Kovid Arora
Education
2026
2022
2020
B.Tech. CSE, Amity University | Noida, Uttar Pradesh | First Division with Distinction
XII (Senior Secondary ), Bal Bharati Public School | Delhi, India | CBSE
X (Secondary ), Bal B…
Kovid Arora
Education
2026
2022
2020
B.Tech. CSE, Amity University | Noida, Uttar Pradesh | First Division with Distinction
XII (Senior Secondary ), Bal Bharati Public School | Delhi, India | CBSE
X (Secondary ), Bal Bharati Public School | Delhi, India | CBSE
CGPA 9.10
88.2%
90.8%
C,C++, Python, Java,SQL, HTML, CSS, JavaScript
MySQL
Vim, Vercel, Cmake, Figma, GitHub, Gemini API, Ollama, Groq API, Google Colab,Hugging Face Transformers, FAISS
Windows , Linux(mint)
Skills
Languages
Database
Frameworks NumPy, Pandas, React.js, OpenCV, Streamlit, QLoRA
Tools
OS
Projects
Fake News Detector (Python, Streamlit, FAISS, Groq LLM, NewsAPI)
LLM, Retrieval‑Augmented Generation (RAG) ‑ https://github.com/kovidArora/Fake‑news‑detector
– Created an AI‑powered Fake News Detection web application enabling real‑time credibility analysis.
– Built a RAG pipeline with sentence embeddings and a FAISS vector database, retrieving the top 5 relevant documents.
– Integrated NewsAPI for live news retrieval and automated preprocessing, delivering end‑to‑end analysis across 500+ news articles.
– Designed a modular architecture with secure API key management and cloud deployment.
Automated Blood Test Report Generation (Python, PEFT, BitsAndBytes, LLaMa‑3.1‑8b, FineTuning)
LLM, Healthcare, Retrieval‑Augmented Generation (RAG)‑Colab Notebook
– Built 2 working models of LLM report generation, one utilising RAG approach and the other Finetuned on self‑made dataset.
– Successfully managed to extract and interpret data from patient reports in 5+ formats (PDF, Word etc.).
– Found the accuracy difference between RAG and fine tuned model.
Live Facial Recognition Project (Python, OpenCV)
Computer Vision, Face Recognition ‑ https://github.com/kovidArora/FaceRec
– Created a live facial recognition system with 85‑95% accuracy in facial detection.
– Capable of detecting faces in photos, test photos, live photos, and recorded videos.
– Trained to identify over 50 new individuals, streamlining future data retrieval and improving accuracy in settings like live video feed.
Bizzare‑Chess (HTML5, CSS3, JavaScript, Vercel)
June 2024
Web Development, Game Development
– Developed a custom chess website with 5+ new, innovative rules. Enhanced mechanics, offering 1 unique twist to traditional chess.
– Integrated a 1‑minute timer that triggers a piece swap for the same colour after timeout.
– Link: https://bizzaro-chessa.vercel.app/
Experience
January 2025
June 2026
April 2026
Edunet Foundation (Artificial Intelligence, Machine Learning, Large Language Models)
Fake News Detector ‑ https://github.com/kovidArora/Fake‑news‑detector
– Designed a Streamlit‑based web application for real‑time fake news detection using Groq LLM and FAISS.
– Implemented a RAG pipeline with NewsAPI and sentence embeddings to analyze 500+ live news articles and generate contextual
May ‑ June 2026
Open Health Systems Laboratory (OHSL) (Draw.io, Radiology Database, Agile, Scrum)
Integrating Radiology Database
– Researched & compared 5+ cloud‑based database solutions (Ambra, Motic, Orthanc) for radiology image storage & SaaS integration.
– Aiding in BRD creation and supporting software engineering tasks like system design and feature planning.
– Provided support in research of Motic and its integration to the the main project.Documented findings and helped in the wireframe
May ‑ July 2025
of the final webpage.
Achievements And Positions of Responsibility
Emcee
Merit
Winner
Emcee at Confluence 2025, 15th Annual Conference on Cloud Computing, Data Science & Engineering.
Academic Excellence Scholarship, Among the top 5% of students for outstanding academic performance.
CSS Flair 2.0 Web Development Hackathon, Secured 1st Rank
Certificates
Cisco
Winner
NPTEL
NPTEL
CCNAv7: Introduction to Networks , Networking Concepts | IPv4/IPv6 addressing | Subnetting | Routing
CSS Flair 2.0 – First Rank Certificate, Built a responsive web page and secured 1st place in the competition.
Software Conceptual Design , Gold Badge (92%) | Design Methodologies | Scrum | Agile | SDLC
Python for Data Science, Silver Badge (Top 5%) | NumPy, Pandas, Scikit‑Learn and Matplotlib for data processing
January 2025
December 2024
December 2024
January 2025
December 2024
November 2024
April 2024
Area of Interest
Data Science, Artificial Intelligence, Machine Learning, Generative AI, LLM, Prompt Engineering, RAG, Fine‑tuning, Java, Web
Development
<p>Designed a Streamlit-based web application for real-time fake news detection using Groq LLM and FAISS.<br>
Implemented a RAG pipeline with NewsAPI and sentence embeddings to analyze 500+ live news articles and generate contextual explanations.</p>
<p>Researched and compared 5+ cloud-based database solutions (Ambra, Motic, Orthanc) for radiology image storage and SaaS integration.<br>
Aiding in BRD creation and supporting software engineering tasks like system design and feature planning.<br>
Provided support in research of Motic and its integration to the main project.<br>
Documented findings and helped in the wireframe of the final webpage.</p>
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