SACHIN®Start a Project

BUILD · AUTOMATE · DISTRIBUTE

Build what moves your business.

I’m Sachin Mallah. I build AI-powered products, automation systems, and distribution systems that solve real business problems.

Let's Build Something View Selected Work

✦ Trusted by founders, businesses, and creators building products that need to perform—not just look good.

Book a 20-minute intro call.

A short conversation about what you're building, where things are stuck, and whether I can help.

BOOK A CALL ↗20 MIN · GOOGLE MEET
Scroll to explore

Beyond Development

Most software works.
Very little software creates results.

I don't measure success by how many features ship.

I measure it by what happens after launch.

Whether that's an AI tool that saves hours every day, a platform that grows without constant attention, or software that quietly becomes part of someone's workflow—the goal is always the same.

Build products people actually use.

Technology is only the tool.

The outcome is what matters.

Great software isn't impressive because it's complicated.

It's impressive because people forget how they ever worked without it.
600M+Organic Instagram views generated
across multiple client accounts
AI ProductsDesigned & built for real-world use
Production SystemsBuilt and deployed for real businesses

Every number on this page is backed by real work, real clients, or products that anyone can explore.

Brand Experience

A storefront built to feel like a brand.

A website shouldn't feel like a catalogue.

It should feel like walking into the brand itself.

Raenx was designed as a complete digital experience—balancing performance, storytelling, commerce, and interaction into a storefront people actually enjoy exploring.

Every transition, every animation, and every layout decision exists to strengthen the brand, not distract from it.

  • Premium Ecommerce Experience
  • Modern UI/UX
  • High Performance
  • Responsive by Default
  • Motion-Driven Interface
  • Built for Growth
Products earn attention.
Brands earn memory.
View Case Study Explore Raenx
RAENX
RAENX Inspired By You Mockup
RAENX Wear What's Next Mockup
A considered commerce experience

Business Outcomes

Results don't happen by accident.
They happen by design.

Technology means very little if it doesn't move a business forward.

Behind every meaningful result is a system—designed, tested, refined, and allowed to do its job consistently.

That's how products scale.

That's how businesses grow.

600M+Organic Instagram Views

Generated through content systems, automation, and infrastructure built for long-term consistency—not short-term hacks.

Organic Instagram Reach

Aggregated performance across client portfolios (2022 → Present)

UK • Italy • Australia • Singapore • Canada
2022 → PRESENT
20222023202420252026
0
Organic Instagram Views
Across Multiple Client Brands
2022 → PRESENT
UK • Italy • Australia • Singapore • Canada
Multiple Client AccountsManaged Through Scalable Systems
Millions of Organic ReachWithout Paid Advertising
Repeatable WorkflowsBuilt to Reduce Manual Effort
Growth isn't a campaign.
It's the output of a system working exactly as it was designed.

SELECTED RESULTS · DISTRIBUTION

Useful ideas need distribution.

Before I started building products, I learned how attention behaves in the real world — what makes people stop, share, respond, and come back.

Across creator and faceless accounts, I worked on the system behind the content: packaging ideas, testing formats, reading audience response, and using each result to improve the next release.

These are a few documented outcomes from that work.

75M+plays on one Reel
43.3Maccounts reached (in 90 days)
3Maccounts engaged (in 90 days)
+116,430followers vs. prior period (in 90 days)

INSTAGRAM · BREAKOUT

75M+ plays on one Reel.

On one faceless page, I ran the content loop end to end — what to publish, how to package it, and what to change based on audience response.

One Reel eventually broke out to 75M+ plays, 6.4M likes and 550K saves.

INSTAGRAM · 90-DAY SYSTEM

43.3M accounts reached.

A viral post is interesting. A distribution system that keeps producing reach is much more useful.

Over this documented 90-day window, the content reached 43.3M accounts, engaged 3M, and produced 116,430 more followers than the preceding 90-day period.

The objective was never one spike. It was repeatable attention that compounded.

INSTAGRAM · REACTIVATION

From 7,842 Story views to 100K+.

One creator account already had a substantial audience, but its Story reach wasn't reflecting that potential. One captured baseline shows 7,842 views.

After changing how Stories were structured and designed for participation, one later interactive Story reached 100K+ views and generated 10,555 responses.

FORMAT RANGE

1.5M likes on a single image post.

The strongest outcomes weren't limited to short-form video.

A single static image generated 1.5M likes — another reminder that distribution starts with how an idea is packaged for the platform, not with one particular format.

YOUTUBE · TURNAROUND · 2026

From 8.7K views to 6M+ organically.

July closed with the channel at just 8,689 views. I began managing and publishing on August 5, rebuilding the content loop around stronger content selection, YouTube-native packaging, consistent publishing, and audience response.

By September 14, the channel reached 6,083,084 views (28-day window) with 2.99M engaged views and 150K likes without paid promotion. The channel's entire distribution trajectory changed.

View Case Study

OWNED EXPERIMENT · 2026

From zero to 3.1M+ views.

On July 26, I started a new Instagram account with no established audience behind it. I treated it as a live distribution experiment — handling content selection, packaging, publishing, and iteration myself, then using audience response to decide what to change next.

The account generated 3,125,787 views (97.2% from non-followers), reached 1.49M unique viewers, and grew past 1,750 followers without paid ads. No inherited audience. No historical momentum.

OPERATING PRINCIPLE

The medium changed. The loop didn't.

Observe behavior. Find the constraint. Change the system. Measure what happens. Keep what works.

That same feedback loop now shapes how I approach software.

Selected historical platform results from 2022. Metrics are presented as recorded in the supplied platform screenshots; rolling reporting windows are not combined.

