Engineering
  • AI Workflow Automation
  • Production-Oriented AI Systems

📫 Connect With Me

📧 hirdeshpal15@gmail.com
🔗 LinkedIn: https://linkedin.com/in/hirdesh-pal/

⭐ Open to AI Engineer, AI Solutions Engineer, GenAI Engineer, Machine Learning Engineer, and Applied AI opportunities across Europe

Pinned Loading

  1. GenAIOps_Learning_Agent GenAIOps_Learning_Agent Public

    Azure-native GenAIOps learning platform featuring enterprise RAG, CI/CD, observability, IaC, Azure AI Search, Key Vault, and OpenTelemetry.

    Python

  2. RAG-Based-AI-Assistant RAG-Based-AI-Assistant Public

    End-to-end RAG-based AI system for industrial document QA using FastAPI, Streamlit, ChromaDB, and LLMs with hallucination control, explainability, evaluation metrics, Docker, CI/CD, and Azure deplo…

    Python

  3. End-to-End-ML-Pipeline End-to-End-ML-Pipeline Public

    End-to-end ML system for diabetes prediction with FastAPI, Docker, CI/CD, and Azure deployment

    Python

  4. Image_Classification_CNN Image_Classification_CNN Public

    Convolutional Neural Network (CNN) model built using TensorFlow/Keras to classify images from standard datasets like CIFAR-10. Demonstrates core deep learning techniques including dropout, batch no…

    Jupyter Notebook

  5. business-analytics-dashboard business-analytics-dashboard Public

    📊 Interactive Business Analytics Dashboard built with Tableau Public and deployed via GitHub Pages. Provides insights into workforce distribution, employee trends, and HR performance metrics.

    HTML

  6. Data-Warehouse-SQL Data-Warehouse-SQL Public

    Building a modern data warehouse with SQL Server, including ETL process, data modeling and analytics.

    TSQL