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Sheesh Mirza

Sheesh Mirza · Software Engineer · AI Builder · Creator

Sheesh Mirza.
Building useful things.

Software engineer focused on Software Engineering & System Designing, Artificial Intelligence, and intelligent automation. Exploring startups, problem discovery, and human psychology.

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Interests

Things That Keep Me Curious

01

Software Engineering & System Designing

Backend systems, distributed architectures, APIs, reliability, and the engineering decisions that make software dependable.

02

Artificial Intelligence & Machine Learning

LLMs, AI agents, Model Context Protocol, evaluation, automation, and turning probabilistic models into production systems.

03

Automation and Intelligent Systems

Autonomous workflows, intelligent task execution, and eliminating operational friction through software.

04

Entrepreneurship, Startups & Innovation

Finding problems worth solving, testing ideas with real users, building distribution, and scaling products into sustainable businesses.

05

Human Psychology, Behavior & Habits

Why people buy, how habits form, mental models for clearer thinking, and the behavioral drivers behind technology adoption.

Work

Projects and experiments

Software, prototypes, and open source repositories fetched live from GitHub.

Web & Engineering

smirza.in

Personal website and digital garden built with Next.js, React, and Tailwind CSS.

TypeScript
Web & Engineering

MailHost Web Client

Web application interface for the MailHost email service.

TypeScript
Systems & Backend

MailHost API Service

High-performance backend API and microservice for MailHost.

Go
Systems & Backend

Local DevOps & Docker Environment

Some handy Docker scripts to run and keep useful tools locally on your machine. Enjoy! 😜 — Sheesh

Shelldockerdocker-composedocker-imagedocker-images+16
AI & Machine Learning

Ollama LangChain Client

Ollama Adapter is a small Python command-line example for asking a local Ollama chat model questions through LangChain. It is intentionally lightweight: the repository currently provides the model client and configuration layer, not a document-ingestion or retrieval pipeline.

Pythonchatchatbotsdockerintegration+16
AI & Machine Learning

AI Agents for Beginners

18 Lessons to Get Started Building AI Agents

agentic-aiagentic-frameworkagentic-ragai-agentsai-agents-framework+6
AI & Machine Learning

Hands-On LLMs Code

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

artificial-intelligencebooklarge-language-modelsllmllms+2
AI & Machine Learning

LLM Course & Notebooks

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

courselarge-language-modelsllmmachine-learningroadmap
AI & Machine Learning

Made With ML Applications

Learn how to develop, deploy and iterate on production-grade ML applications.

data-engineeringdata-qualitydata-sciencedeep-learningdistributed-ml+8
AI & Machine Learning

AI Model Gateway & Wrapper

Go-based generative AI wrapper and integration proxy.

Go
Web & Engineering

FreeCharge Hackathon Project

FreeCharge Hackathon 2026

Software
Algorithms & Learning

Data Structures in JavaScript

Data structures with JavaScript

JavaScript
Algorithms & Learning

LeetCode 30 Days of JS

LeetCode 30 Days of JavaScript

JavaScript
AI & Machine Learning

OpenCV Vision & Detection

OpenCV Object Detection with Python

Python
Systems & Backend

Polyglot Systems Programming

Polyglot programming explorations in C++ and systems languages.

C++

Beliefs

A Few Things I Believe

“Test a small version of your idea today before spending months on an unproven plan.”
“Great software removes effort for people. It never shows off complexity.”
“People don't buy technical specs; they buy safety, status, and peace of mind.”
“A fast backend means nothing if the interface is confusing and hard to use.”
“Shipping fast only helps when you listen closely to real user feedback.”
“Every extra feature brings bugs. Only keep what directly solves an important problem.”
“AI doesn't replace clear thinking; it magnifies sloppy thinking at lightning speed.”
“Understand how the customer feels, not just the technical bug they reported.”
“Simple systems are hard to design, but they are the easiest to trust and maintain.”
“Tight constraints create clean code. Big budgets create slow, bloated software.”
“Prove your idea with real users instead of endless theoretical debates.”
“User trust takes months of reliability to build and one bad design trick to destroy.”
“Master the fundamentals of databases, networks, and memory before chasing trends.”
“One focused builder using modern automated tools can outpace a team stuck in meetings.”