C CHADAEV.AI Automation and MVP delivery for business RU Describe your task
Primary format · one process · 2-4 weeks

I remove manual work between Excel, CRM, email, and APIs

I build an operational workflow for a recurring process: data collection, checks, calculations, statuses, a report, an alert, or a simple internal interface.

This fits when the process already exists and its losses are visible: team hours, errors, delays, manual handoffs, or dependence on one person.

Excel · CRM · APIs Email · messaging · CSV Reports · reconciliation · alerts Internal interfaces Python · FastAPI LLMs where useful

The output is not another manual summary, but an operational workflow around the data.

When custom automation is usually justified.

We start by measuring the operational loss, not by counting features: how often the process repeats, how many people touch it, and what an error or delay costs.

01

The process consumes dozens of hours each month

People repeatedly reconcile the same data, update statuses, check conditions, or prepare the same reports.

02

An error affects revenue or a client

A missed request, incorrect amount, late status, or outdated version creates a real operational risk.

03

Several data sources must be combined

Excel, CRM, client portals, email, messaging apps, CSV files, and APIs must be manually assembled into one view.

04

The process rules already repeat

There is a process owner, and it is possible to describe what is checked, which result is needed, and when a person must intervene.

05

SaaS still leaves manual workarounds

The standard tool helps, but custom logic, integrations, or output formats still live in adjacent spreadsheets and chats.

06

One first outcome can be isolated

For example: a recurring report, automated reconciliation, alert, shortlist, status panel, or a unified backend layer.

What can be built in the first sprint.

Not an attempt to automate the entire business, but one useful first release: a report, reconciliation workflow, dashboard, alert, shortlist, or internal interface.

01 Report

Recurring report

Collect data from spreadsheets, CRM, APIs, files, or email, normalize it, calculate the required metrics, and deliver the report on schedule.

Daily report ready 07:00 local time
Needs attention 3 tasks
Activity · 7 days
! SLA for request #1842 - exceeded by 12 min
Excel CRM API Schedule
02 QA

Reconciliation and error control

Check amounts, statuses, duplicates, missing records, overdue items, discrepancies, and other conditions that are currently reviewed by hand.

Website Messaging External API CSV
backend layer · data layer
Report Notification Interface Database
Rules Anomalies Control Logs
03 Research

Shortlists and research

Collect source data, filter it with rules and an LLM, and score companies, candidates, partners, objects, or market signals.

Sources
Spreadsheets API Files
Filter + LLM
rule A rule B LLM
Shortlist · report
01Company A87
02Company B81
+21 shortlisted
Scraping LLM Scoring Report
04 Dashboard

Dashboard and alerts

A simple interface or report showing process status, problem areas, owners, and events that require action.

Daily report ready 07:00 local time
Needs attention 3 tasks
Activity · 7 days
! SLA for request #1842 - exceeded by 12 min
Dashboard Statuses Alerts Messaging
05 Ops

Internal interface

A working area for the team: requests, statuses, comments, owners, actions, change history, and basic roles.

Request Status Owner
#1842 in progress Maya
#1843 needs attention Alex
#1844 done Sam
UI Roles Statuses Activity log
06 Data

Data layer / API integration

A backend layer connecting a website, CRM, external APIs, spreadsheets, messaging apps, a database, and reports into one operational workflow.

Website Messaging External API CSV
backend layer · data layer
Report Notification Interface Database
FastAPI REST Webhooks Database

Practical experience behind the automation work.

Three types of systems from my product experience. Company names and internal metrics are omitted; every client solution is rebuilt around that client's data and rules.

Experience · 01 rules and KPIs

Rule- and KPI-based optimization service

Task

Regularly retrieve metrics from external systems and perform repeatable actions according to defined rules and KPIs.

What I built

A Python/FastAPI service with API data collection, thresholds and rules, scheduling, a decision log, error handling, and notifications.

Why it matters here

The same architecture applies to reconciliations, control reports, statuses, alerts, and other recurring operations.

Experience · 02 data + LLM

Partner research through data and LLMs

Task

Regularly refresh a shortlist of potential partners or target entities using several data sources and consistent criteria.

What I built

Scraping, normalization, filters, LLM analysis, result storage, and a working shortlist for the team.

Why it matters here

It is a complete workflow from sources and rules to a usable result, without rebuilding everything manually each time.

Experience · 03 APIs and events

Server-side event and external API workflow

Task

Receive, normalize, and forward events between applications, trackers, external APIs, and an internal backend.

What I built

API endpoints, format normalization, deduplication, retries, error logs, reconciliation, and delivery control.

Why it matters here

This is practical experience with unstable APIs, format changes, data loss, and production incidents.

Report / Process Sprint.

A focused sprint that turns a manual report, summary, reconciliation, or recurring process into a working tool in 2-4 weeks.

