Mohammed Maaz A
I turn ideas into products, connect the dots between AI and automation, and care about the little things that make it all feel right.
Get to know mePRODUCTS / AI & AUTOMATION / AN EYE FOR DETAIL
A little further downI’m Maaz, a Bengaluru-based technologist exploring the space where useful products, thoughtful design, and intelligent systems meet.
My path runs through computing, software testing, SAP, and enterprise automation. Along the way, it has opened into data engineering, AI agents, and products of my own.
I like taking an idea beyond the first screen: figuring out how it works, how people use it, and what happens when something goes wrong. Then I’ll probably revisit the typography.
A builder, with a designer’s attention.
No perfectly straight line. Just a growing set of questions, skills, and things I wanted to make.
A BCA background and experience with software testing started the technical thread. Understanding a system also meant noticing its edge cases, checking assumptions, and asking what could break.
Computing · Software quality · Practical problem-solvingSAP and enterprise automation brought a different scale of problem: approvals, operational tasks, integrations, and data moving between systems. UiPath, SAP Build, and scripting became ways to make those processes more useful.
SAP · UiPath · Enterprise automationDiscuss became a recurring focus: a developer community, a product, and a place to keep experimenting. BunkBuddy explored a smaller everyday problem—student attendance—with local data and no account creation at its core.
Community · Privacy-conscious products · Independent buildingMy interests expanded into Snowflake, ADF, dbt, and agentic AI. LedgerProof put evidence and review at the center of a finance-agent experiment. ONYIIX gave my software and design work an agency identity.
Data engineering · LedgerProof · ONYIIXThe questions keep getting more specific. Can messages recover after a failed send? Does an app stay fast as its history grows? Can a new user bring their own data? I’m working toward deeper AI and data skills while continuing to build.
Still figuring things out. Still moving.Some are ongoing products. Some are experiments. Each follows a problem I wanted to understand.
My recurring product thread: community, conversations, and ideas for helping developers find one another. It keeps pushing me to think about the whole experience, from the landing page to reliable messaging.
My work and plans span chat, notifications, caching, and performance. AI TalentGraph explores profile analysis, matching, teams, and opportunities. Blink is a camera-only, friends-only, view-once photo direction.
Those extensions are evolving ideas and development threads, rather than a claim that every feature is shipped.
An attendance companion built around a simple approach: no account creation and locally held data. It reflects my interest in useful products that ask less of the people using them.
BunkBuddy combines a student-focused use case with a local-first approach. The project history also includes an Android direction. Its appeal to me is how a focused tool can solve something familiar without becoming complicated.
A finance-agent project for the Syndicate by Maximor hackathon, centered on reconciliation, exceptions, decision traces, and human review. The goal: work with uploaded data, with evidence behind the output.
The recorded build brings together Next.js, React, FastAPI, workspace isolation, and CSV/XLSX imports. Local and deterministic finance logic was part of the approach, with a focus on keeping external AI API costs down.
Audit evidence and evaluation were central to the idea, alongside the finance workflows themselves.
My agency brand brings software, design, and product work under one identity. From the spelling to the smallest visual detail, it is an exercise in making something recognizably my own.
The work includes the agency’s positioning, visual identity, website copy, and social presence. It represents my ambition to turn development and design capabilities into independent commercial work.
Automotive Workshop SaaS — a proposal and MVP direction for garage operations, vehicles, work orders, appointments, and approvals.
SAP purchasing approvals — AI-assisted purchase-request and invoice workflows, alongside SAP GUI and UiPath automation.
Personal finance tooling — transaction capture, deduplication, and structured reporting through Apps Script and spreadsheets.
HerFlow — a cycle-oriented product. XPred Tracker — expense tracking and prediction. PrimKart — e-commerce work.
Trip Helper — AI itinerary planning. Brain-Pad — an LLM notebook direction.
Auto Track Pro, Eamease, Lockera, and Kagaz also appear in my earlier project history. Their current scope and status remain to be documented.
The preferences and habits that don’t quite fit on a résumé.
Typography, whitespace, transparent backgrounds, and exact brand spelling. I notice the details, and I’ll come back to get them right.
Especially on mobile.I combine code, AI tools, libraries, and automation to get a real result. The tool earns its place by helping the product work.
Whatever gets the idea working.Clean layouts, restrained motion, and a clear hierarchy. I want visual inspiration to become something with its own identity.
And definitely no emojis.Failed sends, duplicate records, expired media, and isolated workspaces. The uncomfortable edge cases are part of building the thing.
The demo is only the beginning.Free tiers, local models, self-hosting, and careful infrastructure choices. I’m interested in how far a thoughtful setup can go.
Resourceful by design.I like moving quickly, but existing work matters. Improve the experience, protect the working pieces, and keep refining.
Build. Learn. Revisit.The tools vary. The interesting part is what becomes possible when they work together.
Always room for one more question.Python / SQL / Snowflake / Azure Data Factory / dbt / Power BI
SAP Build / SAP BTP / UiPath / Power Automate / SAP GUI scripting
LLM integrations / Agent workflows / Gemini / Mistral / Local AI experiments
React / Next.js / TypeScript / Node.js / Firebase / IndexedDB
These are recurring areas in my work and learning, with different levels of experience across them.