Harshitha Bollineni

About

AI and Generative AI-focused professional with hands-on experience building Retrieval-Augmented Generation applications and multi-agent workflows. Skilled in Python, LangChain, LangGraph, FAISS, Hugging Face Transformers, and Streamlit for building context-aware, source-grounded AI applications.

Experience

• Operations
  Concentrix
  Jun 2025 – Present

Education

• Bachelor of Technology (B.Tech) in Computer Science and Engineering
  KMM Institute of Technology and Science
  Computer Science and Engineering · 2021 – 2025

Skills

• FastAPI <3 months
• Python <3 months
• Prompt Engineering <3 months
• NumPy <3 months
• Pandas <3 months
• Streamlit <3 months
• TensorFlow <3 months
• LangChain <3 months
• RESTful APIs <3 months
• Application Development <3 months
• Large Language Models <3 months
• Vector Databases <3 months
• LangGraph <3 months
• Embeddings <3 months
• Semantic Search <3 months
• Model Context Protocol <3 months
• Prompt Design <3 months
• RAG Architecture <3 months
• Faiss <3 months
• Oop <3 months
• API design and development <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months
• Vector embeddings <3 months

Tools / apps / platforms

• ChromaDB <3 months
• Git <3 months
• GitHub <3 months
• Hugging Face Spaces <3 months
• Hugging Face Transformers <3 months
• MySQL <3 months

Projects

• Multi-Agent Assistant ↗
  Python, LangGraph, Hugging Face, DDGS

  Built a multi-agent assistant using LangGraph with a supervisor that routes user queries to specialized General and Research agents. Designed a modular agent-and-tool workflow, separated LLM interaction, agent logic, web-search tooling, and graph orchestration, and added conditional routing and web search for research responses.

• RAG-Document-Intelligence-System ↗
  Streamlit, LangChain, FAISS, Hugging Face Transformers

  Built an AI-powered multi-document question-answering system using Retrieval-Augmented Generation for context-aware, source-grounded responses. Implemented document ingestion, chunking, embeddings, FAISS retrieval, conversational memory, source attribution, token streaming, and document-level filtering.

Courses & certifications

• Generative AI Course with LangChain & Hugging Face · Udemy