Snehal Garg

About

Final-year Computer Science student at VIT Bhopal building production-grade Generative AI systems, including RAG pipelines, agentic workflows, and multi-agent orchestration. Experienced with the full AI stack from LLM integration and backend APIs to cloud deployment, with three deployed projects and live demos.

Experience

• Data Science Intern
  ElevanceSkills
  Aug 2026 – Sep 2026

Education

• Bachelor of Technology
  Vellore Institute of Technology Bhopal
  Computer Science & Engineering · 2023 – 2027

Skills

• C
• Deep Learning
• FastAPI
• Python
• Machine Learning
• Prompt Engineering
• Streamlit
• Flask
• Supervised Learning
• Unsupervised Learning
• LangChain
• OpenAI API
• Natural Language Processing
• RAG
• Multi-Agent Systems
• LangGraph
• MCP
• LangSmith
• Pydantic
• LlamaIndex
• Sentence Transformers
• Faiss
• Agentic AI Systems
• CrewAI
• Generative AI (ChatGPT, Copilot, Gemini)

Projects

• Multi-Agent Content Creation Studio
  Python, LangGraph, Groq, Streamlit

  Built a 5-agent pipeline that generates a complete content package from a single topic input, including SEO blog, YouTube script, LinkedIn post, Twitter thread, and Instagram caption, with multi-language support.

• Multi-Agent AI News Summarizer
  Python, LangGraph, LangChain, NewsAPI, Groq

  Architected a 4-agent pipeline for autonomous real-time news retrieval and executive briefing generation from 50,000+ sources, deployed on Render with conditional error routing and natural-language query support.

• Multi-Agent AI Code Reviewer
  Python, LangGraph, Groq, GitHub API, Streamlit

  Engineered a 4-agent LangGraph pipeline that autonomously fetches GitHub PRs, files, or repositories and delivers a professional code review with quality score, severity level, and merge verdict in under 2 minutes.

Courses & certifications

• Generative AI with LangChain & Hugging Face
• Deep Learning & NLP
• Data Science & ML
• IBM Watsonx GenAI
• Google IT Support

⚽ Extracurricular activities

• Competitive Programming

  Solved 450+ problems across LeetCode, GeeksforGeeks, and Codeforces; consistent practice in graphs, DP, and system design.

• Hackathon Participation

  Represented college in a 24-hour AI hackathon and built and demoed a working LLM-based product with a team of 4.