$ whoamiMayank Singh — MCA'26
Cloud · AI Systems · DevSecOps Automation
Building reliable infrastructure and shipping clean software.
$ man mayankNAME
mayank-singh — cloud, devsecops, ai, android
SYNOPSIS
mayank [--build] [--deploy] [--automate] [--orchestrate] [--ship]
DESCRIPTION
Started with Android and gradually moved into cloud,
infrastructure automation and AI-driven systems.
Writes code that runs on devices and builds the
infrastructure that keeps it running in production.
Comfortable in the terminal. Thinks in pipelines.
Ships systems that work.
· Builds cloud-native systems on AWS using Lambda,
Docker, ECS and CloudFormation.
· Develops asynchronous event-driven architectures
using serverless workflows.
· Builds multi-agent AI workflows using LangGraph,
LangChain and Amazon Bedrock.
· Exploring Retrieval Augmented Generation (RAG),
vector search and repository-aware AI systems
using ChromaDB.
· Automates infrastructure and workflows using
Python, Boto3, shell scripts and cloud tooling.
· Builds CI/CD pipelines that take code from a git push
to a live deployment without manual intervention.
· Background in Android — Java, Kotlin,
Jetpack Compose — which means the software
and the infrastructure were both built by
the same hands.
· Interested in scalable systems, DevSecOps,
cloud infrastructure and intelligent automation.
OPTIONS
--build Android apps, Docker images, cloud stacks
--deploy AWS Lambda, ECS, CloudFormation, CI/CD
--automate Boto3, Playwright, Selenium, shell scripts
--orchestrate LangGraph, LangChain, multi-agent workflows
--ship commits, pushes, pipelines, done
EXIT STATUS
Always 0. Gets things done.
$ cat about.meI work at the intersection of cloud infrastructure,
automation and intelligent systems.
My foundation started with Android development —
building applications using Java, Kotlin and
Jetpack Compose. Over time, my focus shifted
towards infrastructure, DevSecOps and building
systems that scale reliably in production.
Lately, I have been exploring multi-agent AI systems,
LangGraph orchestration, Retrieval Augmented
Generation (RAG) and AI-driven automation workflows.
I enjoy building things that feel operational:
event-driven architectures, CI/CD pipelines,
serverless systems and workflows that remove
manual bottlenecks.
Outside of tech — I read a lot.
Geopolitics, history, engineering stories and books
about ambitious systems people managed to build.
I play cricket.
And I am learning horse riding because some skills
do not belong behind a screen.
$ cat stack.json{
"infrastructure" : ["AWS", "Terraform", "Nginx"],
"systems" : ["Linux", "Bash"],
"containers_cicd" : ["Docker", "Jenkins", "GitHub Actions"],
"languages" : ["Python", "Java", "JavaScript"],
"automation" : ["Boto3", "Selenium", "Playwright"],
"ai_orchestration": ["LangGraph", "LangChain"],
"llm_platforms" : ["Amazon Bedrock"],
"rag" : ["ChromaDB", "Vector Search"],
"backend" : ["Node.js", "Firebase"],
"databases" : ["MySQL", "PostgreSQL", "Supabase"],
"monitoring" : ["Grafana"],
"version_control" : ["Git", "GitHub", "Gitlab"],
"mobile" : ["Android SDK", "Jetpack Compose"]
}
