Swastika Chand

About

Computer Science & Engineering student at Graphic Era Hill University with hands-on experience building AI/ML and backend projects using Python, FastAPI, React, FAISS, and PostgreSQL. Interested in LLM evaluation, multimodal RAG systems, and scalable application development.

Education

• B.Tech
  Graphic Era Hill University
  Computer Science & Engineering · Aug 2023 – 2027
• Class XII
  New Beersheba Sr. Sec. School
  2020 – 2022

Skills

• SQL
• C
• CSS
• Computer Networks
• Deep Learning
• FastAPI
• HTML
• Python
• Machine Learning
• Java
• JavaScript
• OpenCV
• React
• Operating Systems
• Docker
• LLM evaluation
• API Integration Understanding
• RAG
• Software Engineering
• LLMs
• Data Structures and Algorithms
• Pydantic
• Gemini APIs
• SQLAlchemy
• Sentence Transformers
• Faiss
• Oop
• Advanced DBMS
• Generative AI (ChatGPT, Copilot, Gemini)

Projects

• GraphCrypt
  Python, OpenCV, NetworkX, Graph Algorithms

  Graph-based image encryption system using MST construction and DFS traversal to scramble pixel distributions and improve statistical security metrics.

• AI Learning Assistant
  Python, FastAPI, React, FAISS, Gemini 2.5 Flash, EasyOCR, SQLAlchemy

  Multimodal RAG study platform with file-isolated retrieval, fault-tolerant ingestion, and AI-powered learning modules including summaries, notes, quizzes, flashcards, and contextual Q&A.

• LLM Regression TestKit
  Python, FastAPI, PostgreSQL, Pydantic, Docker, GitHub Actions, Gemini

  Automated LLM evaluation and regression testing platform for a Python code reviewer, with curated test cases, structured outputs, deterministic scoring, semantic issue matching, and CI automation.

Courses & certifications

• PwC Launchpad Program · PwC
• Python for Data Science · NPTEL (IIT Madras)
• Supervised Machine Learning: Regression and Classification · DeepLearning.AI & Stanford Online (Coursera)
• AWS Cloud Practitioner Essentials · AWS Training & Certification

🏆 Achievements & awards

• Finalist, Hackoholic 3.0 Intra-College Hackathon