🎓 A Generative AI Research Engineer at Sheffield Hallam University, with a robust foundation in Artificial Intelligence and Mechanical Engineering, providing competitive AI solutions for real-world problems.

A passionate AI Research Engineer with a strong background in the software development in Mechanical Engineering, currently specializing in Generative and Agentic AI. My research vision lies at the intersection of AI-driven automation, geometric reasoning, and human-centred innovation focusing on creating interpretable, ethical, and scalable AI systems. With practical experience in multimodal generative modeling, retrieval-augmented reasoning, and explainable data analysis, I bridge theory and implementation through an interdisciplinary lens. My academic and professional journey reflects a commitment to open, ethical, and impactful AI research, aligning deeply with the evolving demands of AI for Engineering design, simulation, and decision-making across industries.

• Agentic AI
• Generative AI
• Geometric Deep Learning
• Computational Design

• 🔍 Automated Orthographic View Recognition using Computer Vision
• 🤖 Multi-Agent System for CAD Preparation based on Rapid Prototyping
• 🌾 AI for Robotics in Agriculture: Real-time visual pipeline with automation
• 🧠 Synthetic Image Generation Pipeline: GANs + Diffusion models for cultural diversity

• 💬 Vel-Kural: A Tamil-inspired large language model project focusing on linguistic reasoning and cultural intelligence.
• 🎨 Text-Image Diffusion Model Experiment: Exploring image synthesis using GANs and diffusion models for diverse datasets.
• 🤖 RAG-Based Chatbot Framework: A modular Retrieval-Augmented Generation system for domain-specific knowledge retrieval and dialogue.

📌 Title: Development of Multi-Agent system Based on Rapid Prototyping

• Integrating vision-language models and engineering design tools for smart CAD workflows
• Automating 3D model generation from multimodal inputs (images, sketches, and specifications)
• Utilizing Retrieval-Augmented Generation (RAG) for contextual understanding and code synthesis
• Exploring applications in generative CAD and digital manufacturing prototyping

• AI & ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
• Data & Visualization Tools: Pandas, NumPy, Matplotlib, Seaborn
• Model Development: LLM fine-tuning, diffusion models, GANs, RAG pipelines
• Mechanical & Simulation Tools: ANSYS Fluent, ANSA, SolidWorks, OpenFOAM
• Programming & Scripting: Python, MATLAB, Bash, JSON, API Integration
• DevOps & Deployment: Docker, FastAPI, AWS, RunPod, GitHub Actions