AI & Software Professional | Generative AI Specialist | MBA in Artificial Intelligence

I’m an AI & Software Professional with 8+ years of experience across Full-Stack Development, Data Engineering, Machine Learning, and Deep Learning.

My career began with building scalable backend & frontend systems, but for the last five years I’ve focused deeply on AI, NLP, Deep Learning, Generative AI, and Agentic AI.

Currently, I lead research in Generative AI, Multi-agent Systems, and Transformer-based architectures, applying frameworks like LangGraph, GraphRAG, and multi-modal reasoning.

I’ve designed and deployed production-grade AI solutions across industries including Education, LegalTech, Healthcare, Finance, and Research, with recent focus on:

• 🔹 Multi-agent & multi-modal architectures
• 🔹 Fine-tuning & deploying LLMs
• 🔹 Retrieval-Augmented Generation (RAG) pipelines
• 🔹 AI-driven product strategy

My strength lies in combining hands-on AI system design with cross-functional collaboration to deliver scalable and impactful AI solutions.

1. Nghia Duong-Trung, Xia Wang, Rahul R. Bhoyar, Angelin Mary Jose, Silke Elisabeth Wrede, Lars van Rijn, Theresa Panse, Claudia de Witt, Niels Pinkwart (2025). Knowledge Scaffolding Recommendation System for Supervising Term Papers. In: 20th European Conference on Technology Enhanced Learning (ECTEL 2025), Springer LNCS, 15–19 September 2025, Newcastle and Durham, United Kingdom. Acceptance Ratio: 27% | Conference Rank: B 🔗 Read Paper

2. Nghia Duong-Trung, Xia Wang, Rahul R. Bhoyar, Angelin Mary Jose, Silke Elisabeth Wrede, Lars van Rijn, Theresa Panse, Claudia de Witt, Niels Pinkwart (2025). TPRS: AI-Assisted Research Topic Refinement for Distance Learners. In: 26th International Conference on Artificial Intelligence in Education (AIED 2025), 22–26 July 2025, Palermo, Italy. Conference Rank: A 🔗 Read Paper

3. Xia Wang, Nghia Duong-Trung, Rahul R. Bhoyar, Angelin Mary Jose (2025). LLM-based Literature Recommender System in Higher Education — A Case Study of Supervising Students’ Term Papers. In: 2nd International Workshop on Generative AI and Learning Analytics (GenAI-LA), 15th International Learning Analytics and Knowledge Conference (LAK 2025), 3–7 March 2025, Dublin, Ireland. Conference Rank: A 🔗 Read Paper

4. Rahul Rajkumar Bhoyar, Xia Wang, Nghia Duong-Trung (2024). KaggleGPT: Prompt-based Recommender System for Efficient Dataset Discovery. In: EduRS - Recommender Systems in Education at DELFI Conference on Educational Technologies, 09–11 September 2024, Fulda, Germany. 🔗 Read Paper

• Building Generative AI & agentic systems for real-world impact
• Exploring RAG pipelines, LLM fine-tuning, and multi-agent workflows
• Contributing to applied AI research & academic collaborations
• Developing AI tools that bridge research & industry
• Mentorship, community engagement, and open-source AI initiatives

• Areas: Generative AI, NLP, Deep Learning, Predictive Modeling, Data Science
• Frameworks: PyTorch, TensorFlow, Keras, Hugging Face Transformers

• Proficient: Python
• Experienced: SQL, R, JavaScript, TypeScript, React

• LangGraph, LangChain, LlamaIndex, OpenAI APIs
• Vector Stores: FAISS, Pinecone

• Backend: FastAPI, Flask, Django
• Frontend & Apps: React, Streamlit
• Styling: HTML, CSS, JavaScript

• Pandas, NumPy
• Visualization: Matplotlib, Seaborn, Plotly
• ML Pipelines: scikit-learn

• Docker, Kubernetes
• GCP, AWS, Azure
• Git, GitHub for version control & collaboration

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

I’m always open to collaboration, consulting, and research opportunities. Feel free to reach out!

• 📧 Email: [email protected]
• 💼 LinkedIn: linkedin.com/in/rahul-bhoyar-1a04a7215
• 🌐 Portfolio: rahulbhoyar.com
• 💻 GitHub: @rahulbhoyar1995

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