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About

A recent graduate from Acharya Narendra Dev College, University of Delhi, with a strong interest in AI, data, and building practical technology solutions. I have experience working on AI/ML projects involving dataset preparation, data analysis, NLP, retrieval systems, and model evaluation using Python, SQL, Pandas, NumPy, Hugging Face, and RAG frameworks.

Experience1

  1. Founder’s Office Intern

    Feb 2025 — Sep 2025

    Growpreneur

    Built and optimized ads performance dashboards for Amazon, Flipkart, and Blinkit Ads, analyzing ROAS, CTR, conversions, CAC, and ad spend to improve campaign performance. Improved reporting and analytics efficiency by 20% through streamlined data analysis workflows, enabling faster business and marketing decisions. Developed and managed the end-to-end learning platform learning.growpreneur.io, supporting production operations and contributing to over 5 lakhs in revenue generation.

Projects3

  • E-Commerce Ads Optimization Engine

    Designed and developed an ML+LLM-based e-commerce ad optimization system using RAG (FAISS), LangChain, Hugging Face, and Groq LLaMA3. Extracted and analyzed real-world Amazon Best Seller data for keyword discovery, ad targeting, product ranking, and competition analysis. Built bid prediction and ad performance models using XGBoost with production-ready deployment using MLflow, Docker, Render, and GitHub Actions CI/CD workflows.

    • RAG
    • FAISS
    • LangChain
    • Hugging Face
    • Groq LLaMA3
    • XGBoost
    • MLflow
    • Docker
    • Render
    • GitHub Actions

  • Workforce Operations Intelligence Platform - HRMS Portal

    Built an AI-powered HR operations platform with ATS resume analysis, AI recruiter summaries, recruitment workflow automation, onboarding intelligence, and SLA monitoring using FastAPI, PostgreSQL, Regex, Next.js, and Groq LLM. Implemented operational alerts, interview/onboarding mail automation, candidate lifecycle tracking, and executive dashboards using Groq API, SQLAlchemy, Tailwind CSS, and FastAPI-Mail.

    • FastAPI
    • PostgreSQL
    • Regex
    • Next.js
    • Groq LLM
    • Groq API
    • SQLAlchemy
    • Tailwind CSS
    • FastAPI-Mail

  • Japanese Learning Assistant Chatbot

    Developed an AI+RAG-based Japanese learning assistant trained on real JLPT syllabus datasets for grammar, kanji, vocabulary, and translation support. Implemented BERT-based JLPT classification, multilingual translation models, FAISS retrieval, and conversational memory with chat history support. Integrated Hugging Face models, Groq APIs, Docker, and Streamlit to deliver an interactive and personalized NLP learning experience.

    • BERT
    • FAISS
    • Hugging Face
    • Groq APIs
    • Docker
    • Streamlit

Education1

  • Bachelor of Science Hons.

    2022 — 2026

    Acharya Narendra Dev College, University of Delhi

    Computer Science