About Me
Hansraj Swami
AI Solutions Architect | Generative AI Engineer
IIT Mandi graduate specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I have proven expertise in architecting enterprise-grade AI systems, designing end-to-end AI pipelines, and deploying production-ready solutions on AWS and Azure. Passionate about building scalable, production-grade AI systems that solve real-world problems.
What Defines Me
Education
B.Tech in Data Science & Engineering at IIT Mandi (2022-2026) - Graduated
Experience
AI/ML Engineer at BidsUK.Tech | AI/ML Intern at Coratia Technologies
Focus Areas
Generative AI, LLMs, RAG, Enterprise AI Systems, Model Deployment
Passion
Architecting scalable, production-grade AI systems and RAG solutions
My Journey
My journey into AI began at IIT Mandi, where I developed a strong foundation in machine learning and deep learning. Through hands-on experience with real-world problems, I discovered the transformative power of AI systems to solve complex challenges.
As I progressed, my focus shifted toward Generative AI and Large Language Models. I have architected enterprise-grade AI systems, designed end-to-end RAG pipelines, and deployed production-ready solutions on AWS and Azure. My expertise spans from prompt engineering to vector database optimization and LLMOps.
Today, I am passionate about building scalable, production-grade AI systems that push the boundaries of what's possible. My goal is to architect intelligent systems that meaningfully impact businesses and society through innovative AI solutions.
What Drives Me
Architecting enterprise-grade AI systems that scale
Optimizing LLM pipelines and vector database performance
Building RAG solutions that deliver accurate, contextual responses
Deploying production-ready AI models on cloud infrastructure
Researching and implementing cutting-edge AI security frameworks
Beyond Code
When I am not training models or writing code, you will find me exploring new research papers, participating in hackathons, or contributing to the data science community.