Curriculum Vitae

Vijaya Vardhan Killi

Final-year Computer Science Engineering student (CGPA: 8.32) with hands-on experience in backend development and AI-based applications. Proficient in Python, Java, Flask, and REST APIs, with practical exposure to Retrieval-Augmented Generation (RAG), FAISS, and LangChain. Seeking a software engineering role to build efficient and reliable backend systems.

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Education

Expected May 2026

Bachelor of Technology — Computer Science & Engineering

Pragati Engineering College, Surampalem, India

CGPA: 8.32 / 10.0

Nov 2020 – Jul 2023

Diploma — Computer Engineering

Andhra Polytechnic, Kakinada, India

Percentage: 85.5%

Work Experience

Jun 2025 – Sep 2025

Software Engineer Intern — AI Backend

1M1B · Remote

  • Built and deployed a Retrieval-Augmented Generation (RAG) backend using LangChain, FAISS, and Gemini API to generate context-aware responses.
  • Implemented document ingestion, embedding generation, and vector indexing to enable efficient semantic search.
  • Designed query workflow involving retrieval and response generation to improve answer relevance.
Jul 2022 – Jan 2023

Networking Intern

City Online Pvt. Ltd. · Kakinada, India

  • Configured and maintained office LAN infrastructure including routing setup and network troubleshooting, ensuring reliable connectivity for day-to-day business operations.
  • Monitored server and network health, proactively identifying and resolving connectivity issues to maintain uptime.

Technical Skills

LanguagesPython, Java
BackendDjango, Flask, REST APIs
AI / MLLangChain, RAG, FAISS, Gemini API
DatabasesMySQL, MongoDB
Core ConceptsData Structures, Algorithms, OOP, DBMS
ToolsGit, GitHub, Postman, VS Code, Render

Projects

May 2025 – Jun 2025

GreenGenie — Renewable Energy Awareness Chatbot

Personal Project

  • Designed and built a GenAI-powered backend chatbot using RAG to accurately answer renewable energy queries from a curated knowledge base.
  • Ingested and indexed domain-specific documents into a FAISS vector store, enabling fast semantic search and context retrieval.
  • Integrated Gemini API via LangChain for context-aware response generation; implemented a confidence-based fallback mechanism for out-of-scope queries.
Jan 2024 – Jun 2024

YouTube Playlist Duration Calculator

Personal Project

  • Developed a full-stack web application using Django and React that fetches YouTube playlist metadata via the YouTube Data API and computes total runtime.
  • Hand-crafted RESTful API endpoints without Django REST Framework to gain a deep understanding of HTTP request-response handling and manual serialization.
  • Delivered a responsive, intuitive React UI showing playlist details and aggregated durations.

Certifications

  • Software Engineering Essentials (Credly Verified)