// ABOUT

About

How I work, what I work with, and where I'm headed.

// HOW I WORK

How I approach engineering

K
Krishna Shukla
AI & Cloud Engineer
8.8
B.Tech CGPA
3
Clouds
Agentic
AI Focus

How does this actually work?

I want to know how a system behaves underneath before I trust it, so I dig until the black boxes aren't black anymore. Most of my projects start as that one question.

Build it, break it, fix it

I learn a thing by building it, breaking it, and fixing it. Implementation over theory, every time — tutorials never taught me as much as a system falling over did.

Infrastructure is a product

I provision with Terraform, ship through CI/CD, and keep it observable, so the next person can read it and build on it instead of guessing how it runs.

// STACK

The stack I work in

Four areas I work across. Cloud carries delivery, delivery moves data, and data feeds the AI on top of it.

A
AI & GenAI
INTELLIGENCE
  • LangChain
  • LangGraph
  • Azure OpenAI
  • MCP
  • Prompt Engineering
C
Cloud
PLATFORMS
  • Microsoft Azure
  • AWS
D
DevOps & IaC
DELIVERY
  • Terraform
  • Azure DevOps
  • CI/CD
  • Docker
  • Kubernetes
D
Data
PIPELINES
  • Azure Data Factory
  • Databricks SQL
  • Pandas
  • Power BI
CloudDevOpsDataAI

// EXPERIENCE

Where I've built

Junior Associate — AI & Cloud Engineer

NOV 2025 — PRESENT

Celebal Technologies

Building FinOps Hub, a natural-language FinOps analyst on Azure and Databricks. It includes a hybrid template and LLM SQL engine, a FastAPI and Next.js streaming interface, a bronze-silver-gold warehouse, and an AWS observability MCP server, provisioned with Terraform and Azure DevOps.

Software Engineer

JUL 2025 — OCT 2025

Encodency Pvt Ltd

Built backend services and software, working across teams on application development and deployment, with version control, debugging, testing, and delivery as part of the routine.