I'm a final-year engineering student with a deep focus on Generative AI, Data Analysis, and Automation. Though I started without hands-on experience, I’ve been actively building my GenAI career from scratch—learning by doing and solving real-world problems. Educational Background Currently pursuing my 7th semester of B.Tech. While I've faced a few academic setbacks, they’ve fueled my drive to master AI technologies that are shaping the future. Key Skills Prompt Engineering Python (for automation and AI) Large Language Models (Gemini, GPT-4o, etc.) Data Extraction & Analysis (Excel, JSON, APIs) Workflow Automation (n8n, Make.com) Tools: Google AI Studio, Hugging Face, Notion, GitHub Projects YouTube Video Finder + Title Analysis: Built an automation that takes voice/text input and fetches top recent videos using the YouTube API, with AI-powered content summarization. NCERT Content Extractor + Study Planner: Used prompt engineering to extract structured learning data from science textbooks and generate custom planners. Drug Discovery Assignment (In Progress): Implementing DeepChem-based models, building dashboards, and drafting a mini research paper. Internships Currently applying for AI-focused internships in prompt engineering, automation, and data analysis via platforms like CSTE and Learn Basics. Certifications Self-led GenAI Bootcamps (ongoing) Prompt Engineering Courses (Google AI Studio, YouTube, etc.) Hands-on GitHub and Hugging Face tutorials Career Aspirations I aim to become a GenAI Product Builder—someone who can prompt, prototype, automate, and scale AI solutions. I'm targeting roles in AI automation, AI product testing, and GenAI R&D within startups or innovation teams. Why Me? I’m not just a student—I’m a builder in progress, learning fast, failing forward, and hungry for practical impact. I bring creativity, self-discipline, and a clear mission: to make AI usable, accessible, and valuable in real life.
