Nandini Shukla

AI Researcher

Gurugram, Haryana, India2 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Hands-on experience in machine learning and AI.
Developed advanced chatbot integrating NLP and LLM.
Engineered web applications improving data retrieval efficiency.

Stackforce AI infers this person is a skilled AI and web development intern with a focus on machine learning.

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Skills

Core Skills

Natural Language Processing (nlp)Large Language Models (llm)Spring FrameworkPostgresqlTeam LeadershipCommunication

Other Skills

Cascading Style Sheets (CSS)Deep LearningGenerative AIGitGitHubHTMLJavaScriptLangChainMachine LearningMongoDBPython (Programming Language)React.jsRetrieval-Augmented Generation (RAG)

About

When I’m not orchestrating neural networks or fine-tuning language models, you’ll find me strumming my guitar, perfecting vocal harmonies, or learning a new instrument—bringing the same creativity and dedication to my work. 🎸🎤 With hands-on experience in machine learning and a relentless curiosity to explore new frontiers, I’m always ready for the next challenge in AI. 🚀

Experience

Artificial intelligence institute of south carolina

Research Intern

Feb 2025 – Present · 1 yr 1 mo · Columbia, South Carolina, United States · Remote

Indian navy

AI Research Intern

Feb 2025 – Present · 1 yr 1 mo · New Delhi, Delhi, India

Georgia tech financial services innovation lab

Research Assistant Intern

Dec 2024 – Feb 2025 · 2 mos · Atlanta, Georgia, United States · Remote

Amazon

Mentee - Amazon ML Summer School

Jul 2024 – Jul 2024 · 0 mo · Remote

Selected from over 85,000+ applicants to be among the top 3,000 participants in the Amazon ML Summer School 2024. Got an opportunity to interact with the top Amazon ML Scientists. Over the course , I explored modules on:
Supervised Learning
Deep Neural Networks
Dimensionality Reduction
Unsupervised Learning
Sequential Learning
Reinforcement Learning
Generative AI and LLMs
Causal Inference

Indian navy

Research And Development Intern at WESEE

Jun 2024 – Aug 2024 · 2 mos · Delhi, India · On-site

Developed and customized a chatbot using Llama3 and Langchain, merging NLP and LLM concepts. Integrated
advanced natural language processing techniques with large language models for robust functionality.
Enabled querying of PDFs, images, and integrated speech recognition capabilities. Enhanced the bot’s functionality to
interpret and retrieve information from diverse data sources, including speech input.
Implemented Retrieval-Augmented Generation (RAG) for enhanced conversational abilities. Leveraged RAG to improve
the bot’s responses by incorporating relevant information retrieval into the conversation flow.

LangChainNatural Language Processing (NLP)Large Language Models (LLM)Retrieval-Augmented Generation (RAG)

Defence research and development organisation (drdo)

Project Intern

May 2023 – Aug 2023 · 3 mos · Delhi, India · On-site

Engineered a 3-tier web application using Spring Boot and PostgreSQL, automating data retrieval processes that
improved response times by an average of 30 seconds per user query during testing phases.
Worked on technologies like Springboot and PostgreSQL for for the backend and used Reactjs for the Frontend. Used Geoserver and Open Layers for deploying the Maps for Motion Simulation.

PostgreSQLMongoDBJavaScriptSpring FrameworkReact.js