Shagun Yadav (born January 3, 2005) is an Indian software engineer, HCI researcher, and designer currently pursuing a Bachelor of Technology in Computer Science and Design at the Indraprastha Institute of Information Technology, Delhi (IIITD). Yadav presently serves as a Software Engineering Intern at Google Cloud, where they build observability infrastructure for air-gapped deployments. Their work spans the intersection of scalable backend systems, natural language processing, and user-centred design.
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.
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Experience[]
Software Engineering Intern, Google Cloud (May 2025–Present) — Build observability infrastructure for air-gapped deployments in CI/CD pipelines using Golang, Grafana, Prometheus, Docker, and Kubernetes.
Projects[]
BestSplit (2025)— Fully-functional 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)— Laser-cut home automation prototype with gesture controls, powered by a Keras ML model integrated with Arduino hardware.
MedEase (2024)— Healthcare database management system with SQL schemas, triggers, and a Tkinter UI for streamlined data management.
StickHero (2023)— Desktop game in Java / JavaFX with sprite revival, progress saving, design patterns, and JUnit testing.
Living Lightly (2023)— Collaborative HCI project mapping pastoral routes across India using JavaScript, MapBox, and Tailwind.
V room (2022)— Low-cognitive-distraction driving mode interface using operant conditioning. Built with Figma and Flutter. 3rd place at Anveshan 2.0 Hackathon.
Research & Inquiry[]
Finetuning LLMs for Ethical Guidance (2024)— Fine-tuning open-weight LLMs with RAG to build an ethical consultant chatbot for interpersonal relationships.
ChatGPT Usage among CS Undergraduates (2023)— Study of ChatGPT adoption among 480 students. Found 57%+ had a positive academic outlook; identified patterns in code generation and debugging.
Leadership & Initiatives[]
Convener, Convocation Committee at IIITD (Jun 2025 – Present)
Vice President, Student Senate at IIITD (Jul 2024 – Jun 2025)