Sneha Kashyap

About

Graduate Final-year B.Tech Computer Science Engineering student at KIIT University with hands-on experience building GenAI and Agentic AI applications. Skilled in RAG pipelines, LangChain/LangGraph workflows, Python backend development, and deploying production-facing AI tools.

Experience

• Trainee Intern, Python/Flask/SQLite
  CDAC
  May 2025 – Jul 2025

Education

• B.Tech
  KIIT University
  Computer Science Engineering · Sep 2022 – 2026

Skills

• CSS
• FastAPI
• HTML
• Python
• Prompt Engineering
• JavaScript
• Classification
• NumPy
• Pandas
• Streamlit
• scikit-learn
• Flask
• LangChain
• KNN (K-Nearest Neighbors)
• Random Forest
• RESTful APIs
• RAG
• LLMs
• LangGraph
• XGBoost
• Embeddings
• Semantic Search
• Regression
• Faiss
• Lightgbm
• Naive Bayes

Projects

• AI Research Paper Composer
  RAG, FAISS, OpenAI API, Streamlit

  Architected a RAG pipeline processing 2–5 research PDFs to auto-generate structured sections, reducing manual synthesis time by about 90%. Optimized retrieval with recursive chunking and FAISS vector indexing, and deployed an interactive Streamlit application.

• AI Career Copilot
  RAG, LangChain, LangGraph, FAISS, Streamlit

  Built an AI career mentorship platform generating personalized 12-week learning roadmaps with skill-gap analysis and project recommendations. Implemented PDF processing, recursive chunking, FAISS-based retrieval, and a LangGraph-based multi-agent workflow.

• AI Job Market Insights Portal
  Python, Flask, Pandas, Render

  Scraped and analyzed 15,000+ AI job listings across 10+ countries to identify skill demand, location trends, and salary patterns. Trained XGBoost and LightGBM regression models for salary prediction and deployed an interactive Flask dashboard.

📚 Publications

• Global AI Job Trends and Salary Prediction Using Machine Learning · 2025
• Optimizing Bank Marketing Using ML and Predictive Models · 2025