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.
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)