01

Review the current process

You show how the report, summary, shortlist, or control workflow is currently assembled.

02

Scope the first release

We define what belongs in the first working result and what should wait for a later phase.

03

Data and rules design

We define sources, fields, checks, calculations, roles, notifications, errors, and the output format.

04

Build the tool

I implement the backend, source connections, processing, reporting, interface, notifications, or API integrations.

05

Validate and hand over

We run the workflow on real data, test errors and edge cases, and I hand over instructions and known limitations.

Formats and budget.

If the process is not yet described technically, we begin with discovery. If the scope is already clear, we can move directly into the sprint.

01

Process assessment

Review the sources, manual steps, risks, first useful release, and expected budget range.

Timeline1-5 business days
Budgetfrom $500

You receive the first-release boundaries, source list, and a recommended next step. If a sprint starts within 14 days, the assessment fee can be credited toward it.

03

Larger phase

For work spanning several processes, departments, complex roles, many sources, or a full product.

Timelinefrom 1 month
Budgetfrom $10,000

Split into stages with a clear outcome and acceptance criterion for each stage.

04

Support and development

For tools already in use: monitoring, fixes, new reports, rule changes, and continued development.

Timelinemonthly cadence
Budgetfrom $700 / month

New modules and major changes are estimated separately.

What is included and what is not.

The first sprint should solve one useful process, not turn into an endless attempt to automate the entire company.

01

Included: process review, data-source design, connections to APIs, spreadsheets, files, email, or messaging apps, plus backend logic and a database where needed.

02

Included: validation, filtering, and calculation rules, a report, dashboard, alert, or simple interface, basic logs, instructions, and handoff.

03

Not included: automating the entire business at once, an enterprise-scale BI/DWH program, or advanced interface design as a separate product.

04

I do not run paid media or promise sales growth. I work with data, processes, reporting, integrations, and internal tools.

05

I do not take on work without a process owner, access to data or sample files, and a clear acceptance criterion.

06

If an off-the-shelf product covers 80-90% of the requirement, it is usually more rational to use it. Custom work is justified when the workflow is genuinely specific.

How the work proceeds.

We first define one useful result. We do not build a large system until the necessary data, actions, and decisions are clear.

01

You show the current process

How the report or summary is assembled, which files and systems are involved, who owns each step, how often it runs, and where it fails.

02

Introductory call

We determine whether the task fits discovery, a sprint, or another format.

03

Discovery and scope

We define sources, rules, risks, the output format, and the contents of the first release.

04

Build and validation

I implement the tool, run real data through it, and test errors and edge cases.

05

Handoff

Demo, instructions, known limitations, stabilization, and a plan for further development.

About

I personally lead the work from the first review to a working result.

I work across engineering, product, and delivery. I quickly make sense of poorly defined tasks, identify a useful first outcome, and deliver a version that can be used, validated, and developed further.

There is no extra management layer: I personally handle the first conversation, discovery, first-release scope, technical design, implementation, and outcome control. I work remotely with teams in different countries.

  • 13+ years across software development, product, and project delivery
  • Hands-on CTO / Tech Lead combining technical decisions, implementation, and delivery management
  • Python, FastAPI, REST APIs, databases, LLMs, scraping, and integrations
  • Enterprise products, client projects, and my own small teams
  • Production operations, complex incidents, logging, and stabilization
  • I personally define the first-release scope and remain accountable for the working handoff

Frequently asked questions.

Short answers about manual reporting, data, SaaS, and AI.

A dashboard displays data. The problem often begins earlier: data sits in different systems, exports are unstable, validation rules do not exist, and nobody knows which version is current.

I build the operational workflow: sources, processing, checks, reporting, alerts, or an interface.

Yes. If the task is not fully defined, discovery clarifies sources, constraints, risks, the first working result, and the likely budget range.

Yes, where it adds value: classification, research, text analysis, drafting, search over data, or entity selection. High-impact actions are designed with rules, logs, and human control.

Spreadsheets, CSV, CRM, APIs, databases, email, messaging apps, files, client portals, and other sources when access is available and the task is clear.

A process owner, sample data, access to sources or test exports, a description of the current manual workflow, and a clear acceptance criterion.

Is there a recurring process that already costs time or creates avoidable errors?

Describe the steps, data sources, frequency, and cost of an error. I will tell you whether a sensible first release can be isolated and what budget range to expect.

Direct contact
Telegram
Response time
I usually reply within one business day. If the request needs a closer review, I will return with a short assessment within 1-2 business days.
Availability
I take on 1-2 focused projects per month.
Describe one recurring process: what a person does, where the data comes from, how often it happens, and what an error or delay costs.
You can attach a brief, diagram, spreadsheet, screenshots, export, or process description. If the files are larger, add a cloud link in the task description.
I will personally read the request and usually reply within one business day. If it requires a closer review, I will get back with a short assessment within 1-2 business days.