Khyati Bajaj

About

Computer Science student at VIT Chennai with hands-on experience in full-stack development, AI/ML, and research. Interested in building scalable software solutions and contributing to impactful engineering teams.

Experience

• Research Intern
  SRIP, VIT Chennai
  May 2026 – Jul 2026

Education

• B.Tech Computer Science Engineering
  Vellore Institute of Technology, Chennai
  Computer Science Engineering · 2024 – 2028
• Class 12th
  DC Model International School, Punjab
  2024
• Class 10th
  DC Model International School, Punjab
  2022

Skills

• C <3 months
• Express.js <3 months
• Python <3 months
• Prompt Engineering <3 months
• Frontend development <3 months
• CSS3 <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• React <3 months
• PyTorch <3 months
• Next.js <3 months
• API Integration Understanding <3 months
• Go <3 months
• HTML5 <3 months
• Design Systems <3 months
• Explainable AI <3 months
• Deep Reinforcement Learning <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months

Tools / apps / platforms

• Firebase <3 months
• MongoDB <3 months
• SQLite <3 months
• Supabase <3 months

Projects

• G3 – Girl's Goods Gallery
  HTML, CSS, JavaScript, Node.js, MongoDB

  Developed a product gallery platform designed for hostel residents to showcase, list, and manage goods through a user-friendly web interface. Built with a Node.js/Express backend and MongoDB database for efficient data persistence, the platform supports product listing, browsing, and management functionalities. The project emphasizes practical peer-to-peer commerce within a campus community, delivering a clean and accessible front-end experience.

• VIT SWC Club Portal
  React.js, Firebase Firestore

  Designed and developed a full-stack club management portal featuring real-time CRUD operations and a role-based access control UI using React and Firebase Firestore. The platform streamlines club activity management, member coordination, and event tracking, providing administrators and members with distinct, permission-driven interfaces. Firebase's real-time database capabilities ensure instant data synchronization across all user sessions.

• Smart Traffic System: AI-Based Traffic & System Analytics
  Python, PyTorch, NumPy, Pandas

  Developed a spatio-temporal traffic prediction system using graph neural network architectures on the PeMS08 dataset, employing data-driven approaches for time-series forecasting and traffic flow modeling. Implemented optimization strategies using Genetic Algorithms, Ant Colony Optimization, and RL-VRP for decision-making under dynamic conditions. Conducted rigorous comparative analysis using MAE, RMSE metrics, and advanced visualization techniques for comprehensive system evaluation.

• Sustainify — AI-Powered NGO Transparency & Donation Platform
  Next.js, React, TypeScript, FastAPI, Python, Supabase, Google Gemini AI

  Developed a full-stack platform enabling transparent NGO discovery, funding, and verification. Built a 4-layer AI fraud detection system encompassing image authenticity analysis, geo-validation, and progress tracking. Implemented a dynamic transparency scoring model combining Gemini AI insights with community voting. Designed a scalable FastAPI backend supporting NGO verification workflows and an interactive map-based frontend for enhanced user engagement.

• Sherlock AI
  React, Node.js, Express, Server-Sent Events (SSE), Tavily API, Wikipedia API, OpenRouter (LLM)

  Built a full-stack autonomous OSINT investigation platform enabling query-driven research, source verification, and explainable AI reporting. Designed a multi-step agentic pipeline combining live web search, entity cross-referencing, and LLM-based reasoning to generate claim-level, source-traceable findings. Implemented a SHAP-based relevance scoring model with cross-source conflict detection, a real-time confidence engine, and a scalable Node/Express backend with SSE-based streaming for live updates.

Courses & certifications

• Introduction to Networking · Cisco
• Generative AI Course · IBM

🏆 Achievements & awards

• Participant in Hackathons & Technical Projects

⚽ Extracurricular activities

• VIT Chennai Technical Clubs

  Actively involved in technical clubs, contributing to collaborative projects and community initiatives.

• Hackathons, Technical Bootcamps, and Workshops

  Participated consistently and applied classroom concepts to real-world problem statements.

• Interdisciplinary Team Projects

  Contributed to team-based projects beyond academic coursework, fostering cross-functional collaboration experience.