Open to opportunities

Rasendra Kaushik

@rasendrakaushik

Message

I’m an entry-level AI and Business Intelligence engineer building data pipelines and RAG apps for impact.

India

Message

What I'm looking for

I’m looking for an internship where I can build data pipelines and AI-driven analytics, ship RAG/NLP features, and learn from strong engineers while owning measurable impact.

I’m an entry-level AI and Business Intelligence Engineer who turns complex operational data into clear, leadership-ready insights. At Amazon, I designed and delivered AI-driven automated insight generation, built an action-item tracking and notification system, and deployed a fully automated AWS data ingestion and processing pipeline—reducing manual deep dives and accelerating decision-making.

I also build practical NLP and conversational AI systems. At CoRover, I implemented Retrieval-Augmented Generation (RAG) applications and AI agents, generated synthetic training data in 12 Indic languages, and improved chatbot accuracy through intent classification and data cleaning; I complemented this with projects like a Python cold email generator (Streamlit + LangChain + Llama 3.1) and a secure React + Appwrite blog app.

Experience

Work history, roles, and key accomplishments

Business Intel Engineer Intern

Amazon

Jul 2025 - Dec 2025 (5 months)

Designed AI-driven automated insight generation that converted complex operational data into daily leadership-ready summaries, reducing manual deep dives and accelerating decision-making. Built AWS-based real-time data ingestion and SQL metric/reporting pipelines, and developed an action-item tracking and notification system integrated with enterprise collaboration tools.

AWS SQL Data Pipelines Analytics Reporting Notifications Data Enrichment Query Optimization ETL

AI/ML Intern (RAG & NLP)

CoRover

Nov 2024 - Jan 2025 (2 months)

Built Retrieval-Augmented Generation (RAG) applications and AI agents to enable more efficient, context-aware conversational experiences. Generated synthetic training data for LLMs/chatbots across 12 Indic languages, implemented intent classification and NLP models, and created an FAQ knowledge base using web scraping with data cleaning and preprocessing.

RAG LLM NLP Synthetic Data Generation Web Scraping data preprocessing Multilingual Modeling