I’m Rohan, a Computer Science student passionate about AI/ML, Computer Vision, Generative AI, and Cloud technologies. Over the past few years, I’ve been actively building, researching, and learning beyond the classroom. I’ve worked on AI and computer vision projects, backend systems, and cloud-based applications, while gaining hands-on experience through research and internships. My journey has also taken me into academic research - I’ve worked on UAV-based 3D reconstruction, geospatial analysis, and AI-driven structural damage detection, with my research work accepted for presentation at ACRS 2026 in the Advanced Image Analytics & GeoAI track. I was selected in AWS-sponsored Future AWS Agent Engineer Nano degree, where I’m exploring Amazon Bedrock, Amazon Nova, agentic workflows, RAG, and multi-agent systems. Along the way, I’ve had experience with research internships, technical projects, hackathons, open-source learning, and building with technologies like Python, FastAPI, React, PyTorch, YOLO, AWS, Docker, and PostgreSQL. I created this space to share the things I’ve learned - especially around getting started with AI/ML, building meaningful projects, preparing for internships, navigating research opportunities, learning cloud technologies, and figuring out what to focus on as a CS student. I’m still learning myself, but I’ve already made plenty of mistakes, tried different paths, and figured out a few things that I wish someone had told me earlier. In this journey i have gathered many resources from various sites like company details, MNC Stacks, DSA sheets, GATE resources, AI TOOLS. If you’re a student in btech and trying to break into AI/ML, research, internships, cloud, or software development, feel free to reach out. I’ll give you practical advice based on what I’ve actually experienced — not generic “just learn DSA and build projects” advice. 🚀