About
B.Tech CSE (AI & ML) student with hands-on experience building AI agents, RAG applications, LLM-powered workflows, and automation systems. Experienced in Python, n8n, Gemini, OpenAI APIs, Pinecone, and CrewAI, with practical work on data analytics and real-world AI products.
Experience
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Data Analytics InternWe won AcademyOct 2025 – Jan 2026
Education
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B.Tech CSE (AI/ML)Centre for Advance StudiesComputer Science Engineering (Artificial Intelligence & Machine Learning) · 2029
Skills
- SQL <3 months
- Data Preprocessing <3 months
- Data Visualization <3 months
- Python <3 months
- Machine Learning <3 months
- Prompt Engineering <3 months
- Data Cleaning <3 months
- Matplotlib <3 months
- NumPy <3 months
- Pandas <3 months
- Seaborn <3 months
- OpenAI API <3 months
- RAG <3 months
- LLMs <3 months
- CrewAI <3 months
Tools / apps / platforms
- Git <3 months
- GitHub <3 months
- Google Gemini <3 months
- Microsoft Excel <3 months
- n8n <3 months
- Pinecone <3 months
Projects
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LLMs, n8n, prompt engineering
Built an AI-powered mentor that generates personalized learning roadmaps using LLMs and workflow automation. Automated roadmap generation and email delivery using n8n. Applied prompt engineering to create structured learning plans based on student goals.
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Python, Scikit-learn, Matplotlib, Seaborn
Implemented a Linear Regression model to predict house prices using Python and Scikit-learn. Performed data cleaning, missing value handling, exploratory data analysis, and model evaluation. Visualized data insights using Matplotlib and Seaborn.
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CrewAI, prompt engineering, web research
Developed a multi-agent AI workflow using CrewAI for automated research and LinkedIn content generation. Integrated AI agents for web research, content creation, and workflow automation. Applied prompt engineering to generate professional LinkedIn posts.
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RAG, Pinecone, Google Gemini, n8n, Google Sheets, APIs
Built an AI customer support assistant using RAG, Pinecone, and Google Gemini. Automated customer queries, policy retrieval, and workflow execution using n8n. Integrated Google Sheets and APIs to streamline customer support operations.
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Python, n8n, Supabase, Razorpay
An AI-native e-commerce platform with conversational product discovery, recommendations, product comparison, and shared cart actions. Integrated n8n AI workflows with a 66-product canonical catalog and structured AI actions. Integrated Razorpay payment workflow for end-to-end checkout and payment experience. Built an AI Campaign Orchestrator that analyzes merchant data, proposes campaigns, and publishes approved campaigns to the storefront.
Courses & certifications
- Machine Learning Basics ↗
- AI Agents Using Python ↗
- AI Agents & Automation Systems ↗ · Centre for Advance Studies