Lakshay WaliaBUILDING WHAT’S NEXT.

LAKSHAY WALIA / CLOUD · DEVOPS · AI

Engineeringwhat’s next.

From cloud foundations to intelligent systems.
I build platforms that are resilient by design
and understandable in production.

Buy software or request a custom build ↗

CURRENTLY DevOps Intern @ SIGN 3

Available for roles & freelance Delhi, India

INTERACTIVE SYSTEM / 3DLW / 01

Resilient foundations. Infrastructure as code.

SCROLL TO EXPLOREBUILD. MEASURE. DOCUMENT. RECOVER.GITHUB ↗
21Projects indexed
58Passing ResilienceOps tests
4Source walkthroughs
20Builds with source

01 / Selected work

Built with intent.
Ready for the real world.

Try the workflows behind my projects. Interactive browser editions use fictional data and open only when you choose a demo.

01 / PythonInteractive browser demo
ResilienceOps — Operator consoleORIGINAL UI 1 screen ↗

ResilienceOps

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.

  • Python
  • SQLite
  • OPA
  • GitOps
03 / PythonInteractive browser demo
TITAN AI Control Plane — Desired-state command centerORIGINAL UI 1 screen ↗

TITAN AI Control Plane

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.

  • Python
  • React
  • Governed AI
  • Control plane
04 / DjangoInteractive browser demo
FieldOps Form Platform — Registry command centerORIGINAL UI 2 screens ↗

FieldOps Form Platform

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.

  • Django
  • KoboToolbox
  • PostgreSQL
  • Form linking
05 / PythonInteractive browser demo
QueueCare Clinic Queue — Doctor queue dashboardORIGINAL UI 1 screen ↗

QueueCare Clinic Queue

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.

  • Python
  • Flask
  • SQLite
  • Prometheus
06 / Next.jsInteractive browser demo
EduCenter Management Platform — Education operations dashboardORIGINAL UI 2 screens ↗

EduCenter Management Platform

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.

  • Next.js
  • FastAPI
  • PostgreSQL

There is more than the headline work.

Browse the complete archive: developer platforms, homelab automation, POS infrastructure, a script toolbox, games, utilities, and experiments.

View all 21 projects

02 / How I build

From commit to a healthy cloud service.

An illustrated release path: every transition leaves evidence, every gate can stop the rollout, and production stays observable.

  1. 01

    Source

    Code is pushed.

    A small, reviewable commit starts the release. The workflow records exactly what changed and who approved it.
  2. 02

    Continuous integration

    The pipeline proves it.

    Tests, dependency scanning, and policy checks run in parallel. A failed gate stops the story here.
  3. 03

    Artifact

    Code becomes an image.

    A versioned OCI image is built once, signed, and identified by digest so every environment receives the same artifact.
  4. 04

    GitOps release

    The cluster reconciles.

    A declarative change reaches Kubernetes. Health checks and rollout rules replace containers without hiding failure.
  5. 05

    Operations

    The cloud service reports back.

    Metrics, logs, and alerts confirm the release is healthy—and create the evidence needed to recover when it is not.

03 / Capabilities

One delivery path, four disciplines.

I work across the layers where infrastructure, software, security, and operations meet.

01

Cloud & infrastructure

AWS foundations, Terraform modules, Linux hardening, networks, storage, and cost-aware architecture.

02

Platform delivery

Docker, Kubernetes, Helm, GitOps, CI/CD, release controls, health checks, and operator handover.

03

Security & reliability

Policy gates, supply-chain evidence, observability, recovery plans, runbooks, and failure verification.

04

Applied AI systems

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.

05 / Field notes

Decisions behind the deployment.

Practical notes about trade-offs, failure boundaries, and the work between “it runs” and “someone else can operate it.”

06 / What’s next

A good system starts with a conversation.

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.

ResponseWithin two business days
TimezoneIndia Standard Time · UTC+5:30
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