Ashwanth Alagesan

About Ashwanth Alagesan

I\'m an ambitious Generative AI software developer with a deep passion for building innovative solutions using the latest advancements in AI. From experimenting with cutting-edge tools to developing real-world applications, I’m always eager to explore how AI can solve complex problems and transform industries.🤝 I\'m actively looking to connect with like-minded individuals, open-source contributors, and teams working on AI-focused projects. Whether you\'re working on something cool, need a collaborator, or just want to chat about AI—let’s connect! I\'m especially interested in opportunities to learn, contribute, and grow through collaboration.Let’s build the future of AI together.

Experience

1. Artificial Intelligence Engineer

   Magna International

   Jun 2024 — Present · MI, US

   Designed and implemented GenAI solutions using LLMs and RAG (Retrieval-Augmented Generation) architecture to analyze and predict equipment issues, reducing factory downtime and enhancing production efficiency. Achieved a 30% reduction in equipment downtime through predictive analytics solutions.• Implemented hybrid search (vector search + BM25 lexical search) to improve precision and recall when retrieving technical information such as fault codes and error codes.• Designed and deployed a global AI chat interface for employees, enabling access to latest market intelligence models, web search and AI tools to boost productivity across the organization.• Built robust data pipelines to collect, preprocess, and analyze factory data in real-time, enabling proactive maintenance strategies and reducing unexpected failures.• Developed a PDF extraction pipeline using OCR, Azure Blob Storage, and Azure AI Search with query re-ranking to improve the result relevance.• Built a permission-based HR AI chatbot using RAG on SharePoint data, reduced operational costs by using Docling for document extraction, hybrid chunking for higher relevance, and semantic caching with Redis to reduce token usage by 40%.• Developed an AI agent using LangGraph and ReAct architecture to create a chatbot, improving data access speedsby 85% compared to traditional systems. Compared performance with GPT-4 and Gemma 2B to reduce overall costs associated with the proof of concept (POC).

Education

• Anna University Chennai

  Bachelor of Engineering - BE, Computer Science

• California State University, Long Beach

  Master's degree, Computer Science