Distribution & Growth

Building it is one problem.
Getting people to care is another.

I work on what happens after something is built: finding the right audience, earning their attention, and giving them a reason to come back.

The approach is the same as product development. Understand the problem, test an idea, and use the response to improve what comes next.

  1. 01

    Research

    Understand the audience.

  2. 02

    Create

    Develop useful ideas.

  3. 03

    Package

    Make the value clear.

  4. 04

    Distribute

    Publish for the platform.

  5. 05

    Measure

    Read the response.

  6. 06

    Iterate

    Improve the next release.

Strategy

Audience & positioning

Find the audience, the questions they care about, and a point of view worth returning to.

Execution

Creative & packaging

Turn that direction into concepts, hooks, and formats shaped for YouTube and Instagram.

Systems

Pipelines & operations

Connect production, publishing, automation, and reporting into a process a team can sustain.

The documented results above show this process in practice. The deeper story is how the work gets done.

Explore Distribution
Every product teaches you something.Some problems teach you how software works.Others teach you how systems work.

Deep Engineering

The interesting problems usually begin
where documentation ends.

Some problems don't have libraries.

They don't have tutorials.

They don't have Stack Overflow answers.

They require understanding how a system actually works before deciding how to change it.

That's the kind of work I enjoy most.

Research

Bilateral

Investigating whether Android exposes a path to independent left/right earbud control.

I mapped the documented audio path through Android's framework and system services to identify where channel-level control might be possible.

The working sketch identifies a possible control boundary, not a verified device path. Framework permissions, hidden APIs, and OEM processing limit what an ordinary app can assume.

The interesting part wasn't building the interface.
It was learning which controls are documented — and which remain unproven.
  • Android Audio Framework
  • AudioFlinger
  • Framework APIs
  • System Architecture
  • Hidden API Constraints
  • OEM Audio Processing
Android Audio Path Research Diagram
The best engineering isn't knowing the answer.
It's knowing how to find one.
Not every project becomes a product.
Some become the knowledge that makes every future product better.

How We Work Together

Great products aren't built by guessing.

Every project starts differently.

But they all follow the same principle:

Understand the problem before writing the first line of code.

The goal isn't to ship faster.

The goal is to build something that continues creating value long after it's launched.

01

Understand

Every project begins with questions.

Not requirements.

I want to understand the business, the users, and the real problem we're trying to solve—not just the feature list.

Because solving the wrong problem beautifully is still failure.

02

Design

Once the direction is clear, the system takes shape.

Architecture.
User experience.
AI workflows.
Automation.

Every decision is made with one goal:

Build something that's simple to use, easy to maintain, and ready to grow.

03

Build

Ideas only matter once people can use them.

I focus on shipping production-ready software early, gathering feedback quickly, and improving continuously instead of disappearing for months to chase perfection.

04

Improve

Launch is never the finish line.

Real products improve through usage, feedback, analytics, and iteration.

The best decisions are made after real people start using what you've built.

What I Build

The tools change.
The thinking doesn't.

Technology evolves.

Good problem solving doesn't.

I choose the technologies that best fit the product—not the other way around.

AI Systems

LLM-powered products.
AI agents & workflows.
RAG & knowledge systems.
Machine learning systems.
Computer vision.
Model & API integrations.

Product Engineering

Full-stack applications.
SaaS products.
Internal tools & platforms.
APIs & backend systems.
Authentication & payments.
Data dashboards.

Explore AI product development

Product Experience

Interface design.
Design systems.
Responsive experiences.
Interaction & motion.
Accessibility.
Performance.

Automation Systems

Workflow automation.
CRM & lead systems.
Platform integrations.
Operational workflows.
Data pipelines.
Analytics & reporting.

Distribution & Growth Systems

YouTube growth systems.
Instagram distribution.
Short-form content strategy.
Content pipelines.
Audience growth systems.
Performance analytics.

Different problems need different tools. The job is knowing which system to build.

Sachin Mallah portraitSM / 2026

A Little About Me

I like building things that outlast the excitement of launching them.

I'm most interested in products that solve a real problem so well they quietly become part of someone's everyday life.

The kind people stop thinking about because they simply work.

That's the standard I try to build toward.

I like starting with the problem before the technology — understanding what's actually slowing someone down, what should be automated, what should stay simple, and what needs to be engineered properly from the beginning.

My work tends to sit where AI, software, automation and product thinking overlap. I enjoy taking something ambiguous, turning it into a working system, and staying with it long enough to make it faster, clearer and more useful.

I'm interested in new technology, but not for the novelty of it. A model, framework or automation is only valuable to me when it helps create a better outcome for the person using it.

Outside of building, I spend a lot of time exploring new AI capabilities, studying how great products are designed, and experimenting with ideas that may eventually become something useful.

I don't want to build things that are impressive only in a demo.

I want to build things people keep using after the novelty is gone.

Because the best software doesn't feel complicated.

It feels inevitable.

More about me
Stay curious.
Build carefully.
Keep improving.

Start a Project

Build something worth keeping.

Whether you're building an AI product, launching a SaaS platform, modernizing internal workflows, or creating something completely new, I'd love to hear what you're working on.

I'll look at the problem, the opportunity, and what you're trying to achieve. If I can genuinely help, we'll figure out the next step. If I don't think I'm the right fit, I'll tell you that too.

Direct Email Usually replies within 24 hours.

PREFER TO TALK?

Book a 20-minute intro call.

A short conversation about what you're building, where things are stuck, and whether I can help.

BOOK A CALL ↗20 MIN · GOOGLE MEET