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An aspiring AI/ML Engineer passionate about Data Science, Generative AI, and Analytics.
I'm a fresher with a strong passion for Artificial Intelligence, Machine Learning, and Data Analytics. My expertise spans across the full data lifecycle - from cleaning and visualizing complex datasets to building scalable applications using Generative AI.
I specialize in developing intelligent systems using frameworks like LangChain and CrewAI, alongside robust data analysis skills using SQL, Tableau and PowerBI. I thrive on translating raw data into actionable insights and intelligent agents.
I am constantly upskilling and currently exploring AgenticAI, agentic workflows using CrewAI and Model Context Protocol (MCP) to build autonomous systems.
An autonomous multi-agent system built with CrewAI that orchestrates a digital workforce to conduct real-time market research and generate comprehensive Go-To-Market strategies. It leverages Pydantic for strict type enforcement to deliver API-ready SEO blogs, social media calendars, and video scripts from a single prompt.
A multi-source reasoning engine developed with LangChain that dynamically routes queries across live web search (DuckDuckGo), academic repositories (arxiv), and Wikipedia based on context. It features a "Just-in-Time" RAG pipeline that instantly vectorizes user-provided URLs for custom Q&A, utilizing the Groq LPU for ultra-low latency inference.
An interactive financial analytics dashboard developed in Power BI to analyze loan distribution, borrower demographics, and default risk patterns. The dashboard enables identification of high-risk customer segments using credit score, income level, employment type, and demographic indicators, helping financial institutions make data-driven lending decisions.