MK.
Growth systems / Paid acquisitionAvailable for the right role
Remote · Open to relocation from Nov 2026

I build growth systemsthat turn paid acquisition into profitable scale.

I'm Mikhail Kreshetov, a performance marketer and automation builder. I personally managed up to $600K in monthly Meta spend while building systems that reduced the core daily campaign workload from as much as five hours to under one.

Explore the work Download résumé
META ADS ✦PYTHON ✦SQL ✦REST API ✦UGC ✦GROWTH OPS ✦META ADS ✦PYTHON ✦SQL ✦REST API ✦UGC ✦GROWTH OPS ✦
01 / IMPACT

Numbers that show
operating range.

These figures represent the acquisition scope I personally managed inside the team—not aggregate company numbers.

$600Kpeak monthly Meta spend under my direct management
$220Kpeak monthly profit at approximately $500K spend
300+campaigns managed across the acquisition operation
40–50Meta ad accounts used for the US market
02 / SELECTED WORK

From manual campaigns
to an operating system.

Confidential iGaming company · US market · Jul 2025–Present

CASE DETAILS SANITIZED · NDA

I managed the campaigns myself, identified the repetitive decisions, and then converted that operating logic into an automated acquisition workflow.

Scale

Operate more than 300 campaigns across 40–50 Meta ad accounts targeting the US market.

Actions

Launch and duplicate campaigns, monitor status and performance, update budgets, scale winners, and pause underperformers.

Build

Python, SQL, and API systems encoded those recurring actions and replaced most of my manual campaign maintenance.

Outcome

Up to $600K in monthly spend under direct management; peak monthly profit of $220K at approximately $500K spend.

ACQUISITION ENGINE LIVE
AUTOMATEDGROWTHPython · SQL · API
LAUNCH
MONITOR
OPTIMIZE
SCALE / PAUSE
MONITORING: EVERY 2–3 HOURSOUTPUT: AUTOMATED ACTIONS
MY DIRECT CONTRIBUTION

What I owned end to end

Specific responsibilities from the role, described at a level that respects the company's NDA.

01

Campaign operations

Personally managed the full operating scope: 40–50 ad accounts, 300+ campaigns, and up to $600K in monthly Meta spend.

02

Profit decisions

Tracked performance at account, campaign, and creative level; used spend and profit signals to change budgets, scale, or stop traffic.

03

Creative R&D

Proposed new approaches and UGC concepts, isolated the strongest elements of winning creatives, and expanded them into testable variants.

04

Acquisition product

Worked beyond the ad account—shaping funnels, apps, offers, and the connection between the ad promise and the conversion path.

05

Automation logic

Defined the rules and built systems for campaign creation, duplication, monitoring, budget updates, scaling, and pausing.

06

Team execution

Operated inside a team while retaining direct ownership of my acquisition scope, decisions, and the automation behind it.

PRODUCTION AUTOMATION

Three systems behind
the operating leverage.

Built from the real bottlenecks of running acquisition at scale: launch throughput, continuous optimization, and system reliability.

01 / PRODUCTION PIPELINE5H → <1H

Creative-to-launch automation

A workflow for automated creative generation, analysis and launch selection, followed by campaign preparation and upload. It reduced the main daily operating task from as much as five hours to under one hour.

Creative generationLaunch analysisAutomatic upload
02 / CAMPAIGN ENGINE100 / DAY

High-volume campaign operations

The system supports the daily launch of approximately 100 campaigns, then monitors the complete traffic operation every two to three hours and automatically applies the required actions.

Bulk campaign launch2–3 hour monitoringAutomated actions
03 / ADAPTIVE CONTROL24 / 7

Self-improving optimization layer

Optimization rules are re-evaluated and updated over time through retraining. Telegram alerts, detailed logs, a dashboard, and a control interface keep the operation observable.

Adaptive rulesAI integrity agentImprovement suggestions

A dedicated AI agent continuously checks system integrity and proposes improvements to the operating logic.

ALERTS · LOGS · DASHBOARD · CONTROL UI
SYSTEM ARCHITECTURE

From growth hypothesis
to verified action.

A production workflow connecting creative inputs, campaign orchestration, data quality, adaptive decisions, platform actions, and operational visibility.

01

Inputs

Creative generator

Launch plans

Account health

02

Orchestration

Task queue

Capacity planning

Campaign builder

03

Data layer

API collection

SQL normalization

Quality checks

04

Decision engine

Adaptive rules

Re-evaluation

Retraining

05

Actions

Budget

Scale / pause

Recovery

06

Observability

Dashboard

Logs

Telegram alerts

AI WATCHDOG

Integrity checks across the complete pipeline · anomaly detection · recovery validation · improvement proposals

CONTINUOUS
SELECTED PRODUCT VIEWS

The system is real.
Here is what I built.

Selected views from the internal operating interface. No client or personal names are shown; the visible figures represent partial operational samples.

Sanitized AutoAd OS acquisition control center with profit, spend, revenue, ROI, system health, and a profit trend
01 / CONTROL CENTER

One operating view for performance, risks, data quality, and system status.

Sanitized AutoAd OS launch pipeline showing capacity, batch launch progress, active launches, and completed tasks
02 / LAUNCH PIPELINE

Batch execution, launch capacity, live progress, errors, and system workload in one place.

03 / CAPABILITIES

Strategy, execution,
and the system between them.

01

Paid acquisition

Built campaign structures, launched and duplicated campaigns across accounts, monitored performance, changed budgets, and made scale-or-pause decisions.

02

Creative systems

Developed funnels, offers, app concepts, creative angles, and UGC ideas; analyzed why winners worked and turned those signals into new variants.

03

Growth automation

Translated recurring buyer logic into Python, SQL, and API workflows for launch, monitoring, optimization, scaling, and campaign shutdown.

04 / CREATIVE LOOP

Find the signal.
Build more of what works.

I start with a funnel, offer, app, creative angle, or UGC concept; launch the hypothesis; compare the performance signals; identify which elements drive the result; and turn them into the next batch of variants for scaling.

01Funnel
02Creative
03App
04Offer
05UGC
06Scale
05 / EXPERIENCE

Built in the work,
not just around it.

JUL 2025 — PRESENT
CONFIDENTIAL iGAMING COMPANY

Performance Marketing & Growth Automation

Personally managed up to $600K monthly Meta spend across 40–50 accounts and 300+ campaigns; owned funnel, offer, app, creative, UGC, profitability, and campaign-automation work.

REMOTE
FEB — JUN 2025
MST

Organic Acquisition

Zero-budget traffic acquisition through YouTube, Instagram, and Threads.

REMOTE
EXPECTED 2028
MTI

Programming / Software Engineering

Formal technical education alongside hands-on growth systems work.

IN PROGRESS
06 / NEXT

Looking for a team that wants
leverage, not busywork.

User AcquisitionPerformance MarketingGrowth OperationsMarketing Automation
CV 01 / AUTOMATIONGrowth Automation

For Growth Operations, Marketing Automation, MarTech, and Technical UA roles.

CV 02 / ACQUISITIONPerformance Marketing

For User Acquisition, Meta, Paid Social, and Performance Marketing roles.

English: B1, actively improving · Fully remote · Full-time preferred · Open to international teams and relocation from November 2026