Shagun Yadav
Shagun Yadav
From Wikipedia, the free encyclopedia
Hi! I am Shagun Yadav. I am a developer and designer from IIIT Delhi. I believe in intuitive and accessible tech, as I have tried with this website (hope you like it). If my work speaks to you, toggle the "Talk" menu in the top left to get in touch!
Contents
Education[]
- B.Tech Computer Science and Design, IIIT Delhi (2022–2026)
- AISSCE (Class XII), DPS Dwarka (2020–2022)
- AISSE (Class X), DPS Dwarka (2008–2020)
Technical Skills[]
- Programming Languages: Python, Java, C++, C, Kotlin, and Go.
- Libraries & Frameworks: PyTorch, Jetpack Compose, Tailwind CSS, Pandas, NumPy.
- Dev Tools: Kubernetes, Google Cloud Platform, Docker, Git, Gerrit, Firebase, Android Studio, JUnit.
- Coursework (Systems): Operating Systems, Distributed Systems, Computer Networks, Mobile Computing, DBMS, Advanced Programming (OOP), Algorithm Design and Analysis.
- Coursework (AI/ML): Natural Language Processing (NLP), Statistical Machine Learning.
Experience[]
- Teaching Assistant for Statistical Machine Learning (CSE342 / CSE542), IIIT Delhi (Jan 2025 - Apr 2026)
- Conducted demos and vivas for the 4 course assignments for 120+ students. Invigilated and evaluated quizzes for 250+ students enrolled in the course.
- Held office hours for students to answer doubts with respect to the course material.
- Software Engineering Intern, Google (May 2025 - Aug 2025)
- Engineered a non-ephemeral logging architecture for CI/CD pipelines, eliminating a 2-3 day debugging bottleneck and enabling instant post-mortem analysis of transient failures in Google’s Distributed Cloud.
- Developed a tool using Go and Kubernetes to export environment logs to Cloud Logging in real-time, helping optimise the mean time to resolution for over 600 daily pipeline tickets.
- Implemented secure authentication and just-in-time decryption, ensuring data integrity while working with air-gapped infrastructure.
Projects[]
- Multi Auth (2025)— A multi factor authentication system with 4 distinct verification tiers: password, passcode, email OTP, and biometrics. Security against brute force and DDoS attacks. Human centered design with progressive MFA setup, clear recovery paths, and real-time system feedback.
- BestSplit (2025)— Mobile app for group expense splitting. Built with Kotlin and Firebase, featuring UPI payments, QR scanning, and energy-saving sync-on-demand architecture.
- VirtuAlly (2025)— Multimodal tool to detect early signs of "Virtual Autism" in toddlers. Uses a CNN model with GradCAM to flag behavioural mimics of ASD.
- AirWave (2024)— Smart home automation MVP with hand gesture controls, powered by a Keras ML model integrated with Arduino hardware.
Gallery[]
Prototyping Interactive Systems2026
Anveshan 20242024
AirWave2024
Featured In[]
- News Feature — Human-Centred Design Lab, IIIT Delhi (2025)
- Comparative assessment of bias in human cognition and large language models — IIIT Delhi BTech Projects Repository (Dec 2024). Co-authored with Arnav Gupta and Parth Garg; advised by Prof. Pankaj Jalote and Prof. Manohar Kumar.
- Inter-School Achievements — Delhi Public School, Dwarka
References[]
- ^ MultiAuth — Multi-factor Authentication System. GitHub. Retrieved 1 Jul 2026.
- ^ BestSplit — Group Expense Splitting App. GitHub. Retrieved 1 Jul 2026.
- ^ VirtuAlly — Virtual Autism Detection Tool. GitHub. Retrieved 1 Jul 2026.
- ^ AirWave — Gesture-Based Home Automation. GitHub. Retrieved 1 Jul 2026.
- ^ Living Lightly. Collaborative HCI project, IIIT Delhi. Retrieved 1 Jul 2026.
External links[]
- Shagun Yadav on LinkedIn
- Shagun Yadav on GitHub