ResilienceOps brings incident evidence, recovery decisions and security checks into one operator console. Python, SQLite and policy gates connect each proposed action to approval and verification. It is designed to make recovery explainable, so an operator can see what happened, why an action is allowed and whether it worked.
LW ERP organizes inventory, purchases, sales and accounting in a single business workspace. Laravel and a MySQL-compatible database connect the dashboard to stored transactions and administrative workflows. Its purpose is to reduce scattered records and make day-to-day business operations easier to follow.
TITAN connects a developer portal with resource management and governed AI services. Its Python control plane records desired state, reconciles resources and keeps an audit trail behind a React interface. It is designed to make automated engineering work reviewable and repeatable; the original local demo uses local services with cloud execution disabled.
FieldOps combines form management with a person registry, linked records and team permissions. The recovered customization extends KoboToolbox with Django models, database migrations and operations views. It is designed to keep field data connected instead of creating isolated records; the original local demo covers the registry and management tools, with the external form-filling engine still unconfigured.
QueueCare lets a patient join a clinic queue and gives the doctor a live token dashboard. Flask serves the patient and doctor views, SQLite stores the queue and QR codes help people open the booking page. It is designed to replace a manually managed waiting list with a clear, contactless queue that can run locally.
EduCenter brings students, courses, batches, enrollment, attendance and fees into one management interface. A Next.js frontend reads and writes records through FastAPI and PostgreSQL, including the dashboard totals. It is designed to reduce repetitive education administration and keep related records in one place.
Data pipelines, model evaluation, RAG, provenance, safe automation boundaries, and MLOps workflows.
04 / The engineer
I prefer systems that explain themselves.
I’m a Cloud, DevOps & AI engineer based in Delhi, currently working as a DevOps Intern at SIGN 3. My work is strongest when a complicated system has to become repeatable, observable, secure, and understandable by the next operator.
The portfolio includes client delivery, verified engineering labs, working prototypes, and research platforms. Each project is labelled by what it actually proves—not by what it might become.
DevOps Intern · SIGN 3
My current role in DevOps engineering.
IT Intern · CCRAS, Delhi
Infrastructure support, systems operations, and technical documentation.
Freelance business software support
Remote troubleshooting, deployment support, and practical handover for small-business systems.
MCA · IGNOU
Currently pursuing a Master of Computer Applications at Indira Gandhi National Open University, with expected completion in 2028.
BCA · GGSIPU
Programming, operating systems, networks, databases, and web development.
Enquire about projects and software, web or mobile apps, AI and automation, or infrastructure setup on-premises and across AWS, Azure and GCP. Share your use case and the outcome you need; I’ll reply with focused questions and a realistic next step.