AI & Data Science Engineer

RISHI SHARMA

Data Scientist AI & Machine Learning Enthusiast

New Delhi, India

Email: ***********@*****.*** Phone: +91-701******* LinkedIn(Link) GitHub(Link)

PROFESSIONAL SUMMARY

Aspiring AI Engineer and Data Science professional with a strong foundation in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Data Analysis, Natural Language Processing, and Computer Vision. Hands-on experience building AI applications using Python, TensorFlow, PyTorch, LangChain, LangGraph, Hugging Face Transformers, RAG, and Streamlit. Developed end-to-end projects involving object detection, document-based question answering, AI agents, tool calling, content generation, and data analysis.

TECHNICAL SKILLS

Programming: Python, SQL, Java, C

Data Science: Data Cleaning, Exploratory Data Analysis (EDA), Data Visualization, Feature Engineering, Statistical Analysis

Machine Learning: Supervised Learning, Classification, Regression, Model Evaluation, Deep Learning, Computer Vision, Natural Language Processing

Generative AI & LLMs: Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, AI Agents, Tool Calling, LangChain, LangGraph, Hugging Face Transformers Libraries & Frameworks: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, TensorFlow Lite, PyTorch, OpenCV, Streamlit

Databases & Vector Search: MySQL, FAISS,Chromadb

Tools: Git, GitHub, Android Studio, VS Code, LabelImg INTERNSHIP EXPERIENCE

AI / Data Science Intern

Reliable Debt Management Services Private Limited, Laxmi Nagar March 2026– September 2026

• Developed a Python-based WhatsApp messaging automation workflow using Selenium to automate repetitive messaging tasks.

• Automated interaction with the existing WhatsApp Web interface for recipient selection, message entry, and message delivery.

• Implemented browser automation workflows to reduce repetitive manual operations and improve task efficiency.

• Tested and refined the automation workflow to handle different messaging scenarios reliably. PROJECTS

Agentic AI LinkedIn Post Generator(Link):

• Python • LangGraph • LangChain • Hugging Face • Streamlit

• Developed an AI-powered workflow to generate and review professional LinkedIn posts using LangGraph.

• Implemented multi-step generation and review workflows with conditional routing and human-in-the-loop approval.

• Integrated LLM-based content generation and feedback to improve post quality, clarity, and engagement. RAG-Based PDF Question Answering Chatbot(Link):

• Python • LangChain • FAISS • Hugging Face • Streamlit

• Built a document question-answering system that retrieves relevant information from uploaded PDF documents using RAG.

• Implemented document chunking, Hugging Face embeddings, FAISS vector search, and similarity-based retrieval.

• Developed a Streamlit interface for interactive PDF upload and question answering. Vegetable Detection Android Application(Link):-

• Python • TensorFlow • TensorFlow Lite • OpenCV • SSD MobileNet • Android Studio

• Developed a real-time Android object detection application using a custom-trained SSD MobileNet model.

• Created and annotated a vegetable image dataset using Pascal VOC XML and LabelImg, followed by model training and TensorFlow Lite conversion.

• Integrated CameraX and TensorFlow Lite for real-time on-device object detection. AI News Summarizer(Link):-

• Python • LangChain • Tavily • Hugging Face • Streamlit

• Developed an AI-powered news summarization application using web search tools and an LLM.

• Integrated tool calling to retrieve current news articles and generate concise summaries.

• Built a Streamlit interface for interactive news search and summarization. for dataset creation.

Fake News Detection System(Link):-

• Developed an NLP-based fake news classifier using Python and Scikit-learn. COURSES & CERTIFICATIONS:

Data Science Course — Internshala

Completed: December 2024

EDUCATION:

B.Tech. Artificial Intelligence & Data Science, Guru Tegh Bahadur Institute of Technology, New Delhi (2022– 2026), CGPA: 8.2/10

English, Hindi

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