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AI & Data Engineering — Hyderabad, India

Kurakula
Vaishnavi Devi

I build retrieval-augmented systems that find the right signal in a lot of noise — vector search, LLM pipelines, and the plumbing that connects them.

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01 — About

Query, retrieve, generate.

Kurakula Vaishnavi Devi

I'm a Computer Science student specializing in AI & Data Engineering, currently maintaining a 9.4 CGPA while building AI-powered applications with LangChain, FastAPI, FAISS, and the Gemini API. My focus is retrieval-augmented generation — systems that don't just generate text, but ground it in the right documents first. Alongside that, I've worked through 150+ coding challenges across LeetCode and CodeChef, sharpening the problem-solving that sits underneath every pipeline I build. I'm looking for an Associate Software Engineer role where I can build scalable AI solutions and keep growing as an AI/ML engineer.

Education
B.Tech, Computer Science (AI & Data Engineering)
Koneru Lakshmaiah Education Foundation, Hyderabad
2023 — Present · CGPA 9.53
Prior
Board of Intermediate Education, Telangana
High School Diploma, 2021 — 2023 · GPA 8.7

02 — Skills

Four clusters, one pipeline.

AI & GenAI Stack

The retrieval-and-generation layer.

  • LangChain
  • LangGraph
  • RAG
  • Vector Embeddings
  • Prompt Engineering
  • Gemini API
  • Hugging Face Transformers
  • AI Agents

Data & Retrieval

Where the vectors actually live.

  • FAISS
  • ChromaDB
  • MySQL
  • MongoDB
  • Machine Learning
  • Data Preprocessing

Web & APIs

Shipping it as something usable.

  • FastAPI
  • REST APIs
  • Streamlit
  • HTML
  • CSS
  • JavaScript

Languages & Tools

Core CS and the daily toolchain.

  • Python
  • Java
  • C
  • Git
  • GitHub
  • Docker (basics)
  • Postman
  • Jupyter Notebook
  • Google Colab

Underneath the stack: Data Structures, Algorithms, Operating Systems, DBMS, Computer Networks, Object-Oriented Programming.

03 — Projects

Things I've built end to end.

AI-Powered Resume Screening Assistant

Source →
  • Python
  • FastAPI
  • LangChain
  • FAISS
  • Gemini API
  • Streamlit
  • Built a RAG-based resume screening application to automate candidate evaluation.
  • Implemented semantic search with a FAISS vector database and LangChain for accurate document retrieval.
  • Built REST APIs with FastAPI for resume upload, indexing, and AI-powered question answering.
  • Integrated the Gemini API for candidate summaries, skill extraction, and interview recommendations.

Enterprise Multi-Document AI Chatbot

Source →
  • Python
  • FastAPI
  • LangChain
  • FAISS
  • Gemini API
  • Streamlit
  • Built a RAG-based chatbot for querying multiple documents — PDF, DOCX, and TXT.
  • Developed an end-to-end pipeline: document processing, embedding generation, vector storage, semantic retrieval.
  • Implemented FastAPI REST services and integrated the Gemini API for context-aware conversation.
  • Improved retrieval efficiency through vector similarity search and document summarization.

AI & ML Practice Projects

Source →
  • Python
  • Machine Learning
  • Implemented classification models and data preprocessing pipelines.
  • Performed data cleaning, feature selection, and model evaluation on structured datasets.

04 — Certifications

Credentials on file.

RPA Advanced Developer

Automation Anywhere

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05 — Coding Profiles

Practice, quantified.

150+ Problems solved
LeetCode & CodeChef combined
120+ on LeetCode
40+ on CodeChef
9.53 CGPA

Strong grounding in Arrays, Trees, Graphs, Dynamic Programming, and Binary Search. Also participated in university hackathons focused on AI and software development.

LeetCode ↗ GitHub ↗ LinkedIn ↗

06 — Contact

Let's build something that retrieves the right thing.

+91 93924 40382

GitHub LinkedIn LeetCode