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rahulbhoyar1995/README.md

Rahul Bhoyar

AI & Software Professional | Generative AI Specialist | AI Engineer at DFKI Berlin | MBA in Artificial Intelligence

About Me

Hello! I’m Rahul Bhoyar, an innovative and driven AI & Software Professional with deep expertise in building intelligent, scalable, and impactful AI solutions. My technical foundation lies in Generative AI, Large Language Models (LLMs), and Machine Learning, with a strong track record of applying these technologies in real-world scenarios across industries.

Currently, I am working as an AI Engineer at the German Research Center for Artificial Intelligence (DFKI) in Berlin, one of Europe's leading research institutes for applied AI. My work involves developing advanced AI systems, contributing to cutting-edge research projects, and exploring novel applications of LLMs and autonomous agents.

I hold an MBA in Artificial Intelligence from the International University of Applied Sciences, Berlin, where I blended business acumen with technical proficiency, enabling me to craft AI-driven strategies aligned with organizational goals.

I am passionate about continuous learning, open-source contributions, and pushing the boundaries of what AI can achieve.

Professional Interests

  • Developing production-ready Generative AI solutions and agentic systems
  • Experimenting with Retrieval-Augmented Generation (RAG) and LLM fine-tuning
  • Contributing to applied AI research and academic collaborations
  • Building tools that combine AI with business intelligence for high-impact outcomes
  • Participating in knowledge-sharing, mentoring, and community-driven AI initiatives

Technical Skills and Expertise

Artificial Intelligence & Machine Learning

  • Core Areas: Generative AI, NLP, Deep Learning, Machine Learning, Predictive Modeling, Data Science, Statistical Analysis, LLM-based architectures
  • Frameworks: TensorFlow, PyTorch, Keras, Hugging Face Transformers

Programming Languages

  • Proficient in Python
  • Experienced with SQL, R, JavaScript, TypeScript, and React

GenAI & Agentic Frameworks

  • LangGraph, LangChain, LlamaIndex, OpenAI APIs, and Vector Stores (e.g., FAISS, Pinecone) for building RAG pipelines, intelligent agents, and LLM-powered workflows

Web Development

  • Backend and interactive app development using FastAPI, Flask, Django, and Streamlit
  • Frontend styling with HTML, CSS, and JavaScript

Data Science & Visualization

  • Data manipulation and analysis using Pandas, NumPy
  • Visualization with Matplotlib, Seaborn, Plotly
  • ML pipelines using scikit-learn

DevOps & Cloud

  • Containerization & orchestration: Docker, Kubernetes
  • Cloud services: Google Cloud Platform (GCP), Microsoft Azure, AWS
  • Source control and collaboration using Git and GitHub

Education

MBA in Artificial Intelligence International University of Applied Sciences (IU), Berlin, Germany Completed

Connect with Me

Feel free to reach out for collaboration, consulting, research, or just an engaging discussion on AI and technology!

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  1. IBM-Data-Science-Professional-Certification IBM-Data-Science-Professional-Certification Public

    This repo contains the code and resources for the IBM Data Science Professional Certificate program, covering Python programming, data analysis, machine learning, and data visualization.

  2. Google-IT-Automation-with-Python-Certification Google-IT-Automation-with-Python-Certification Public

    This repo provides resources for the Google IT Automation with Python Professional Certificate program, focusing on automating tasks, scripting, networking, and troubleshooting using Python for eff…

  3. Churn-Prediction-using-Deep-Learning Churn-Prediction-using-Deep-Learning Public

    Deep learning-based churn prediction model that analyzes customer behavior to identify potential churn. Utilizes neural networks with Keras/TensorFlow for classification. Includes data preprocessin…

    Jupyter Notebook