About

Aspiring AI/ML Engineer with a proven track record in architecting supervised machine learning workflows and advanced generative AI solutions. Expert in end-to-end data preprocessing, feature engineering, and deploying user-centric intelligent tools. Leveraging deep technical expertise in Python and modern ML frameworks to deliver scalable, reliable, and high-impact AI-driven innovations.

Experience3

  1. AI & ML Intern

    Dec 2025 — Feb 2026

    3Skill

    Built supervised machine learning models in Python with scikit-learn including data preprocessing, feature preparation, model training, and evaluation. Conducted exploratory data analysis using Pandas and Matplotlib to identify data patterns and quality issues. Compared classification model performances and documented findings in collaboration with a 3-person team.

  2. Core Technical Member

    Dec 2024 — Present

    RNTU Technical Club

    Develop and maintain club web tools including event portals and registration workflows using HTML, CSS, and JavaScript. Mentor junior members in Python fundamentals and web development via technical sessions. Coordinate technical event teams and contribute prototypes linking AI concepts to practical student applications.

  3. Gemini Student Ambassador

    May 2026 — Present

    Google

    Promote responsible and effective use of generative AI tools among students and faculty on campus. Organize workshops and hands-on demonstrations to translate AI capabilities into practical workflows for students.

Projects3

  • FlowPilot AI - Autonomous Revenue Operations Platform

    Built a full-stack platform that qualifies leads, scores buying intent, and handles sales objections to recover stalled pipeline automatically. Designed a LangGraph agent pipeline covering intent and sentiment classification, lead scoring, action decisions, and AI response generation. Integrated Gemini and OpenAI models, Supabase database, and WhatsApp messaging via Twilio; built a Next.js dashboard with Recharts analytics and a live conversation testing interface.

    • Python
    • FastAPI
    • LangGraph
    • Next.js
    • TypeScript
    • Supabase
  • AI Smart Classifier - Support Ticket Classification Pipeline

    Built an end-to-end multi-class text classification pipeline using TF-IDF features, One-vs-Rest Logistic Regression, and Random Forest models. Created a preprocessing and EDA workflow covering missing values, outlier review, and feature selection; achieved approximately 88% test accuracy.

    • Python
    • TF-IDF
    • Logistic Regression
    • Random Forest
  • Smart Event Management Platform (SEMP)

    Developed a lightweight single-page React application that consolidates the full event lifecycle into one real-time, responsive dashboard. Implemented attendee QR badge generation to streamline check-in and event management.

    • React
    • JavaScript
    • HTML
    • CSS

Education2

  • Bachelor of Engineering

    2024 — 2028

    Rabindranath Tagore University (RNTU), Bhopal, MP

    Artificial Intelligence

  • Bachelor of Engineering

    2024 — 2028

    Rabindranath Tagore University (RNTU)

    Artificial Intelligence

Certifications5

  • Data Analytics Job Simulation

    Deloitte Australia (Forage)

  • Solutions Architecture Job Simulation

    AWS (Forage)

  • Generative AI Mastermind: Prompt Engineering and LLM Fundamentals

  • Ethics of AI

    University of Helsinki

  • Microsoft Copilot for Productivity

    Microsoft and LinkedIn